{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LSTM - Long Short Term Memory\n",
    "\n",
    "http://data.is/1bKs2mG \n",
    "\n",
    "International airline passengers: monthly totals in thousands. Jan 49 – Dec 60\n",
    "\n",
    "After https://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "ConX, version 3.6.0\n"
     ]
    }
   ],
   "source": [
    "import conx as cx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this experiment, we will use the monthly counts of international airline passengers on tickets between 1949 and 1961, in thousands:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = [112, 118, 132, 129, 121, 135, 148, 148, 136, 119, 104, 118, 115, \n",
    "        126, 141, 135, 125, 149, 170, 170, 158, 133, 114, 140, 145, 150, \n",
    "        178, 163, 172, 178, 199, 199, 184, 162, 146, 166, 171, 180, 193, \n",
    "        181, 183, 218, 230, 242, 209, 191, 172, 194, 196, 196, 236, 235, \n",
    "        229, 243, 264, 272, 237, 211, 180, 201, 204, 188, 235, 227, 234, \n",
    "        264, 302, 293, 259, 229, 203, 229, 242, 233, 267, 269, 270, 315, \n",
    "        364, 347, 312, 274, 237, 278, 284, 277, 317, 313, 318, 374, 413, \n",
    "        405, 355, 306, 271, 306, 315, 301, 356, 348, 355, 422, 465, 467, \n",
    "        404, 347, 305, 336, 340, 318, 362, 348, 363, 435, 491, 505, 404, \n",
    "        359, 310, 337, 360, 342, 406, 396, 420, 472, 548, 559, 463, 407, \n",
    "        362, 405, 417, 391, 419, 461, 472, 535, 622, 606, 508, 461, 390, \n",
    "        432]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting the data shows a regular, but varying, cyclic pattern:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd705051630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cx.plot([\"\", data], \n",
    "        title=\"International airline passengers: monthly totals in thousands. Jan 49 – Dec 61\",\n",
    "        xlabel=\"year\", \n",
    "        ylabel=\"counts (thousands)\",\n",
    "        xs=cx.frange(1949, 1961, 1/12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's scale the counts into the range 0 - 1:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def scale(data):\n",
    "    \"\"\"\n",
    "    Scale data to between 0 and 1\n",
    "    \"\"\"\n",
    "    minv = min(data)\n",
    "    maxv = max(data)\n",
    "    span = maxv - minv\n",
    "    return [(v - minv)/span for v in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_data = scale(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd702fe3d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cx.plot([\"Scaled Data\", scaled_data])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For our dataset, we will contruct a history sequence. First, we need to put each scaled value into a list. This is the list of *features*. In our case, we just have the one feature:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "sequence = [[datum] for datum in scaled_data]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We wish that the inputs -> targets are constructed as follows:\n",
    "\n",
    "1. [S0] -> S1\n",
    "2. [S1] -> S2\n",
    "3. ...\n",
    "\n",
    "where Sn is a list of features in the sequence."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to inform the network of the shape of the sequence. We need the:\n",
    "\n",
    "* time_steps - the length of the history\n",
    "* batch_size - how many vectors are the inputs composed of?\n",
    "* features - the length of each input bank vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_steps = 1  # history\n",
    "batch_size = 1  # how many to load at once\n",
    "features = 1    # features (length of input vector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_dataset(sequence, time_steps):\n",
    "    dataset = []\n",
    "    for i in range(len(sequence)-time_steps-1):\n",
    "        dataset.append([sequence[i:(i+time_steps)], \n",
    "                       sequence[i + time_steps]])\n",
    "    return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = create_dataset(sequence, time_steps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[0.015444015444015444]], [0.02702702702702703]]\n",
      "[[[0.02702702702702703]], [0.05405405405405406]]\n"
     ]
    }
   ],
   "source": [
    "print(dataset[0])\n",
    "print(dataset[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we construct the network giving the batch_shape in terms of (look_back, banks, width):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "net = cx.Network(\"LSTM\")\n",
    "net.add(cx.Layer(\"input\", features, batch_shape=(batch_size, time_steps, features)))\n",
    "net.add(cx.LSTMLayer(\"lstm\", 4)) \n",
    "net.add(cx.Layer(\"output\", 1))\n",
    "net.connect()\n",
    "net.compile(error=\"mse\", optimizer=\"adam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "net.dataset.load(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d69c1267c464210a1c70e9ed5b06c5e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>Dashboard</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "Dashboard(children=(Accordion(children=(HBox(children=(VBox(children=(Select(description='Dataset:', index=1, options=('Test', 'Train'), rows=1, value='Train'), FloatSlider(value=0.5, continuous_update=False, description='Zoom', layout=Layout(width='65%'), max=1.0, style=SliderStyle(description_width='initial')), IntText(value=150, description='Horizontal space between banks:', style=DescriptionStyle(description_width='initial')), IntText(value=30, description='Vertical space between layers:', style=DescriptionStyle(description_width='initial')), HBox(children=(Checkbox(value=False, description='Show Targets', style=DescriptionStyle(description_width='initial')), Checkbox(value=False, description='Errors', style=DescriptionStyle(description_width='initial')))), Select(description='Features:', options=('',), rows=1, value=''), IntText(value=3, description='Feature columns:', style=DescriptionStyle(description_width='initial')), FloatText(value=1.0, description='Feature scale:', style=DescriptionStyle(description_width='initial'))), layout=Layout(width='100%')), VBox(children=(Select(description='Layer:', index=2, options=('input', 'lstm', 'output'), rows=1, value='output'), Checkbox(value=True, description='Visible'), Select(description='Colormap:', options=('', 'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Vega10', 'Vega10_r', 'Vega20', 'Vega20_r', 'Vega20b', 'Vega20b_r', 'Vega20c', 'Vega20c_r', 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno', 'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r', 'seismic', 'seismic_r', 'spectral', 'spectral_r', 'spring', 'spring_r', 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'viridis', 'viridis_r', 'winter', 'winter_r'), rows=1, value=''), HTML(value='<img src=\"data:image/gif;base64,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\"/>'), FloatText(value=-2.0, description='Leftmost color maps to:', style=DescriptionStyle(description_width='initial')), FloatText(value=2.0, description='Rightmost color maps to:', style=DescriptionStyle(description_width='initial')), IntText(value=0, description='Feature to show:', style=DescriptionStyle(description_width='initial')), HBox(children=(Checkbox(value=False, description='Rotate network', layout=Layout(width='52%'), style=DescriptionStyle(description_width='initial')), Button(icon='save', layout=Layout(width='10%'), style=ButtonStyle())))), layout=Layout(width='100%')))),), selected_index=None, _titles={'0': 'LSTM'}), VBox(children=(HBox(children=(IntSlider(value=0, continuous_update=False, description='Dataset index', layout=Layout(width='100%'), max=95), Label(value='of 96', layout=Layout(width='100px'))), layout=Layout(height='40px')), HBox(children=(Button(icon='fast-backward', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='backward', layout=Layout(width='100%'), style=ButtonStyle()), IntText(value=0, layout=Layout(width='100%')), Button(icon='forward', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='fast-forward', layout=Layout(width='100%'), style=ButtonStyle()), Button(description='Play', icon='play', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='refresh', layout=Layout(width='25%'), style=ButtonStyle())), layout=Layout(height='50px', width='100%'))), layout=Layout(width='100%')), HTML(value='<p style=\"text-align:center\"></p>', layout=Layout(justify_content='center', overflow_x='auto', overflow_y='auto', width='95%')), Output()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dash = net.dashboard()\n",
    "dash"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "net.dataset.split(.33)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.127245232462883]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dash.propagate([[1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd7000e31d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outputs = [net.propagate(i) for i in net.dataset.inputs]\n",
    "cx.plot([[\"Network\", outputs], [\"Training data\", net.dataset.targets]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 720 288\" width=\"720pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <defs>\n",
       "  <style type=\"text/css\">\n",
       "*{stroke-linecap:butt;stroke-linejoin:round;}\n",
       "  </style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288  L 720 288  L 720 0  L 0 0  z \" style=\"fill:#ffffff;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 90 252  L 343.636364 252  L 343.636364 34.56  L 90 34.56  z \" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0  L 0 3.5  \" id=\"mb235f96f8b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"101.528926\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 0 -->\n",
       "      <defs>\n",
       "       <path d=\"M 31.78125 66.40625  Q 24.171875 66.40625 20.328125 58.90625  Q 16.5 51.421875 16.5 36.375  Q 16.5 21.390625 20.328125 13.890625  Q 24.171875 6.390625 31.78125 6.390625  Q 39.453125 6.390625 43.28125 13.890625  Q 47.125 21.390625 47.125 36.375  Q 47.125 51.421875 43.28125 58.90625  Q 39.453125 66.40625 31.78125 66.40625  z M 31.78125 74.21875  Q 44.046875 74.21875 50.515625 64.515625  Q 56.984375 54.828125 56.984375 36.375  Q 56.984375 17.96875 50.515625 8.265625  Q 44.046875 -1.421875 31.78125 -1.421875  Q 19.53125 -1.421875 13.0625 8.265625  Q 6.59375 17.96875 6.59375 36.375  Q 6.59375 54.828125 13.0625 64.515625  Q 19.53125 74.21875 31.78125 74.21875  z \" id=\"DejaVuSans-30\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(98.347676 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"147.644628\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 20 -->\n",
       "      <defs>\n",
       "       <path d=\"M 19.1875 8.296875  L 53.609375 8.296875  L 53.609375 0  L 7.328125 0  L 7.328125 8.296875  Q 12.9375 14.109375 22.625 23.890625  Q 32.328125 33.6875 34.8125 36.53125  Q 39.546875 41.84375 41.421875 45.53125  Q 43.3125 49.21875 43.3125 52.78125  Q 43.3125 58.59375 39.234375 62.25  Q 35.15625 65.921875 28.609375 65.921875  Q 23.96875 65.921875 18.8125 64.3125  Q 13.671875 62.703125 7.8125 59.421875  L 7.8125 69.390625  Q 13.765625 71.78125 18.9375 73  Q 24.125 74.21875 28.421875 74.21875  Q 39.75 74.21875 46.484375 68.546875  Q 53.21875 62.890625 53.21875 53.421875  Q 53.21875 48.921875 51.53125 44.890625  Q 49.859375 40.875 45.40625 35.40625  Q 44.1875 33.984375 37.640625 27.21875  Q 31.109375 20.453125 19.1875 8.296875  z \" id=\"DejaVuSans-32\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(141.282128 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"193.760331\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 40 -->\n",
       "      <defs>\n",
       "       <path d=\"M 37.796875 64.3125  L 12.890625 25.390625  L 37.796875 25.390625  z M 35.203125 72.90625  L 47.609375 72.90625  L 47.609375 25.390625  L 58.015625 25.390625  L 58.015625 17.1875  L 47.609375 17.1875  L 47.609375 0  L 37.796875 0  L 37.796875 17.1875  L 4.890625 17.1875  L 4.890625 26.703125  z \" id=\"DejaVuSans-34\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(187.397831 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"239.876033\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 60 -->\n",
       "      <defs>\n",
       "       <path d=\"M 33.015625 40.375  Q 26.375 40.375 22.484375 35.828125  Q 18.609375 31.296875 18.609375 23.390625  Q 18.609375 15.53125 22.484375 10.953125  Q 26.375 6.390625 33.015625 6.390625  Q 39.65625 6.390625 43.53125 10.953125  Q 47.40625 15.53125 47.40625 23.390625  Q 47.40625 31.296875 43.53125 35.828125  Q 39.65625 40.375 33.015625 40.375  z M 52.59375 71.296875  L 52.59375 62.3125  Q 48.875 64.0625 45.09375 64.984375  Q 41.3125 65.921875 37.59375 65.921875  Q 27.828125 65.921875 22.671875 59.328125  Q 17.53125 52.734375 16.796875 39.40625  Q 19.671875 43.65625 24.015625 45.921875  Q 28.375 48.1875 33.59375 48.1875  Q 44.578125 48.1875 50.953125 41.515625  Q 57.328125 34.859375 57.328125 23.390625  Q 57.328125 12.15625 50.6875 5.359375  Q 44.046875 -1.421875 33.015625 -1.421875  Q 20.359375 -1.421875 13.671875 8.265625  Q 6.984375 17.96875 6.984375 36.375  Q 6.984375 53.65625 15.1875 63.9375  Q 23.390625 74.21875 37.203125 74.21875  Q 40.921875 74.21875 44.703125 73.484375  Q 48.484375 72.75 52.59375 71.296875  z \" id=\"DejaVuSans-36\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(233.513533 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"285.991736\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 80 -->\n",
       "      <defs>\n",
       "       <path d=\"M 31.78125 34.625  Q 24.75 34.625 20.71875 30.859375  Q 16.703125 27.09375 16.703125 20.515625  Q 16.703125 13.921875 20.71875 10.15625  Q 24.75 6.390625 31.78125 6.390625  Q 38.8125 6.390625 42.859375 10.171875  Q 46.921875 13.96875 46.921875 20.515625  Q 46.921875 27.09375 42.890625 30.859375  Q 38.875 34.625 31.78125 34.625  z M 21.921875 38.8125  Q 15.578125 40.375 12.03125 44.71875  Q 8.5 49.078125 8.5 55.328125  Q 8.5 64.0625 14.71875 69.140625  Q 20.953125 74.21875 31.78125 74.21875  Q 42.671875 74.21875 48.875 69.140625  Q 55.078125 64.0625 55.078125 55.328125  Q 55.078125 49.078125 51.53125 44.71875  Q 48 40.375 41.703125 38.8125  Q 48.828125 37.15625 52.796875 32.3125  Q 56.78125 27.484375 56.78125 20.515625  Q 56.78125 9.90625 50.3125 4.234375  Q 43.84375 -1.421875 31.78125 -1.421875  Q 19.734375 -1.421875 13.25 4.234375  Q 6.78125 9.90625 6.78125 20.515625  Q 6.78125 27.484375 10.78125 32.3125  Q 14.796875 37.15625 21.921875 38.8125  z M 18.3125 54.390625  Q 18.3125 48.734375 21.84375 45.5625  Q 25.390625 42.390625 31.78125 42.390625  Q 38.140625 42.390625 41.71875 45.5625  Q 45.3125 48.734375 45.3125 54.390625  Q 45.3125 60.0625 41.71875 63.234375  Q 38.140625 66.40625 31.78125 66.40625  Q 25.390625 66.40625 21.84375 63.234375  Q 18.3125 60.0625 18.3125 54.390625  z \" id=\"DejaVuSans-38\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(279.629236 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_6\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"332.107438\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_6\">\n",
       "      <!-- 100 -->\n",
       "      <defs>\n",
       "       <path d=\"M 12.40625 8.296875  L 28.515625 8.296875  L 28.515625 63.921875  L 10.984375 60.40625  L 10.984375 69.390625  L 28.421875 72.90625  L 38.28125 72.90625  L 38.28125 8.296875  L 54.390625 8.296875  L 54.390625 0  L 12.40625 0  z \" id=\"DejaVuSans-31\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(322.563688 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_7\">\n",
       "     <!-- Epoch -->\n",
       "     <defs>\n",
       "      <path d=\"M 9.8125 72.90625  L 55.90625 72.90625  L 55.90625 64.59375  L 19.671875 64.59375  L 19.671875 43.015625  L 54.390625 43.015625  L 54.390625 34.71875  L 19.671875 34.71875  L 19.671875 8.296875  L 56.78125 8.296875  L 56.78125 0  L 9.8125 0  z \" id=\"DejaVuSans-45\"/>\n",
       "      <path d=\"M 18.109375 8.203125  L 18.109375 -20.796875  L 9.078125 -20.796875  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  z M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z \" id=\"DejaVuSans-70\"/>\n",
       "      <path d=\"M 30.609375 48.390625  Q 23.390625 48.390625 19.1875 42.75  Q 14.984375 37.109375 14.984375 27.296875  Q 14.984375 17.484375 19.15625 11.84375  Q 23.34375 6.203125 30.609375 6.203125  Q 37.796875 6.203125 41.984375 11.859375  Q 46.1875 17.53125 46.1875 27.296875  Q 46.1875 37.015625 41.984375 42.703125  Q 37.796875 48.390625 30.609375 48.390625  z M 30.609375 56  Q 42.328125 56 49.015625 48.375  Q 55.71875 40.765625 55.71875 27.296875  Q 55.71875 13.875 49.015625 6.21875  Q 42.328125 -1.421875 30.609375 -1.421875  Q 18.84375 -1.421875 12.171875 6.21875  Q 5.515625 13.875 5.515625 27.296875  Q 5.515625 40.765625 12.171875 48.375  Q 18.84375 56 30.609375 56  z \" id=\"DejaVuSans-6f\"/>\n",
       "      <path d=\"M 48.78125 52.59375  L 48.78125 44.1875  Q 44.96875 46.296875 41.140625 47.34375  Q 37.3125 48.390625 33.40625 48.390625  Q 24.65625 48.390625 19.8125 42.84375  Q 14.984375 37.3125 14.984375 27.296875  Q 14.984375 17.28125 19.8125 11.734375  Q 24.65625 6.203125 33.40625 6.203125  Q 37.3125 6.203125 41.140625 7.25  Q 44.96875 8.296875 48.78125 10.40625  L 48.78125 2.09375  Q 45.015625 0.34375 40.984375 -0.53125  Q 36.96875 -1.421875 32.421875 -1.421875  Q 20.0625 -1.421875 12.78125 6.34375  Q 5.515625 14.109375 5.515625 27.296875  Q 5.515625 40.671875 12.859375 48.328125  Q 20.21875 56 33.015625 56  Q 37.15625 56 41.109375 55.140625  Q 45.0625 54.296875 48.78125 52.59375  z \" id=\"DejaVuSans-63\"/>\n",
       "      <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-68\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(201.507244 280.276563)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-45\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n",
       "      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mac3c6be351\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#mac3c6be351\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_8\">\n",
       "      <!-- 0.00 -->\n",
       "      <defs>\n",
       "       <path d=\"M 10.6875 12.40625  L 21 12.40625  L 21 0  L 10.6875 0  z \" id=\"DejaVuSans-2e\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(60.734375 255.799219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#mac3c6be351\" y=\"215.760254\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 0.05 -->\n",
       "      <defs>\n",
       "       <path d=\"M 10.796875 72.90625  L 49.515625 72.90625  L 49.515625 64.59375  L 19.828125 64.59375  L 19.828125 46.734375  Q 21.96875 47.46875 24.109375 47.828125  Q 26.265625 48.1875 28.421875 48.1875  Q 40.625 48.1875 47.75 41.5  Q 54.890625 34.8125 54.890625 23.390625  Q 54.890625 11.625 47.5625 5.09375  Q 40.234375 -1.421875 26.90625 -1.421875  Q 22.3125 -1.421875 17.546875 -0.640625  Q 12.796875 0.140625 7.71875 1.703125  L 7.71875 11.625  Q 12.109375 9.234375 16.796875 8.0625  Q 21.484375 6.890625 26.703125 6.890625  Q 35.15625 6.890625 40.078125 11.328125  Q 45.015625 15.765625 45.015625 23.390625  Q 45.015625 31 40.078125 35.4375  Q 35.15625 39.890625 26.703125 39.890625  Q 22.75 39.890625 18.8125 39.015625  Q 14.890625 38.140625 10.796875 36.28125  z \" id=\"DejaVuSans-35\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(60.734375 219.559473)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#mac3c6be351\" y=\"179.520508\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 0.10 -->\n",
       "      <g transform=\"translate(60.734375 183.319727)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#mac3c6be351\" y=\"143.280762\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 0.15 -->\n",
       "      <g transform=\"translate(60.734375 147.079981)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#mac3c6be351\" y=\"107.041016\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 0.20 -->\n",
       "      <g transform=\"translate(60.734375 110.840235)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_12\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#mac3c6be351\" y=\"70.801271\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_13\">\n",
       "      <!-- 0.25 -->\n",
       "      <g transform=\"translate(60.734375 74.600489)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_7\">\n",
       "     <g id=\"line2d_13\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#mac3c6be351\" y=\"34.561525\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_14\">\n",
       "      <!-- 0.30 -->\n",
       "      <defs>\n",
       "       <path d=\"M 40.578125 39.3125  Q 47.65625 37.796875 51.625 33  Q 55.609375 28.21875 55.609375 21.1875  Q 55.609375 10.40625 48.1875 4.484375  Q 40.765625 -1.421875 27.09375 -1.421875  Q 22.515625 -1.421875 17.65625 -0.515625  Q 12.796875 0.390625 7.625 2.203125  L 7.625 11.71875  Q 11.71875 9.328125 16.59375 8.109375  Q 21.484375 6.890625 26.8125 6.890625  Q 36.078125 6.890625 40.9375 10.546875  Q 45.796875 14.203125 45.796875 21.1875  Q 45.796875 27.640625 41.28125 31.265625  Q 36.765625 34.90625 28.71875 34.90625  L 20.21875 34.90625  L 20.21875 43.015625  L 29.109375 43.015625  Q 36.375 43.015625 40.234375 45.921875  Q 44.09375 48.828125 44.09375 54.296875  Q 44.09375 59.90625 40.109375 62.90625  Q 36.140625 65.921875 28.71875 65.921875  Q 24.65625 65.921875 20.015625 65.03125  Q 15.375 64.15625 9.8125 62.3125  L 9.8125 71.09375  Q 15.4375 72.65625 20.34375 73.4375  Q 25.25 74.21875 29.59375 74.21875  Q 40.828125 74.21875 47.359375 69.109375  Q 53.90625 64.015625 53.90625 55.328125  Q 53.90625 49.265625 50.4375 45.09375  Q 46.96875 40.921875 40.578125 39.3125  z \" id=\"DejaVuSans-33\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(60.734375 38.360743)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_14\">\n",
       "    <path clip-path=\"url(#p0dde2b30d7)\" d=\"M 101.528926 217.102514  L 103.834711 242.416207  L 106.140496 244.060192  L 108.446281 244.171403  L 110.752066 244.884684  L 113.057851 245.657815  L 115.363636 246.421398  L 117.669421 247.154936  L 119.975207 247.839328  L 122.280992 248.455555  L 124.586777 248.987822  L 126.892562 249.426412  L 129.198347 249.769775  L 131.504132 250.024675  L 133.809917 250.204319  L 136.115702 250.325072  L 138.421488 250.403124  L 140.727273 250.452171  L 143.033058 250.482506  L 145.338843 250.501191  L 147.644628 250.512778  L 149.950413 250.520063  L 152.256198 250.52473  L 154.561983 250.527785  L 156.867769 250.52983  L 159.173554 250.531233  L 161.479339 250.532223  L 163.785124 250.532946  L 166.090909 250.533495  L 168.396694 250.533933  L 170.702479 250.5343  L 173.008264 250.534625  L 175.31405 250.534926  L 177.619835 250.535215  L 179.92562 250.535499  L 182.231405 250.535785  L 184.53719 250.536075  L 186.842975 250.536371  L 189.14876 250.536673  L 191.454545 250.536982  L 193.760331 250.537299  L 196.066116 250.537622  L 198.371901 250.53795  L 200.677686 250.538285  L 202.983471 250.538622  L 205.289256 250.538964  L 207.595041 250.539308  L 209.900826 250.539654  L 212.206612 250.540003  L 214.512397 250.540351  L 216.818182 250.5407  L 219.123967 250.541049  L 221.429752 250.541397  L 223.735537 250.541744  L 226.041322 250.542089  L 228.347107 250.542432  L 230.652893 250.542773  L 232.958678 250.543111  L 235.264463 250.543446  L 237.570248 250.543779  L 239.876033 250.544107  L 242.181818 250.544432  L 244.487603 250.544754  L 246.793388 250.545072  L 249.099174 250.545385  L 251.404959 250.545695  L 253.710744 250.546  L 256.016529 250.546301  L 258.322314 250.546597  L 260.628099 250.546889  L 262.933884 250.547177  L 265.239669 250.547461  L 267.545455 250.54774  L 269.85124 250.548014  L 272.157025 250.548284  L 274.46281 250.548549  L 276.768595 250.54881  L 279.07438 250.549067  L 281.380165 250.549318  L 283.68595 250.549567  L 285.991736 250.549805  L 288.297521 250.550048  L 290.603306 250.550282  L 292.909091 250.550511  L 295.214876 250.550737  L 297.520661 250.550958  L 299.826446 250.551175  L 302.132231 250.551388  L 304.438017 250.551596  L 306.743802 250.551801  L 309.049587 250.552001  L 311.355372 250.552197  L 313.661157 250.552389  L 315.966942 250.552578  L 318.272727 250.552763  L 320.578512 250.552943  L 322.884298 250.55312  L 325.190083 250.553293  L 327.495868 250.553462  L 329.801653 250.553628  L 332.107438 250.55379  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_15\">\n",
       "    <path clip-path=\"url(#p0dde2b30d7)\" d=\"M 101.528926 44.845419  L 103.834711 186.499053  L 106.140496 200.533155  L 108.446281 206.92698  L 110.752066 212.712644  L 113.057851 218.352708  L 115.363636 223.703883  L 117.669421 228.597615  L 119.975207 232.893844  L 122.280992 236.496781  L 124.586777 239.370663  L 126.892562 241.544749  L 129.198347 243.104657  L 131.504132 244.170253  L 133.809917 244.868774  L 136.115702 245.313036  L 138.421488 245.590595  L 140.727273 245.762944  L 143.033058 245.870232  L 145.338843 245.937455  L 147.644628 245.979822  L 149.950413 246.006486  L 152.256198 246.023008  L 154.561983 246.032836  L 156.867769 246.038142  L 159.173554 246.04033  L 161.479339 246.040336  L 163.785124 246.038779  L 166.090909 246.036088  L 168.396694 246.032567  L 170.702479 246.028418  L 173.008264 246.023786  L 175.31405 246.018775  L 177.619835 246.013469  L 179.92562 246.007909  L 182.231405 246.002141  L 184.53719 245.996202  L 186.842975 245.990097  L 189.14876 245.983856  L 191.454545 245.977488  L 193.760331 245.970999  L 196.066116 245.964402  L 198.371901 245.957704  L 200.677686 245.950907  L 202.983471 245.944016  L 205.289256 245.937039  L 207.595041 245.929973  L 209.900826 245.922829  L 212.206612 245.915602  L 214.512397 245.908307  L 216.818182 245.900931  L 219.123967 245.893488  L 221.429752 245.885976  L 223.735537 245.878396  L 226.041322 245.870753  L 228.347107 245.863045  L 230.652893 245.855278  L 232.958678 245.84745  L 235.264463 245.839566  L 237.570248 245.83163  L 239.876033 245.823641  L 242.181818 245.815596  L 244.487603 245.807505  L 246.793388 245.799364  L 249.099174 245.791182  L 251.404959 245.782946  L 253.710744 245.774672  L 256.016529 245.766361  L 258.322314 245.758001  L 260.628099 245.749612  L 262.933884 245.741178  L 265.239669 245.732712  L 267.545455 245.724208  L 269.85124 245.71567  L 272.157025 245.707106  L 274.46281 245.698512  L 276.768595 245.689882  L 279.07438 245.681231  L 281.380165 245.672551  L 283.68595 245.663921  L 285.991736 245.655121  L 288.297521 245.646363  L 290.603306 245.637592  L 292.909091 245.628803  L 295.214876 245.61999  L 297.520661 245.611163  L 299.826446 245.602319  L 302.132231 245.593458  L 304.438017 245.584587  L 306.743802 245.5757  L 309.049587 245.566799  L 311.355372 245.55789  L 313.661157 245.54897  L 315.966942 245.540039  L 318.272727 245.531101  L 320.578512 245.522161  L 322.884298 245.513209  L 325.190083 245.504258  L 327.495868 245.495305  L 329.801653 245.486342  L 332.107438 245.47738  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 90 252  L 90 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 343.636364 252  L 343.636364 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 90 252  L 343.636364 252  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 90 34.56  L 343.636364 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_15\">\n",
       "    <!-- LSTM: Error -->\n",
       "    <defs>\n",
       "     <path d=\"M 9.8125 72.90625  L 19.671875 72.90625  L 19.671875 8.296875  L 55.171875 8.296875  L 55.171875 0  L 9.8125 0  z \" id=\"DejaVuSans-4c\"/>\n",
       "     <path d=\"M 53.515625 70.515625  L 53.515625 60.890625  Q 47.90625 63.578125 42.921875 64.890625  Q 37.9375 66.21875 33.296875 66.21875  Q 25.25 66.21875 20.875 63.09375  Q 16.5 59.96875 16.5 54.203125  Q 16.5 49.359375 19.40625 46.890625  Q 22.3125 44.4375 30.421875 42.921875  L 36.375 41.703125  Q 47.40625 39.59375 52.65625 34.296875  Q 57.90625 29 57.90625 20.125  Q 57.90625 9.515625 50.796875 4.046875  Q 43.703125 -1.421875 29.984375 -1.421875  Q 24.8125 -1.421875 18.96875 -0.25  Q 13.140625 0.921875 6.890625 3.21875  L 6.890625 13.375  Q 12.890625 10.015625 18.65625 8.296875  Q 24.421875 6.59375 29.984375 6.59375  Q 38.421875 6.59375 43.015625 9.90625  Q 47.609375 13.234375 47.609375 19.390625  Q 47.609375 24.75 44.3125 27.78125  Q 41.015625 30.8125 33.5 32.328125  L 27.484375 33.5  Q 16.453125 35.6875 11.515625 40.375  Q 6.59375 45.0625 6.59375 53.421875  Q 6.59375 63.09375 13.40625 68.65625  Q 20.21875 74.21875 32.171875 74.21875  Q 37.3125 74.21875 42.625 73.28125  Q 47.953125 72.359375 53.515625 70.515625  z \" id=\"DejaVuSans-53\"/>\n",
       "     <path d=\"M -0.296875 72.90625  L 61.375 72.90625  L 61.375 64.59375  L 35.5 64.59375  L 35.5 0  L 25.59375 0  L 25.59375 64.59375  L -0.296875 64.59375  z \" id=\"DejaVuSans-54\"/>\n",
       "     <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-4d\"/>\n",
       "     <path d=\"M 11.71875 12.40625  L 22.015625 12.40625  L 22.015625 0  L 11.71875 0  z M 11.71875 51.703125  L 22.015625 51.703125  L 22.015625 39.3125  L 11.71875 39.3125  z \" id=\"DejaVuSans-3a\"/>\n",
       "     <path id=\"DejaVuSans-20\"/>\n",
       "     <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-72\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(182.036932 28.56)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#DejaVuSans-4c\"/>\n",
       "     <use x=\"55.712891\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"119.189453\" xlink:href=\"#DejaVuSans-54\"/>\n",
       "     <use x=\"180.273438\" xlink:href=\"#DejaVuSans-4d\"/>\n",
       "     <use x=\"266.552734\" xlink:href=\"#DejaVuSans-3a\"/>\n",
       "     <use x=\"300.244141\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"332.03125\" xlink:href=\"#DejaVuSans-45\"/>\n",
       "     <use x=\"395.214844\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"436.3125\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"477.394531\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "     <use x=\"538.576172\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"legend_1\">\n",
       "    <g id=\"patch_7\">\n",
       "     <path d=\"M 236.030114 71.91625  L 336.636364 71.91625  Q 338.636364 71.91625 338.636364 69.91625  L 338.636364 41.56  Q 338.636364 39.56 336.636364 39.56  L 236.030114 39.56  Q 234.030114 39.56 234.030114 41.56  L 234.030114 69.91625  Q 234.030114 71.91625 236.030114 71.91625  z \" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_16\">\n",
       "     <path d=\"M 238.030114 47.658437  L 258.030114 47.658437  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_17\"/>\n",
       "    <g id=\"text_16\">\n",
       "     <!-- Training set -->\n",
       "     <defs>\n",
       "      <path d=\"M 34.28125 27.484375  Q 23.390625 27.484375 19.1875 25  Q 14.984375 22.515625 14.984375 16.5  Q 14.984375 11.71875 18.140625 8.90625  Q 21.296875 6.109375 26.703125 6.109375  Q 34.1875 6.109375 38.703125 11.40625  Q 43.21875 16.703125 43.21875 25.484375  L 43.21875 27.484375  z M 52.203125 31.203125  L 52.203125 0  L 43.21875 0  L 43.21875 8.296875  Q 40.140625 3.328125 35.546875 0.953125  Q 30.953125 -1.421875 24.3125 -1.421875  Q 15.921875 -1.421875 10.953125 3.296875  Q 6 8.015625 6 15.921875  Q 6 25.140625 12.171875 29.828125  Q 18.359375 34.515625 30.609375 34.515625  L 43.21875 34.515625  L 43.21875 35.40625  Q 43.21875 41.609375 39.140625 45  Q 35.0625 48.390625 27.6875 48.390625  Q 23 48.390625 18.546875 47.265625  Q 14.109375 46.140625 10.015625 43.890625  L 10.015625 52.203125  Q 14.9375 54.109375 19.578125 55.046875  Q 24.21875 56 28.609375 56  Q 40.484375 56 46.34375 49.84375  Q 52.203125 43.703125 52.203125 31.203125  z \" id=\"DejaVuSans-61\"/>\n",
       "      <path d=\"M 9.421875 54.6875  L 18.40625 54.6875  L 18.40625 0  L 9.421875 0  z M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 64.59375  L 9.421875 64.59375  z \" id=\"DejaVuSans-69\"/>\n",
       "      <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-6e\"/>\n",
       "      <path d=\"M 45.40625 27.984375  Q 45.40625 37.75 41.375 43.109375  Q 37.359375 48.484375 30.078125 48.484375  Q 22.859375 48.484375 18.828125 43.109375  Q 14.796875 37.75 14.796875 27.984375  Q 14.796875 18.265625 18.828125 12.890625  Q 22.859375 7.515625 30.078125 7.515625  Q 37.359375 7.515625 41.375 12.890625  Q 45.40625 18.265625 45.40625 27.984375  z M 54.390625 6.78125  Q 54.390625 -7.171875 48.1875 -13.984375  Q 42 -20.796875 29.203125 -20.796875  Q 24.46875 -20.796875 20.265625 -20.09375  Q 16.0625 -19.390625 12.109375 -17.921875  L 12.109375 -9.1875  Q 16.0625 -11.328125 19.921875 -12.34375  Q 23.78125 -13.375 27.78125 -13.375  Q 36.625 -13.375 41.015625 -8.765625  Q 45.40625 -4.15625 45.40625 5.171875  L 45.40625 9.625  Q 42.625 4.78125 38.28125 2.390625  Q 33.9375 0 27.875 0  Q 17.828125 0 11.671875 7.65625  Q 5.515625 15.328125 5.515625 27.984375  Q 5.515625 40.671875 11.671875 48.328125  Q 17.828125 56 27.875 56  Q 33.9375 56 38.28125 53.609375  Q 42.625 51.21875 45.40625 46.390625  L 45.40625 54.6875  L 54.390625 54.6875  z \" id=\"DejaVuSans-67\"/>\n",
       "      <path d=\"M 44.28125 53.078125  L 44.28125 44.578125  Q 40.484375 46.53125 36.375 47.5  Q 32.28125 48.484375 27.875 48.484375  Q 21.1875 48.484375 17.84375 46.4375  Q 14.5 44.390625 14.5 40.28125  Q 14.5 37.15625 16.890625 35.375  Q 19.28125 33.59375 26.515625 31.984375  L 29.59375 31.296875  Q 39.15625 29.25 43.1875 25.515625  Q 47.21875 21.78125 47.21875 15.09375  Q 47.21875 7.46875 41.1875 3.015625  Q 35.15625 -1.421875 24.609375 -1.421875  Q 20.21875 -1.421875 15.453125 -0.5625  Q 10.6875 0.296875 5.421875 2  L 5.421875 11.28125  Q 10.40625 8.6875 15.234375 7.390625  Q 20.0625 6.109375 24.8125 6.109375  Q 31.15625 6.109375 34.5625 8.28125  Q 37.984375 10.453125 37.984375 14.40625  Q 37.984375 18.0625 35.515625 20.015625  Q 33.0625 21.96875 24.703125 23.78125  L 21.578125 24.515625  Q 13.234375 26.265625 9.515625 29.90625  Q 5.8125 33.546875 5.8125 39.890625  Q 5.8125 47.609375 11.28125 51.796875  Q 16.75 56 26.8125 56  Q 31.78125 56 36.171875 55.265625  Q 40.578125 54.546875 44.28125 53.078125  z \" id=\"DejaVuSans-73\"/>\n",
       "      <path d=\"M 56.203125 29.59375  L 56.203125 25.203125  L 14.890625 25.203125  Q 15.484375 15.921875 20.484375 11.0625  Q 25.484375 6.203125 34.421875 6.203125  Q 39.59375 6.203125 44.453125 7.46875  Q 49.3125 8.734375 54.109375 11.28125  L 54.109375 2.78125  Q 49.265625 0.734375 44.1875 -0.34375  Q 39.109375 -1.421875 33.890625 -1.421875  Q 20.796875 -1.421875 13.15625 6.1875  Q 5.515625 13.8125 5.515625 26.8125  Q 5.515625 40.234375 12.765625 48.109375  Q 20.015625 56 32.328125 56  Q 43.359375 56 49.78125 48.890625  Q 56.203125 41.796875 56.203125 29.59375  z M 47.21875 32.234375  Q 47.125 39.59375 43.09375 43.984375  Q 39.0625 48.390625 32.421875 48.390625  Q 24.90625 48.390625 20.390625 44.140625  Q 15.875 39.890625 15.1875 32.171875  z \" id=\"DejaVuSans-65\"/>\n",
       "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-74\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(266.030114 51.158437)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      <use x=\"60.865234\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "      <use x=\"101.978516\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"163.257812\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"191.041016\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"254.419922\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"282.203125\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"345.582031\" xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"409.058594\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"440.845703\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"492.945312\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"554.46875\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"line2d_18\">\n",
       "     <path d=\"M 238.030114 62.336562  L 258.030114 62.336562  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_19\"/>\n",
       "    <g id=\"text_17\">\n",
       "     <!-- Validation set -->\n",
       "     <defs>\n",
       "      <path d=\"M 28.609375 0  L 0.78125 72.90625  L 11.078125 72.90625  L 34.1875 11.53125  L 57.328125 72.90625  L 67.578125 72.90625  L 39.796875 0  z \" id=\"DejaVuSans-56\"/>\n",
       "      <path d=\"M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 0  L 9.421875 0  z \" id=\"DejaVuSans-6c\"/>\n",
       "      <path d=\"M 45.40625 46.390625  L 45.40625 75.984375  L 54.390625 75.984375  L 54.390625 0  L 45.40625 0  L 45.40625 8.203125  Q 42.578125 3.328125 38.25 0.953125  Q 33.9375 -1.421875 27.875 -1.421875  Q 17.96875 -1.421875 11.734375 6.484375  Q 5.515625 14.40625 5.515625 27.296875  Q 5.515625 40.1875 11.734375 48.09375  Q 17.96875 56 27.875 56  Q 33.9375 56 38.25 53.625  Q 42.578125 51.265625 45.40625 46.390625  z M 14.796875 27.296875  Q 14.796875 17.390625 18.875 11.75  Q 22.953125 6.109375 30.078125 6.109375  Q 37.203125 6.109375 41.296875 11.75  Q 45.40625 17.390625 45.40625 27.296875  Q 45.40625 37.203125 41.296875 42.84375  Q 37.203125 48.484375 30.078125 48.484375  Q 22.953125 48.484375 18.875 42.84375  Q 14.796875 37.203125 14.796875 27.296875  z \" id=\"DejaVuSans-64\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(266.030114 65.836562)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      <use x=\"68.298828\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"129.578125\" xlink:href=\"#DejaVuSans-6c\"/>\n",
       "      <use x=\"157.361328\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"185.144531\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "      <use x=\"248.621094\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"309.900391\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "      <use x=\"349.109375\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"376.892578\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"438.074219\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"501.453125\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"533.240234\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"585.339844\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"646.863281\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_2\">\n",
       "   <g id=\"patch_8\">\n",
       "    <path d=\"M 394.363636 252  L 648 252  L 648 34.56  L 394.363636 34.56  z \" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_3\">\n",
       "    <g id=\"xtick_7\">\n",
       "     <g id=\"line2d_20\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"405.892562\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_18\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(402.711312 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_8\">\n",
       "     <g id=\"line2d_21\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"452.008264\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_19\">\n",
       "      <!-- 20 -->\n",
       "      <g transform=\"translate(445.645764 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_9\">\n",
       "     <g id=\"line2d_22\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"498.123967\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_20\">\n",
       "      <!-- 40 -->\n",
       "      <g transform=\"translate(491.761467 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_10\">\n",
       "     <g id=\"line2d_23\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"544.239669\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_21\">\n",
       "      <!-- 60 -->\n",
       "      <g transform=\"translate(537.877169 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_11\">\n",
       "     <g id=\"line2d_24\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"590.355372\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_22\">\n",
       "      <!-- 80 -->\n",
       "      <g transform=\"translate(583.992872 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_12\">\n",
       "     <g id=\"line2d_25\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"636.471074\" xlink:href=\"#mb235f96f8b\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_23\">\n",
       "      <!-- 100 -->\n",
       "      <g transform=\"translate(626.927324 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_24\">\n",
       "     <!-- Epoch -->\n",
       "     <g transform=\"translate(505.870881 280.276563)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-45\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n",
       "      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_4\">\n",
       "    <g id=\"ytick_8\">\n",
       "     <g id=\"line2d_26\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#mac3c6be351\" y=\"233.88\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_25\">\n",
       "      <!-- 0.0 -->\n",
       "      <g transform=\"translate(371.460511 237.679219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_9\">\n",
       "     <g id=\"line2d_27\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#mac3c6be351\" y=\"197.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_26\">\n",
       "      <!-- 0.2 -->\n",
       "      <g transform=\"translate(371.460511 201.439219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_10\">\n",
       "     <g id=\"line2d_28\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#mac3c6be351\" y=\"161.4\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_27\">\n",
       "      <!-- 0.4 -->\n",
       "      <g transform=\"translate(371.460511 165.199219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_11\">\n",
       "     <g id=\"line2d_29\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#mac3c6be351\" y=\"125.16\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_28\">\n",
       "      <!-- 0.6 -->\n",
       "      <g transform=\"translate(371.460511 128.959219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_12\">\n",
       "     <g id=\"line2d_30\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#mac3c6be351\" y=\"88.92\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_29\">\n",
       "      <!-- 0.8 -->\n",
       "      <g transform=\"translate(371.460511 92.719219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_13\">\n",
       "     <g id=\"line2d_31\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#mac3c6be351\" y=\"52.68\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_30\">\n",
       "      <!-- 1.0 -->\n",
       "      <g transform=\"translate(371.460511 56.479219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_32\">\n",
       "    <path clip-path=\"url(#p3ef3475504)\" d=\"M 405.892562 184.805  L 408.198347 121.345263  L 410.504132 119.437895  L 412.809917 123.252632  L 415.115702 111.808421  L 417.421488 104.178947  L 419.727273 98.456842  L 422.033058 98.456842  L 424.338843 88.92  L 426.644628 85.105263  L 428.950413 77.475789  L 431.256198 66.031579  L 433.561983 64.124211  L 435.867769 60.309474  L 438.173554 60.309474  L 440.479339 58.402105  L 442.785124 56.494737  L 445.090909 56.494737  L 447.396694 56.494737  L 449.702479 56.494737  L 452.008264 56.494737  L 454.31405 56.494737  L 456.619835 56.494737  L 458.92562 56.494737  L 461.231405 56.494737  L 463.53719 56.494737  L 465.842975 56.494737  L 468.14876 56.494737  L 470.454545 56.494737  L 472.760331 56.494737  L 475.066116 56.494737  L 477.371901 56.494737  L 479.677686 56.494737  L 481.983471 56.494737  L 484.289256 56.494737  L 486.595041 56.494737  L 488.900826 56.494737  L 491.206612 56.494737  L 493.512397 56.494737  L 495.818182 56.494737  L 498.123967 56.494737  L 500.429752 56.494737  L 502.735537 56.494737  L 505.041322 56.494737  L 507.347107 56.494737  L 509.652893 56.494737  L 511.958678 56.494737  L 514.264463 56.494737  L 516.570248 56.494737  L 518.876033 56.494737  L 521.181818 56.494737  L 523.487603 56.494737  L 525.793388 56.494737  L 528.099174 56.494737  L 530.404959 56.494737  L 532.710744 56.494737  L 535.016529 56.494737  L 537.322314 56.494737  L 539.628099 56.494737  L 541.933884 56.494737  L 544.239669 56.494737  L 546.545455 56.494737  L 548.85124 56.494737  L 551.157025 56.494737  L 553.46281 56.494737  L 555.768595 56.494737  L 558.07438 56.494737  L 560.380165 56.494737  L 562.68595 56.494737  L 564.991736 56.494737  L 567.297521 56.494737  L 569.603306 56.494737  L 571.909091 56.494737  L 574.214876 56.494737  L 576.520661 56.494737  L 578.826446 56.494737  L 581.132231 56.494737  L 583.438017 56.494737  L 585.743802 56.494737  L 588.049587 56.494737  L 590.355372 56.494737  L 592.661157 56.494737  L 594.966942 56.494737  L 597.272727 56.494737  L 599.578512 56.494737  L 601.884298 56.494737  L 604.190083 56.494737  L 606.495868 56.494737  L 608.801653 56.494737  L 611.107438 56.494737  L 613.413223 56.494737  L 615.719008 56.494737  L 618.024793 56.494737  L 620.330579 56.494737  L 622.636364 56.494737  L 624.942149 56.494737  L 627.247934 56.494737  L 629.553719 56.494737  L 631.859504 56.494737  L 634.165289 56.494737  L 636.471074 56.494737  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_33\">\n",
       "    <path clip-path=\"url(#p3ef3475504)\" d=\"M 405.892562 233.88  L 408.198347 222.314043  L 410.504132 218.458723  L 412.809917 210.748085  L 415.115702 210.748085  L 417.421488 191.471489  L 419.727273 179.905532  L 422.033058 164.484255  L 424.338843 145.20766  L 426.644628 133.641702  L 428.950413 133.641702  L 431.256198 129.786383  L 433.561983 122.075745  L 435.867769 110.509787  L 438.173554 114.365106  L 440.479339 106.654468  L 442.785124 106.654468  L 445.090909 102.799149  L 447.396694 106.654468  L 449.702479 106.654468  L 452.008264 102.799149  L 454.31405 102.799149  L 456.619835 102.799149  L 458.92562 98.94383  L 461.231405 98.94383  L 463.53719 98.94383  L 465.842975 98.94383  L 468.14876 98.94383  L 470.454545 98.94383  L 472.760331 102.799149  L 475.066116 102.799149  L 477.371901 102.799149  L 479.677686 102.799149  L 481.983471 102.799149  L 484.289256 102.799149  L 486.595041 102.799149  L 488.900826 102.799149  L 491.206612 102.799149  L 493.512397 102.799149  L 495.818182 102.799149  L 498.123967 102.799149  L 500.429752 102.799149  L 502.735537 102.799149  L 505.041322 102.799149  L 507.347107 102.799149  L 509.652893 106.654468  L 511.958678 106.654468  L 514.264463 106.654468  L 516.570248 106.654468  L 518.876033 106.654468  L 521.181818 110.509787  L 523.487603 110.509787  L 525.793388 110.509787  L 528.099174 110.509787  L 530.404959 110.509787  L 532.710744 110.509787  L 535.016529 110.509787  L 537.322314 106.654468  L 539.628099 106.654468  L 541.933884 106.654468  L 544.239669 106.654468  L 546.545455 106.654468  L 548.85124 106.654468  L 551.157025 106.654468  L 553.46281 106.654468  L 555.768595 106.654468  L 558.07438 106.654468  L 560.380165 106.654468  L 562.68595 106.654468  L 564.991736 106.654468  L 567.297521 106.654468  L 569.603306 106.654468  L 571.909091 106.654468  L 574.214876 106.654468  L 576.520661 106.654468  L 578.826446 106.654468  L 581.132231 106.654468  L 583.438017 106.654468  L 585.743802 106.654468  L 588.049587 106.654468  L 590.355372 106.654468  L 592.661157 106.654468  L 594.966942 106.654468  L 597.272727 106.654468  L 599.578512 106.654468  L 601.884298 106.654468  L 604.190083 106.654468  L 606.495868 106.654468  L 608.801653 102.799149  L 611.107438 102.799149  L 613.413223 102.799149  L 615.719008 102.799149  L 618.024793 102.799149  L 620.330579 102.799149  L 622.636364 102.799149  L 624.942149 102.799149  L 627.247934 102.799149  L 629.553719 102.799149  L 631.859504 102.799149  L 634.165289 102.799149  L 636.471074 102.799149  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_9\">\n",
       "    <path d=\"M 394.363636 252  L 394.363636 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_10\">\n",
       "    <path d=\"M 648 252  L 648 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_11\">\n",
       "    <path d=\"M 394.363636 252  L 648 252  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_12\">\n",
       "    <path d=\"M 394.363636 34.56  L 648 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_31\">\n",
       "    <!-- LSTM: Accuracy -->\n",
       "    <defs>\n",
       "     <path d=\"M 34.1875 63.1875  L 20.796875 26.90625  L 47.609375 26.90625  z M 28.609375 72.90625  L 39.796875 72.90625  L 67.578125 0  L 57.328125 0  L 50.6875 18.703125  L 17.828125 18.703125  L 11.1875 0  L 0.78125 0  z \" id=\"DejaVuSans-41\"/>\n",
       "     <path d=\"M 8.5 21.578125  L 8.5 54.6875  L 17.484375 54.6875  L 17.484375 21.921875  Q 17.484375 14.15625 20.5 10.265625  Q 23.53125 6.390625 29.59375 6.390625  Q 36.859375 6.390625 41.078125 11.03125  Q 45.3125 15.671875 45.3125 23.6875  L 45.3125 54.6875  L 54.296875 54.6875  L 54.296875 0  L 45.3125 0  L 45.3125 8.40625  Q 42.046875 3.421875 37.71875 1  Q 33.40625 -1.421875 27.6875 -1.421875  Q 18.265625 -1.421875 13.375 4.4375  Q 8.5 10.296875 8.5 21.578125  z M 31.109375 56  z \" id=\"DejaVuSans-75\"/>\n",
       "     <path d=\"M 32.171875 -5.078125  Q 28.375 -14.84375 24.75 -17.8125  Q 21.140625 -20.796875 15.09375 -20.796875  L 7.90625 -20.796875  L 7.90625 -13.28125  L 13.1875 -13.28125  Q 16.890625 -13.28125 18.9375 -11.515625  Q 21 -9.765625 23.484375 -3.21875  L 25.09375 0.875  L 2.984375 54.6875  L 12.5 54.6875  L 29.59375 11.921875  L 46.6875 54.6875  L 56.203125 54.6875  z \" id=\"DejaVuSans-79\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(473.762131 28.56)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#DejaVuSans-4c\"/>\n",
       "     <use x=\"55.712891\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"119.189453\" xlink:href=\"#DejaVuSans-54\"/>\n",
       "     <use x=\"180.273438\" xlink:href=\"#DejaVuSans-4d\"/>\n",
       "     <use x=\"266.552734\" xlink:href=\"#DejaVuSans-3a\"/>\n",
       "     <use x=\"300.244141\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"332.03125\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     <use x=\"400.423828\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"455.404297\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"510.384766\" xlink:href=\"#DejaVuSans-75\"/>\n",
       "     <use x=\"573.763672\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"614.876953\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "     <use x=\"676.15625\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"731.136719\" xlink:href=\"#DejaVuSans-79\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"legend_2\">\n",
       "    <g id=\"patch_13\">\n",
       "     <path d=\"M 540.39375 247  L 641 247  Q 643 247 643 245  L 643 216.64375  Q 643 214.64375 641 214.64375  L 540.39375 214.64375  Q 538.39375 214.64375 538.39375 216.64375  L 538.39375 245  Q 538.39375 247 540.39375 247  z \" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_34\">\n",
       "     <path d=\"M 542.39375 222.742188  L 562.39375 222.742188  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_35\"/>\n",
       "    <g id=\"text_32\">\n",
       "     <!-- Training set -->\n",
       "     <g transform=\"translate(570.39375 226.242188)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      <use x=\"60.865234\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "      <use x=\"101.978516\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"163.257812\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"191.041016\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"254.419922\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"282.203125\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"345.582031\" xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"409.058594\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"440.845703\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"492.945312\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"554.46875\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"line2d_36\">\n",
       "     <path d=\"M 542.39375 237.420312  L 562.39375 237.420312  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_37\"/>\n",
       "    <g id=\"text_33\">\n",
       "     <!-- Validation set -->\n",
       "     <g transform=\"translate(570.39375 240.920312)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      <use x=\"68.298828\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"129.578125\" xlink:href=\"#DejaVuSans-6c\"/>\n",
       "      <use x=\"157.361328\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"185.144531\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "      <use x=\"248.621094\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"309.900391\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "      <use x=\"349.109375\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"376.892578\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"438.074219\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"501.453125\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"533.240234\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"585.339844\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"646.863281\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p0dde2b30d7\">\n",
       "   <rect height=\"217.44\" width=\"253.636364\" x=\"90\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p3ef3475504\">\n",
       "   <rect height=\"217.44\" width=\"253.636364\" x=\"394.363636\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================================\n",
      "       |  Training |  Training |  Validate |  Validate \n",
      "Epochs |     Error |  Accuracy |     Error |  Accuracy \n",
      "------ | --------- | --------- | --------- | --------- \n",
      "#  100 |   0.00200 |   0.97895 |   0.00900 |   0.72340 \n",
      "Saving network... Saved!\n"
     ]
    }
   ],
   "source": [
    "if net.saved():\n",
    "    net.load()\n",
    "    net.plot_results()\n",
    "else:\n",
    "    net.train(100, batch_size=batch_size, shuffle=False, save=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9237befa90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outputs = [net.propagate(i) for i in net.dataset.inputs]\n",
    "plot([[\"Network output\", outputs], [\"Training data\", net.dataset.targets]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE**: Even though the above plot of the Network output appears to closely track the Training data, don't be fooled! As can be seen in the accuracy plot after training, the trained network has about 70% accuracy. Why does it look so good in the plot? Take a moment to consider how it can look so good, and yet be so bad."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LSTM with Window"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_steps = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = create_dataset(sequence, time_steps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[0.015444015444015444], [0.02702702702702703], [0.05405405405405406]], [0.04826254826254826]]\n",
      "[[[0.02702702702702703], [0.05405405405405406], [0.04826254826254826]], [0.032818532818532815]]\n"
     ]
    }
   ],
   "source": [
    "print(dataset[0])\n",
    "print(dataset[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "net2 = cx.Network(\"LSTM with Window\")\n",
    "net2.add(cx.Layer(\"input\", features, batch_shape=(batch_size, time_steps, features)))\n",
    "net2.add(cx.LSTMLayer(\"lstm\", 4)) \n",
    "net2.add(cx.Layer(\"output\", 1))\n",
    "net2.connect()\n",
    "net2.compile(error=\"mse\", optimizer=\"adam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "net2.dataset.load(dataset)\n",
    "net2.dataset.split(.33)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e703af507b47477fad3a2e193bfe9c58",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>Dashboard</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "Dashboard(children=(Accordion(children=(HBox(children=(VBox(children=(Select(description='Dataset:', index=1, options=('Test', 'Train'), rows=1, value='Train'), FloatSlider(value=0.5, continuous_update=False, description='Zoom', layout=Layout(width='65%'), max=1.0, style=SliderStyle(description_width='initial')), IntText(value=150, description='Horizontal space between banks:', style=DescriptionStyle(description_width='initial')), IntText(value=30, description='Vertical space between layers:', style=DescriptionStyle(description_width='initial')), HBox(children=(Checkbox(value=False, description='Show Targets', style=DescriptionStyle(description_width='initial')), Checkbox(value=False, description='Errors', style=DescriptionStyle(description_width='initial')))), Select(description='Features:', options=('',), rows=1, value=''), IntText(value=3, description='Feature columns:', style=DescriptionStyle(description_width='initial')), FloatText(value=1.0, description='Feature scale:', style=DescriptionStyle(description_width='initial'))), layout=Layout(width='100%')), VBox(children=(Select(description='Layer:', index=2, options=('input', 'lstm', 'output'), rows=1, value='output'), Checkbox(value=True, description='Visible'), Select(description='Colormap:', options=('', 'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Vega10', 'Vega10_r', 'Vega20', 'Vega20_r', 'Vega20b', 'Vega20b_r', 'Vega20c', 'Vega20c_r', 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno', 'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r', 'seismic', 'seismic_r', 'spectral', 'spectral_r', 'spring', 'spring_r', 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'viridis', 'viridis_r', 'winter', 'winter_r'), rows=1, value=''), HTML(value='<img src=\"data:image/gif;base64,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\"/>'), FloatText(value=-2.0, description='Leftmost color maps to:', style=DescriptionStyle(description_width='initial')), FloatText(value=2.0, description='Rightmost color maps to:', style=DescriptionStyle(description_width='initial')), IntText(value=0, description='Feature to show:', style=DescriptionStyle(description_width='initial')), HBox(children=(Checkbox(value=False, description='Rotate network', layout=Layout(width='52%'), style=DescriptionStyle(description_width='initial')), Button(icon='save', layout=Layout(width='10%'), style=ButtonStyle())))), layout=Layout(width='100%')))),), selected_index=None, _titles={'0': 'LSTM with Window'}), VBox(children=(HBox(children=(IntSlider(value=0, continuous_update=False, description='Dataset index', layout=Layout(width='100%'), max=93), Label(value='of 94', layout=Layout(width='100px'))), layout=Layout(height='40px')), HBox(children=(Button(icon='fast-backward', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='backward', layout=Layout(width='100%'), style=ButtonStyle()), IntText(value=0, layout=Layout(width='100%')), Button(icon='forward', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='fast-forward', layout=Layout(width='100%'), style=ButtonStyle()), Button(description='Play', icon='play', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='refresh', layout=Layout(width='25%'), style=ButtonStyle())), layout=Layout(height='50px', width='100%'))), layout=Layout(width='100%')), HTML(value='<p style=\"text-align:center\"></p>', layout=Layout(justify_content='center', overflow_x='auto', overflow_y='auto', width='95%')), Output()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dash2 = net2.dashboard()\n",
    "dash2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-0.07787566632032394]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dash2.propagate([[0.1], [0.2], [0.8]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd6f025b0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outputs = [net2.propagate(i) for i in net2.dataset.inputs]\n",
    "cx.plot([[\"Network output\", outputs], [\"Training data\", net2.dataset.targets]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 720 288\" width=\"720pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <defs>\n",
       "  <style type=\"text/css\">\n",
       "*{stroke-linecap:butt;stroke-linejoin:round;}\n",
       "  </style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288  L 720 288  L 720 0  L 0 0  z \" style=\"fill:#ffffff;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 90 252  L 343.636364 252  L 343.636364 34.56  L 90 34.56  z \" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m1abb0c5cb2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"101.528926\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 0 -->\n",
       "      <defs>\n",
       "       <path d=\"M 31.78125 66.40625  Q 24.171875 66.40625 20.328125 58.90625  Q 16.5 51.421875 16.5 36.375  Q 16.5 21.390625 20.328125 13.890625  Q 24.171875 6.390625 31.78125 6.390625  Q 39.453125 6.390625 43.28125 13.890625  Q 47.125 21.390625 47.125 36.375  Q 47.125 51.421875 43.28125 58.90625  Q 39.453125 66.40625 31.78125 66.40625  z M 31.78125 74.21875  Q 44.046875 74.21875 50.515625 64.515625  Q 56.984375 54.828125 56.984375 36.375  Q 56.984375 17.96875 50.515625 8.265625  Q 44.046875 -1.421875 31.78125 -1.421875  Q 19.53125 -1.421875 13.0625 8.265625  Q 6.59375 17.96875 6.59375 36.375  Q 6.59375 54.828125 13.0625 64.515625  Q 19.53125 74.21875 31.78125 74.21875  z \" id=\"DejaVuSans-30\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(98.347676 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"147.644628\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 20 -->\n",
       "      <defs>\n",
       "       <path d=\"M 19.1875 8.296875  L 53.609375 8.296875  L 53.609375 0  L 7.328125 0  L 7.328125 8.296875  Q 12.9375 14.109375 22.625 23.890625  Q 32.328125 33.6875 34.8125 36.53125  Q 39.546875 41.84375 41.421875 45.53125  Q 43.3125 49.21875 43.3125 52.78125  Q 43.3125 58.59375 39.234375 62.25  Q 35.15625 65.921875 28.609375 65.921875  Q 23.96875 65.921875 18.8125 64.3125  Q 13.671875 62.703125 7.8125 59.421875  L 7.8125 69.390625  Q 13.765625 71.78125 18.9375 73  Q 24.125 74.21875 28.421875 74.21875  Q 39.75 74.21875 46.484375 68.546875  Q 53.21875 62.890625 53.21875 53.421875  Q 53.21875 48.921875 51.53125 44.890625  Q 49.859375 40.875 45.40625 35.40625  Q 44.1875 33.984375 37.640625 27.21875  Q 31.109375 20.453125 19.1875 8.296875  z \" id=\"DejaVuSans-32\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(141.282128 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"193.760331\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 40 -->\n",
       "      <defs>\n",
       "       <path d=\"M 37.796875 64.3125  L 12.890625 25.390625  L 37.796875 25.390625  z M 35.203125 72.90625  L 47.609375 72.90625  L 47.609375 25.390625  L 58.015625 25.390625  L 58.015625 17.1875  L 47.609375 17.1875  L 47.609375 0  L 37.796875 0  L 37.796875 17.1875  L 4.890625 17.1875  L 4.890625 26.703125  z \" id=\"DejaVuSans-34\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(187.397831 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"239.876033\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 60 -->\n",
       "      <defs>\n",
       "       <path d=\"M 33.015625 40.375  Q 26.375 40.375 22.484375 35.828125  Q 18.609375 31.296875 18.609375 23.390625  Q 18.609375 15.53125 22.484375 10.953125  Q 26.375 6.390625 33.015625 6.390625  Q 39.65625 6.390625 43.53125 10.953125  Q 47.40625 15.53125 47.40625 23.390625  Q 47.40625 31.296875 43.53125 35.828125  Q 39.65625 40.375 33.015625 40.375  z M 52.59375 71.296875  L 52.59375 62.3125  Q 48.875 64.0625 45.09375 64.984375  Q 41.3125 65.921875 37.59375 65.921875  Q 27.828125 65.921875 22.671875 59.328125  Q 17.53125 52.734375 16.796875 39.40625  Q 19.671875 43.65625 24.015625 45.921875  Q 28.375 48.1875 33.59375 48.1875  Q 44.578125 48.1875 50.953125 41.515625  Q 57.328125 34.859375 57.328125 23.390625  Q 57.328125 12.15625 50.6875 5.359375  Q 44.046875 -1.421875 33.015625 -1.421875  Q 20.359375 -1.421875 13.671875 8.265625  Q 6.984375 17.96875 6.984375 36.375  Q 6.984375 53.65625 15.1875 63.9375  Q 23.390625 74.21875 37.203125 74.21875  Q 40.921875 74.21875 44.703125 73.484375  Q 48.484375 72.75 52.59375 71.296875  z \" id=\"DejaVuSans-36\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(233.513533 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"285.991736\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 80 -->\n",
       "      <defs>\n",
       "       <path d=\"M 31.78125 34.625  Q 24.75 34.625 20.71875 30.859375  Q 16.703125 27.09375 16.703125 20.515625  Q 16.703125 13.921875 20.71875 10.15625  Q 24.75 6.390625 31.78125 6.390625  Q 38.8125 6.390625 42.859375 10.171875  Q 46.921875 13.96875 46.921875 20.515625  Q 46.921875 27.09375 42.890625 30.859375  Q 38.875 34.625 31.78125 34.625  z M 21.921875 38.8125  Q 15.578125 40.375 12.03125 44.71875  Q 8.5 49.078125 8.5 55.328125  Q 8.5 64.0625 14.71875 69.140625  Q 20.953125 74.21875 31.78125 74.21875  Q 42.671875 74.21875 48.875 69.140625  Q 55.078125 64.0625 55.078125 55.328125  Q 55.078125 49.078125 51.53125 44.71875  Q 48 40.375 41.703125 38.8125  Q 48.828125 37.15625 52.796875 32.3125  Q 56.78125 27.484375 56.78125 20.515625  Q 56.78125 9.90625 50.3125 4.234375  Q 43.84375 -1.421875 31.78125 -1.421875  Q 19.734375 -1.421875 13.25 4.234375  Q 6.78125 9.90625 6.78125 20.515625  Q 6.78125 27.484375 10.78125 32.3125  Q 14.796875 37.15625 21.921875 38.8125  z M 18.3125 54.390625  Q 18.3125 48.734375 21.84375 45.5625  Q 25.390625 42.390625 31.78125 42.390625  Q 38.140625 42.390625 41.71875 45.5625  Q 45.3125 48.734375 45.3125 54.390625  Q 45.3125 60.0625 41.71875 63.234375  Q 38.140625 66.40625 31.78125 66.40625  Q 25.390625 66.40625 21.84375 63.234375  Q 18.3125 60.0625 18.3125 54.390625  z \" id=\"DejaVuSans-38\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(279.629236 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_6\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"332.107438\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_6\">\n",
       "      <!-- 100 -->\n",
       "      <defs>\n",
       "       <path d=\"M 12.40625 8.296875  L 28.515625 8.296875  L 28.515625 63.921875  L 10.984375 60.40625  L 10.984375 69.390625  L 28.421875 72.90625  L 38.28125 72.90625  L 38.28125 8.296875  L 54.390625 8.296875  L 54.390625 0  L 12.40625 0  z \" id=\"DejaVuSans-31\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(322.563688 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_7\">\n",
       "     <!-- Epoch -->\n",
       "     <defs>\n",
       "      <path d=\"M 9.8125 72.90625  L 55.90625 72.90625  L 55.90625 64.59375  L 19.671875 64.59375  L 19.671875 43.015625  L 54.390625 43.015625  L 54.390625 34.71875  L 19.671875 34.71875  L 19.671875 8.296875  L 56.78125 8.296875  L 56.78125 0  L 9.8125 0  z \" id=\"DejaVuSans-45\"/>\n",
       "      <path d=\"M 18.109375 8.203125  L 18.109375 -20.796875  L 9.078125 -20.796875  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  z M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z \" id=\"DejaVuSans-70\"/>\n",
       "      <path d=\"M 30.609375 48.390625  Q 23.390625 48.390625 19.1875 42.75  Q 14.984375 37.109375 14.984375 27.296875  Q 14.984375 17.484375 19.15625 11.84375  Q 23.34375 6.203125 30.609375 6.203125  Q 37.796875 6.203125 41.984375 11.859375  Q 46.1875 17.53125 46.1875 27.296875  Q 46.1875 37.015625 41.984375 42.703125  Q 37.796875 48.390625 30.609375 48.390625  z M 30.609375 56  Q 42.328125 56 49.015625 48.375  Q 55.71875 40.765625 55.71875 27.296875  Q 55.71875 13.875 49.015625 6.21875  Q 42.328125 -1.421875 30.609375 -1.421875  Q 18.84375 -1.421875 12.171875 6.21875  Q 5.515625 13.875 5.515625 27.296875  Q 5.515625 40.765625 12.171875 48.375  Q 18.84375 56 30.609375 56  z \" id=\"DejaVuSans-6f\"/>\n",
       "      <path d=\"M 48.78125 52.59375  L 48.78125 44.1875  Q 44.96875 46.296875 41.140625 47.34375  Q 37.3125 48.390625 33.40625 48.390625  Q 24.65625 48.390625 19.8125 42.84375  Q 14.984375 37.3125 14.984375 27.296875  Q 14.984375 17.28125 19.8125 11.734375  Q 24.65625 6.203125 33.40625 6.203125  Q 37.3125 6.203125 41.140625 7.25  Q 44.96875 8.296875 48.78125 10.40625  L 48.78125 2.09375  Q 45.015625 0.34375 40.984375 -0.53125  Q 36.96875 -1.421875 32.421875 -1.421875  Q 20.0625 -1.421875 12.78125 6.34375  Q 5.515625 14.109375 5.515625 27.296875  Q 5.515625 40.671875 12.859375 48.328125  Q 20.21875 56 33.015625 56  Q 37.15625 56 41.109375 55.140625  Q 45.0625 54.296875 48.78125 52.59375  z \" id=\"DejaVuSans-63\"/>\n",
       "      <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-68\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(201.507244 280.276563)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-45\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n",
       "      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0  L -3.5 0  \" id=\"md8b585d2b2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#md8b585d2b2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_8\">\n",
       "      <!-- 0.0 -->\n",
       "      <defs>\n",
       "       <path d=\"M 10.6875 12.40625  L 21 12.40625  L 21 0  L 10.6875 0  z \" id=\"DejaVuSans-2e\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(67.096875 255.799219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#md8b585d2b2\" y=\"211.212309\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 0.1 -->\n",
       "      <g transform=\"translate(67.096875 215.011528)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#md8b585d2b2\" y=\"170.424619\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 0.2 -->\n",
       "      <g transform=\"translate(67.096875 174.223837)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#md8b585d2b2\" y=\"129.636928\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 0.3 -->\n",
       "      <defs>\n",
       "       <path d=\"M 40.578125 39.3125  Q 47.65625 37.796875 51.625 33  Q 55.609375 28.21875 55.609375 21.1875  Q 55.609375 10.40625 48.1875 4.484375  Q 40.765625 -1.421875 27.09375 -1.421875  Q 22.515625 -1.421875 17.65625 -0.515625  Q 12.796875 0.390625 7.625 2.203125  L 7.625 11.71875  Q 11.71875 9.328125 16.59375 8.109375  Q 21.484375 6.890625 26.8125 6.890625  Q 36.078125 6.890625 40.9375 10.546875  Q 45.796875 14.203125 45.796875 21.1875  Q 45.796875 27.640625 41.28125 31.265625  Q 36.765625 34.90625 28.71875 34.90625  L 20.21875 34.90625  L 20.21875 43.015625  L 29.109375 43.015625  Q 36.375 43.015625 40.234375 45.921875  Q 44.09375 48.828125 44.09375 54.296875  Q 44.09375 59.90625 40.109375 62.90625  Q 36.140625 65.921875 28.71875 65.921875  Q 24.65625 65.921875 20.015625 65.03125  Q 15.375 64.15625 9.8125 62.3125  L 9.8125 71.09375  Q 15.4375 72.65625 20.34375 73.4375  Q 25.25 74.21875 29.59375 74.21875  Q 40.828125 74.21875 47.359375 69.109375  Q 53.90625 64.015625 53.90625 55.328125  Q 53.90625 49.265625 50.4375 45.09375  Q 46.96875 40.921875 40.578125 39.3125  z \" id=\"DejaVuSans-33\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(67.096875 133.436147)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#md8b585d2b2\" y=\"88.849237\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 0.4 -->\n",
       "      <g transform=\"translate(67.096875 92.648456)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_12\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#md8b585d2b2\" y=\"48.061546\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_13\">\n",
       "      <!-- 0.5 -->\n",
       "      <defs>\n",
       "       <path d=\"M 10.796875 72.90625  L 49.515625 72.90625  L 49.515625 64.59375  L 19.828125 64.59375  L 19.828125 46.734375  Q 21.96875 47.46875 24.109375 47.828125  Q 26.265625 48.1875 28.421875 48.1875  Q 40.625 48.1875 47.75 41.5  Q 54.890625 34.8125 54.890625 23.390625  Q 54.890625 11.625 47.5625 5.09375  Q 40.234375 -1.421875 26.90625 -1.421875  Q 22.3125 -1.421875 17.546875 -0.640625  Q 12.796875 0.140625 7.71875 1.703125  L 7.71875 11.625  Q 12.109375 9.234375 16.796875 8.0625  Q 21.484375 6.890625 26.703125 6.890625  Q 35.15625 6.890625 40.078125 11.328125  Q 45.015625 15.765625 45.015625 23.390625  Q 45.015625 31 40.078125 35.4375  Q 35.15625 39.890625 26.703125 39.890625  Q 22.75 39.890625 18.8125 39.015625  Q 14.890625 38.140625 10.796875 36.28125  z \" id=\"DejaVuSans-35\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(67.096875 51.860765)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_13\">\n",
       "    <path clip-path=\"url(#pea5a6345b3)\" d=\"M 101.528926 215.855528  L 103.834711 242.691695  L 106.140496 244.806785  L 108.446281 245.114971  L 110.752066 245.89571  L 113.057851 246.660531  L 115.363636 247.407397  L 117.669421 248.127783  L 119.975207 248.782984  L 122.280992 249.320811  L 124.586777 249.707422  L 126.892562 249.950587  L 129.198347 250.089462  L 131.504132 250.167174  L 133.809917 250.213221  L 136.115702 250.243386  L 138.421488 250.265394  L 140.727273 250.282971  L 143.033058 250.297977  L 145.338843 250.311421  L 147.644628 250.323823  L 149.950413 250.335502  L 152.256198 250.346652  L 154.561983 250.357374  L 156.867769 250.367778  L 159.173554 250.377889  L 161.479339 250.38783  L 163.785124 250.397543  L 166.090909 250.40705  L 168.396694 250.416446  L 170.702479 250.425678  L 173.008264 250.434795  L 175.31405 250.44379  L 177.619835 250.452722  L 179.92562 250.461532  L 182.231405 250.470287  L 184.53719 250.478953  L 186.842975 250.487556  L 189.14876 250.496172  L 191.454545 250.504697  L 193.760331 250.513182  L 196.066116 250.521665  L 198.371901 250.530104  L 200.677686 250.538534  L 202.983471 250.546957  L 205.289256 250.555383  L 207.595041 250.563813  L 209.900826 250.572247  L 212.206612 250.580684  L 214.512397 250.58922  L 216.818182 250.597738  L 219.123967 250.606287  L 221.429752 250.61489  L 223.735537 250.623545  L 226.041322 250.632253  L 228.347107 250.641027  L 230.652893 250.64987  L 232.958678 250.658791  L 235.264463 250.66779  L 237.570248 250.676877  L 239.876033 250.686056  L 242.181818 250.69533  L 244.487603 250.704706  L 246.793388 250.714192  L 249.099174 250.723794  L 251.404959 250.733499  L 253.710744 250.743327  L 256.016529 250.75328  L 258.322314 250.763344  L 260.628099 250.773544  L 262.933884 250.783859  L 265.239669 250.794305  L 267.545455 250.804861  L 269.85124 250.815538  L 272.157025 250.826333  L 274.46281 250.83723  L 276.768595 250.84823  L 279.07438 250.859321  L 281.380165 250.870491  L 283.68595 250.881729  L 285.991736 250.89303  L 288.297521 250.90437  L 290.603306 250.91573  L 292.909091 250.927096  L 295.214876 250.938451  L 297.520661 250.949767  L 299.826446 250.961033  L 302.132231 250.972211  L 304.438017 250.983293  L 306.743802 250.994249  L 309.049587 251.005059  L 311.355372 251.015697  L 313.661157 251.026146  L 315.966942 251.036387  L 318.272727 251.046403  L 320.578512 251.056173  L 322.884298 251.065675  L 325.190083 251.074904  L 327.495868 251.083847  L 329.801653 251.092495  L 332.107438 251.100833  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_14\">\n",
       "    <path clip-path=\"url(#pea5a6345b3)\" d=\"M 101.528926 44.871468  L 103.834711 194.611833  L 106.140496 208.647568  L 108.446281 214.89394  L 110.752066 220.724638  L 113.057851 226.509172  L 115.363636 231.994742  L 117.669421 236.730256  L 119.975207 240.273102  L 122.280992 242.484679  L 124.586777 243.644968  L 126.892562 244.20062  L 129.198347 244.472278  L 131.504132 244.618451  L 133.809917 244.706796  L 136.115702 244.76619  L 138.421488 244.809728  L 140.727273 244.844052  L 143.033058 244.872597  L 145.338843 244.897408  L 147.644628 244.919466  L 149.950413 244.939622  L 152.256198 244.958513  L 154.561983 244.976347  L 156.867769 244.993486  L 159.173554 245.00935  L 161.479339 245.024883  L 163.785124 245.04029  L 166.090909 245.055026  L 168.396694 245.069787  L 170.702479 245.084277  L 173.008264 245.098817  L 175.31405 245.113151  L 177.619835 245.127754  L 179.92562 245.142279  L 182.231405 245.157039  L 184.53719 245.172432  L 186.842975 245.187425  L 189.14876 245.202985  L 191.454545 245.219052  L 193.760331 245.235377  L 196.066116 245.252293  L 198.371901 245.269671  L 200.677686 245.287638  L 202.983471 245.306247  L 205.289256 245.325517  L 207.595041 245.345483  L 209.900826 245.366716  L 212.206612 245.387909  L 214.512397 245.41023  L 216.818182 245.433474  L 219.123967 245.45765  L 221.429752 245.482832  L 223.735537 245.509012  L 226.041322 245.536268  L 228.347107 245.564678  L 230.652893 245.594196  L 232.958678 245.624912  L 235.264463 245.656848  L 237.570248 245.690062  L 239.876033 245.724558  L 242.181818 245.760411  L 244.487603 245.797592  L 246.793388 245.836185  L 249.099174 245.876335  L 251.404959 245.917695  L 253.710744 245.960516  L 256.016529 246.005038  L 258.322314 246.050712  L 260.628099 246.09801  L 262.933884 246.146792  L 265.239669 246.197106  L 267.545455 246.248764  L 269.85124 246.301895  L 272.157025 246.356433  L 274.46281 246.412303  L 276.768595 246.469448  L 279.07438 246.527876  L 281.380165 246.587451  L 283.68595 246.648065  L 285.991736 246.709702  L 288.297521 246.772211  L 290.603306 246.835479  L 292.909091 246.899371  L 295.214876 246.963891  L 297.520661 247.028588  L 299.826446 247.093547  L 302.132231 247.158567  L 304.438017 247.223525  L 306.743802 247.288265  L 309.049587 247.352651  L 311.355372 247.416506  L 313.661157 247.479753  L 315.966942 247.542269  L 318.272727 247.603937  L 320.578512 247.664683  L 322.884298 247.724242  L 325.190083 247.782694  L 327.495868 247.839943  L 329.801653 247.895918  L 332.107438 247.950505  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 90 252  L 90 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 343.636364 252  L 343.636364 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 90 252  L 343.636364 252  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 90 34.56  L 343.636364 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_14\">\n",
       "    <!-- LSTM with Window: Error -->\n",
       "    <defs>\n",
       "     <path d=\"M 9.8125 72.90625  L 19.671875 72.90625  L 19.671875 8.296875  L 55.171875 8.296875  L 55.171875 0  L 9.8125 0  z \" id=\"DejaVuSans-4c\"/>\n",
       "     <path d=\"M 53.515625 70.515625  L 53.515625 60.890625  Q 47.90625 63.578125 42.921875 64.890625  Q 37.9375 66.21875 33.296875 66.21875  Q 25.25 66.21875 20.875 63.09375  Q 16.5 59.96875 16.5 54.203125  Q 16.5 49.359375 19.40625 46.890625  Q 22.3125 44.4375 30.421875 42.921875  L 36.375 41.703125  Q 47.40625 39.59375 52.65625 34.296875  Q 57.90625 29 57.90625 20.125  Q 57.90625 9.515625 50.796875 4.046875  Q 43.703125 -1.421875 29.984375 -1.421875  Q 24.8125 -1.421875 18.96875 -0.25  Q 13.140625 0.921875 6.890625 3.21875  L 6.890625 13.375  Q 12.890625 10.015625 18.65625 8.296875  Q 24.421875 6.59375 29.984375 6.59375  Q 38.421875 6.59375 43.015625 9.90625  Q 47.609375 13.234375 47.609375 19.390625  Q 47.609375 24.75 44.3125 27.78125  Q 41.015625 30.8125 33.5 32.328125  L 27.484375 33.5  Q 16.453125 35.6875 11.515625 40.375  Q 6.59375 45.0625 6.59375 53.421875  Q 6.59375 63.09375 13.40625 68.65625  Q 20.21875 74.21875 32.171875 74.21875  Q 37.3125 74.21875 42.625 73.28125  Q 47.953125 72.359375 53.515625 70.515625  z \" id=\"DejaVuSans-53\"/>\n",
       "     <path d=\"M -0.296875 72.90625  L 61.375 72.90625  L 61.375 64.59375  L 35.5 64.59375  L 35.5 0  L 25.59375 0  L 25.59375 64.59375  L -0.296875 64.59375  z \" id=\"DejaVuSans-54\"/>\n",
       "     <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-4d\"/>\n",
       "     <path id=\"DejaVuSans-20\"/>\n",
       "     <path d=\"M 4.203125 54.6875  L 13.1875 54.6875  L 24.421875 12.015625  L 35.59375 54.6875  L 46.1875 54.6875  L 57.421875 12.015625  L 68.609375 54.6875  L 77.59375 54.6875  L 63.28125 0  L 52.6875 0  L 40.921875 44.828125  L 29.109375 0  L 18.5 0  z \" id=\"DejaVuSans-77\"/>\n",
       "     <path d=\"M 9.421875 54.6875  L 18.40625 54.6875  L 18.40625 0  L 9.421875 0  z M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 64.59375  L 9.421875 64.59375  z \" id=\"DejaVuSans-69\"/>\n",
       "     <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-74\"/>\n",
       "     <path d=\"M 3.328125 72.90625  L 13.28125 72.90625  L 28.609375 11.28125  L 43.890625 72.90625  L 54.984375 72.90625  L 70.3125 11.28125  L 85.59375 72.90625  L 95.609375 72.90625  L 77.296875 0  L 64.890625 0  L 49.515625 63.28125  L 33.984375 0  L 21.578125 0  z \" id=\"DejaVuSans-57\"/>\n",
       "     <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-6e\"/>\n",
       "     <path d=\"M 45.40625 46.390625  L 45.40625 75.984375  L 54.390625 75.984375  L 54.390625 0  L 45.40625 0  L 45.40625 8.203125  Q 42.578125 3.328125 38.25 0.953125  Q 33.9375 -1.421875 27.875 -1.421875  Q 17.96875 -1.421875 11.734375 6.484375  Q 5.515625 14.40625 5.515625 27.296875  Q 5.515625 40.1875 11.734375 48.09375  Q 17.96875 56 27.875 56  Q 33.9375 56 38.25 53.625  Q 42.578125 51.265625 45.40625 46.390625  z M 14.796875 27.296875  Q 14.796875 17.390625 18.875 11.75  Q 22.953125 6.109375 30.078125 6.109375  Q 37.203125 6.109375 41.296875 11.75  Q 45.40625 17.390625 45.40625 27.296875  Q 45.40625 37.203125 41.296875 42.84375  Q 37.203125 48.484375 30.078125 48.484375  Q 22.953125 48.484375 18.875 42.84375  Q 14.796875 37.203125 14.796875 27.296875  z \" id=\"DejaVuSans-64\"/>\n",
       "     <path d=\"M 11.71875 12.40625  L 22.015625 12.40625  L 22.015625 0  L 11.71875 0  z M 11.71875 51.703125  L 22.015625 51.703125  L 22.015625 39.3125  L 11.71875 39.3125  z \" id=\"DejaVuSans-3a\"/>\n",
       "     <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-72\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(141.712244 28.56)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#DejaVuSans-4c\"/>\n",
       "     <use x=\"55.712891\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"119.189453\" xlink:href=\"#DejaVuSans-54\"/>\n",
       "     <use x=\"180.273438\" xlink:href=\"#DejaVuSans-4d\"/>\n",
       "     <use x=\"266.552734\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"298.339844\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"380.126953\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"407.910156\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"447.119141\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     <use x=\"510.498047\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"542.285156\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"641.130859\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"668.914062\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "     <use x=\"732.292969\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "     <use x=\"795.769531\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "     <use x=\"856.951172\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"938.660156\" xlink:href=\"#DejaVuSans-3a\"/>\n",
       "     <use x=\"972.351562\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"1004.138672\" xlink:href=\"#DejaVuSans-45\"/>\n",
       "     <use x=\"1067.322266\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"1108.419922\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"1149.501953\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "     <use x=\"1210.683594\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"legend_1\">\n",
       "    <g id=\"patch_7\">\n",
       "     <path d=\"M 236.030114 71.91625  L 336.636364 71.91625  Q 338.636364 71.91625 338.636364 69.91625  L 338.636364 41.56  Q 338.636364 39.56 336.636364 39.56  L 236.030114 39.56  Q 234.030114 39.56 234.030114 41.56  L 234.030114 69.91625  Q 234.030114 71.91625 236.030114 71.91625  z \" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_15\">\n",
       "     <path d=\"M 238.030114 47.658437  L 258.030114 47.658437  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_16\"/>\n",
       "    <g id=\"text_15\">\n",
       "     <!-- Training set -->\n",
       "     <defs>\n",
       "      <path d=\"M 34.28125 27.484375  Q 23.390625 27.484375 19.1875 25  Q 14.984375 22.515625 14.984375 16.5  Q 14.984375 11.71875 18.140625 8.90625  Q 21.296875 6.109375 26.703125 6.109375  Q 34.1875 6.109375 38.703125 11.40625  Q 43.21875 16.703125 43.21875 25.484375  L 43.21875 27.484375  z M 52.203125 31.203125  L 52.203125 0  L 43.21875 0  L 43.21875 8.296875  Q 40.140625 3.328125 35.546875 0.953125  Q 30.953125 -1.421875 24.3125 -1.421875  Q 15.921875 -1.421875 10.953125 3.296875  Q 6 8.015625 6 15.921875  Q 6 25.140625 12.171875 29.828125  Q 18.359375 34.515625 30.609375 34.515625  L 43.21875 34.515625  L 43.21875 35.40625  Q 43.21875 41.609375 39.140625 45  Q 35.0625 48.390625 27.6875 48.390625  Q 23 48.390625 18.546875 47.265625  Q 14.109375 46.140625 10.015625 43.890625  L 10.015625 52.203125  Q 14.9375 54.109375 19.578125 55.046875  Q 24.21875 56 28.609375 56  Q 40.484375 56 46.34375 49.84375  Q 52.203125 43.703125 52.203125 31.203125  z \" id=\"DejaVuSans-61\"/>\n",
       "      <path d=\"M 45.40625 27.984375  Q 45.40625 37.75 41.375 43.109375  Q 37.359375 48.484375 30.078125 48.484375  Q 22.859375 48.484375 18.828125 43.109375  Q 14.796875 37.75 14.796875 27.984375  Q 14.796875 18.265625 18.828125 12.890625  Q 22.859375 7.515625 30.078125 7.515625  Q 37.359375 7.515625 41.375 12.890625  Q 45.40625 18.265625 45.40625 27.984375  z M 54.390625 6.78125  Q 54.390625 -7.171875 48.1875 -13.984375  Q 42 -20.796875 29.203125 -20.796875  Q 24.46875 -20.796875 20.265625 -20.09375  Q 16.0625 -19.390625 12.109375 -17.921875  L 12.109375 -9.1875  Q 16.0625 -11.328125 19.921875 -12.34375  Q 23.78125 -13.375 27.78125 -13.375  Q 36.625 -13.375 41.015625 -8.765625  Q 45.40625 -4.15625 45.40625 5.171875  L 45.40625 9.625  Q 42.625 4.78125 38.28125 2.390625  Q 33.9375 0 27.875 0  Q 17.828125 0 11.671875 7.65625  Q 5.515625 15.328125 5.515625 27.984375  Q 5.515625 40.671875 11.671875 48.328125  Q 17.828125 56 27.875 56  Q 33.9375 56 38.28125 53.609375  Q 42.625 51.21875 45.40625 46.390625  L 45.40625 54.6875  L 54.390625 54.6875  z \" id=\"DejaVuSans-67\"/>\n",
       "      <path d=\"M 44.28125 53.078125  L 44.28125 44.578125  Q 40.484375 46.53125 36.375 47.5  Q 32.28125 48.484375 27.875 48.484375  Q 21.1875 48.484375 17.84375 46.4375  Q 14.5 44.390625 14.5 40.28125  Q 14.5 37.15625 16.890625 35.375  Q 19.28125 33.59375 26.515625 31.984375  L 29.59375 31.296875  Q 39.15625 29.25 43.1875 25.515625  Q 47.21875 21.78125 47.21875 15.09375  Q 47.21875 7.46875 41.1875 3.015625  Q 35.15625 -1.421875 24.609375 -1.421875  Q 20.21875 -1.421875 15.453125 -0.5625  Q 10.6875 0.296875 5.421875 2  L 5.421875 11.28125  Q 10.40625 8.6875 15.234375 7.390625  Q 20.0625 6.109375 24.8125 6.109375  Q 31.15625 6.109375 34.5625 8.28125  Q 37.984375 10.453125 37.984375 14.40625  Q 37.984375 18.0625 35.515625 20.015625  Q 33.0625 21.96875 24.703125 23.78125  L 21.578125 24.515625  Q 13.234375 26.265625 9.515625 29.90625  Q 5.8125 33.546875 5.8125 39.890625  Q 5.8125 47.609375 11.28125 51.796875  Q 16.75 56 26.8125 56  Q 31.78125 56 36.171875 55.265625  Q 40.578125 54.546875 44.28125 53.078125  z \" id=\"DejaVuSans-73\"/>\n",
       "      <path d=\"M 56.203125 29.59375  L 56.203125 25.203125  L 14.890625 25.203125  Q 15.484375 15.921875 20.484375 11.0625  Q 25.484375 6.203125 34.421875 6.203125  Q 39.59375 6.203125 44.453125 7.46875  Q 49.3125 8.734375 54.109375 11.28125  L 54.109375 2.78125  Q 49.265625 0.734375 44.1875 -0.34375  Q 39.109375 -1.421875 33.890625 -1.421875  Q 20.796875 -1.421875 13.15625 6.1875  Q 5.515625 13.8125 5.515625 26.8125  Q 5.515625 40.234375 12.765625 48.109375  Q 20.015625 56 32.328125 56  Q 43.359375 56 49.78125 48.890625  Q 56.203125 41.796875 56.203125 29.59375  z M 47.21875 32.234375  Q 47.125 39.59375 43.09375 43.984375  Q 39.0625 48.390625 32.421875 48.390625  Q 24.90625 48.390625 20.390625 44.140625  Q 15.875 39.890625 15.1875 32.171875  z \" id=\"DejaVuSans-65\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(266.030114 51.158437)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      <use x=\"60.865234\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "      <use x=\"101.978516\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"163.257812\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"191.041016\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"254.419922\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"282.203125\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"345.582031\" xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"409.058594\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"440.845703\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"492.945312\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"554.46875\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"line2d_17\">\n",
       "     <path d=\"M 238.030114 62.336562  L 258.030114 62.336562  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_18\"/>\n",
       "    <g id=\"text_16\">\n",
       "     <!-- Validation set -->\n",
       "     <defs>\n",
       "      <path d=\"M 28.609375 0  L 0.78125 72.90625  L 11.078125 72.90625  L 34.1875 11.53125  L 57.328125 72.90625  L 67.578125 72.90625  L 39.796875 0  z \" id=\"DejaVuSans-56\"/>\n",
       "      <path d=\"M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 0  L 9.421875 0  z \" id=\"DejaVuSans-6c\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(266.030114 65.836562)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      <use x=\"68.298828\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"129.578125\" xlink:href=\"#DejaVuSans-6c\"/>\n",
       "      <use x=\"157.361328\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"185.144531\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "      <use x=\"248.621094\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"309.900391\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "      <use x=\"349.109375\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"376.892578\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"438.074219\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"501.453125\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"533.240234\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"585.339844\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"646.863281\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_2\">\n",
       "   <g id=\"patch_8\">\n",
       "    <path d=\"M 394.363636 252  L 648 252  L 648 34.56  L 394.363636 34.56  z \" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_3\">\n",
       "    <g id=\"xtick_7\">\n",
       "     <g id=\"line2d_19\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"405.892562\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_17\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(402.711312 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_8\">\n",
       "     <g id=\"line2d_20\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"452.008264\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_18\">\n",
       "      <!-- 20 -->\n",
       "      <g transform=\"translate(445.645764 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_9\">\n",
       "     <g id=\"line2d_21\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"498.123967\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_19\">\n",
       "      <!-- 40 -->\n",
       "      <g transform=\"translate(491.761467 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_10\">\n",
       "     <g id=\"line2d_22\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"544.239669\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_20\">\n",
       "      <!-- 60 -->\n",
       "      <g transform=\"translate(537.877169 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_11\">\n",
       "     <g id=\"line2d_23\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"590.355372\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_21\">\n",
       "      <!-- 80 -->\n",
       "      <g transform=\"translate(583.992872 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_12\">\n",
       "     <g id=\"line2d_24\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"636.471074\" xlink:href=\"#m1abb0c5cb2\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_22\">\n",
       "      <!-- 100 -->\n",
       "      <g transform=\"translate(626.927324 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_23\">\n",
       "     <!-- Epoch -->\n",
       "     <g transform=\"translate(505.870881 280.276563)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-45\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n",
       "      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_4\">\n",
       "    <g id=\"ytick_7\">\n",
       "     <g id=\"line2d_25\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#md8b585d2b2\" y=\"233.88\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_24\">\n",
       "      <!-- 0.0 -->\n",
       "      <g transform=\"translate(371.460511 237.679219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_8\">\n",
       "     <g id=\"line2d_26\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#md8b585d2b2\" y=\"197.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_25\">\n",
       "      <!-- 0.2 -->\n",
       "      <g transform=\"translate(371.460511 201.439219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_9\">\n",
       "     <g id=\"line2d_27\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#md8b585d2b2\" y=\"161.4\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_26\">\n",
       "      <!-- 0.4 -->\n",
       "      <g transform=\"translate(371.460511 165.199219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_10\">\n",
       "     <g id=\"line2d_28\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#md8b585d2b2\" y=\"125.16\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_27\">\n",
       "      <!-- 0.6 -->\n",
       "      <g transform=\"translate(371.460511 128.959219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_11\">\n",
       "     <g id=\"line2d_29\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#md8b585d2b2\" y=\"88.92\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_28\">\n",
       "      <!-- 0.8 -->\n",
       "      <g transform=\"translate(371.460511 92.719219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_12\">\n",
       "     <g id=\"line2d_30\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#md8b585d2b2\" y=\"52.68\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_29\">\n",
       "      <!-- 1.0 -->\n",
       "      <g transform=\"translate(371.460511 56.479219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_31\">\n",
       "    <path clip-path=\"url(#p6a5d3dad60)\" d=\"M 405.892562 195.326809  L 408.198347 159.84129  L 410.504132 142.305806  L 412.809917 136.460645  L 415.115702 126.71871  L 417.421488 124.770323  L 419.727273 116.976774  L 422.033058 109.183226  L 424.338843 101.389677  L 426.644628 93.596129  L 428.950413 85.802581  L 431.256198 79.957419  L 433.561983 81.905806  L 435.867769 78.009032  L 438.173554 76.060645  L 440.479339 76.060645  L 442.785124 76.060645  L 445.090909 76.060645  L 447.396694 78.009032  L 449.702479 78.009032  L 452.008264 76.060645  L 454.31405 74.112258  L 456.619835 74.112258  L 458.92562 74.112258  L 461.231405 74.112258  L 463.53719 74.112258  L 465.842975 74.112258  L 468.14876 74.112258  L 470.454545 74.112258  L 472.760331 74.112258  L 475.066116 74.112258  L 477.371901 74.112258  L 479.677686 72.163871  L 481.983471 72.163871  L 484.289256 72.163871  L 486.595041 72.163871  L 488.900826 72.163871  L 491.206612 72.163871  L 493.512397 72.163871  L 495.818182 72.163871  L 498.123967 72.163871  L 500.429752 72.163871  L 502.735537 72.163871  L 505.041322 72.163871  L 507.347107 72.163871  L 509.652893 72.163871  L 511.958678 72.163871  L 514.264463 72.163871  L 516.570248 72.163871  L 518.876033 72.163871  L 521.181818 72.163871  L 523.487603 72.163871  L 525.793388 72.163871  L 528.099174 72.163871  L 530.404959 72.163871  L 532.710744 72.163871  L 535.016529 72.163871  L 537.322314 72.163871  L 539.628099 70.215484  L 541.933884 68.267097  L 544.239669 68.267097  L 546.545455 68.267097  L 548.85124 68.267097  L 551.157025 68.267097  L 553.46281 68.267097  L 555.768595 68.267097  L 558.07438 68.267097  L 560.380165 68.267097  L 562.68595 68.267097  L 564.991736 68.267097  L 567.297521 68.267097  L 569.603306 68.267097  L 571.909091 68.267097  L 574.214876 68.267097  L 576.520661 68.267097  L 578.826446 68.267097  L 581.132231 66.31871  L 583.438017 64.370323  L 585.743802 64.370323  L 588.049587 64.370323  L 590.355372 64.370323  L 592.661157 64.370323  L 594.966942 64.370323  L 597.272727 64.370323  L 599.578512 60.473548  L 601.884298 60.473548  L 604.190083 58.525161  L 606.495868 58.525161  L 608.801653 58.525161  L 611.107438 58.525161  L 613.413223 58.525161  L 615.719008 58.525161  L 618.024793 58.525161  L 620.330579 58.525161  L 622.636364 58.525161  L 624.942149 58.525161  L 627.247934 58.525161  L 629.553719 58.525161  L 631.859504 58.525161  L 634.165289 58.525161  L 636.471074 58.525161  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_32\">\n",
       "    <path clip-path=\"url(#p6a5d3dad60)\" d=\"M 405.892562 233.88  L 408.198347 233.88  L 410.504132 222.314043  L 412.809917 222.314043  L 415.115702 214.603404  L 417.421488 191.471489  L 419.727273 179.905532  L 422.033058 156.773617  L 424.338843 141.35234  L 426.644628 137.497021  L 428.950413 137.497021  L 431.256198 141.35234  L 433.561983 137.497021  L 435.867769 137.497021  L 438.173554 137.497021  L 440.479339 137.497021  L 442.785124 137.497021  L 445.090909 137.497021  L 447.396694 137.497021  L 449.702479 137.497021  L 452.008264 137.497021  L 454.31405 137.497021  L 456.619835 137.497021  L 458.92562 137.497021  L 461.231405 137.497021  L 463.53719 137.497021  L 465.842975 137.497021  L 468.14876 137.497021  L 470.454545 137.497021  L 472.760331 137.497021  L 475.066116 137.497021  L 477.371901 137.497021  L 479.677686 137.497021  L 481.983471 133.641702  L 484.289256 133.641702  L 486.595041 133.641702  L 488.900826 133.641702  L 491.206612 133.641702  L 493.512397 133.641702  L 495.818182 133.641702  L 498.123967 133.641702  L 500.429752 133.641702  L 502.735537 133.641702  L 505.041322 133.641702  L 507.347107 133.641702  L 509.652893 133.641702  L 511.958678 133.641702  L 514.264463 133.641702  L 516.570248 133.641702  L 518.876033 133.641702  L 521.181818 133.641702  L 523.487603 133.641702  L 525.793388 133.641702  L 528.099174 133.641702  L 530.404959 133.641702  L 532.710744 133.641702  L 535.016529 133.641702  L 537.322314 133.641702  L 539.628099 125.931064  L 541.933884 125.931064  L 544.239669 125.931064  L 546.545455 122.075745  L 548.85124 122.075745  L 551.157025 122.075745  L 553.46281 122.075745  L 555.768595 122.075745  L 558.07438 122.075745  L 560.380165 122.075745  L 562.68595 122.075745  L 564.991736 122.075745  L 567.297521 122.075745  L 569.603306 118.220426  L 571.909091 118.220426  L 574.214876 118.220426  L 576.520661 118.220426  L 578.826446 118.220426  L 581.132231 118.220426  L 583.438017 118.220426  L 585.743802 118.220426  L 588.049587 118.220426  L 590.355372 118.220426  L 592.661157 118.220426  L 594.966942 118.220426  L 597.272727 114.365106  L 599.578512 110.509787  L 601.884298 110.509787  L 604.190083 110.509787  L 606.495868 106.654468  L 608.801653 106.654468  L 611.107438 106.654468  L 613.413223 106.654468  L 615.719008 106.654468  L 618.024793 102.799149  L 620.330579 102.799149  L 622.636364 102.799149  L 624.942149 102.799149  L 627.247934 102.799149  L 629.553719 102.799149  L 631.859504 102.799149  L 634.165289 102.799149  L 636.471074 102.799149  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_9\">\n",
       "    <path d=\"M 394.363636 252  L 394.363636 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_10\">\n",
       "    <path d=\"M 648 252  L 648 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_11\">\n",
       "    <path d=\"M 394.363636 252  L 648 252  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_12\">\n",
       "    <path d=\"M 394.363636 34.56  L 648 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_30\">\n",
       "    <!-- LSTM with Window: Accuracy -->\n",
       "    <defs>\n",
       "     <path d=\"M 34.1875 63.1875  L 20.796875 26.90625  L 47.609375 26.90625  z M 28.609375 72.90625  L 39.796875 72.90625  L 67.578125 0  L 57.328125 0  L 50.6875 18.703125  L 17.828125 18.703125  L 11.1875 0  L 0.78125 0  z \" id=\"DejaVuSans-41\"/>\n",
       "     <path d=\"M 8.5 21.578125  L 8.5 54.6875  L 17.484375 54.6875  L 17.484375 21.921875  Q 17.484375 14.15625 20.5 10.265625  Q 23.53125 6.390625 29.59375 6.390625  Q 36.859375 6.390625 41.078125 11.03125  Q 45.3125 15.671875 45.3125 23.6875  L 45.3125 54.6875  L 54.296875 54.6875  L 54.296875 0  L 45.3125 0  L 45.3125 8.40625  Q 42.046875 3.421875 37.71875 1  Q 33.40625 -1.421875 27.6875 -1.421875  Q 18.265625 -1.421875 13.375 4.4375  Q 8.5 10.296875 8.5 21.578125  z M 31.109375 56  z \" id=\"DejaVuSans-75\"/>\n",
       "     <path d=\"M 32.171875 -5.078125  Q 28.375 -14.84375 24.75 -17.8125  Q 21.140625 -20.796875 15.09375 -20.796875  L 7.90625 -20.796875  L 7.90625 -13.28125  L 13.1875 -13.28125  Q 16.890625 -13.28125 18.9375 -11.515625  Q 21 -9.765625 23.484375 -3.21875  L 25.09375 0.875  L 2.984375 54.6875  L 12.5 54.6875  L 29.59375 11.921875  L 46.6875 54.6875  L 56.203125 54.6875  z \" id=\"DejaVuSans-79\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(433.437443 28.56)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#DejaVuSans-4c\"/>\n",
       "     <use x=\"55.712891\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"119.189453\" xlink:href=\"#DejaVuSans-54\"/>\n",
       "     <use x=\"180.273438\" xlink:href=\"#DejaVuSans-4d\"/>\n",
       "     <use x=\"266.552734\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"298.339844\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"380.126953\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"407.910156\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"447.119141\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     <use x=\"510.498047\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"542.285156\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"641.130859\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"668.914062\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "     <use x=\"732.292969\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "     <use x=\"795.769531\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "     <use x=\"856.951172\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"938.660156\" xlink:href=\"#DejaVuSans-3a\"/>\n",
       "     <use x=\"972.351562\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"1004.138672\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     <use x=\"1072.53125\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"1127.511719\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"1182.492188\" xlink:href=\"#DejaVuSans-75\"/>\n",
       "     <use x=\"1245.871094\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"1286.984375\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "     <use x=\"1348.263672\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"1403.244141\" xlink:href=\"#DejaVuSans-79\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"legend_2\">\n",
       "    <g id=\"patch_13\">\n",
       "     <path d=\"M 401.363636 71.91625  L 501.969886 71.91625  Q 503.969886 71.91625 503.969886 69.91625  L 503.969886 41.56  Q 503.969886 39.56 501.969886 39.56  L 401.363636 39.56  Q 399.363636 39.56 399.363636 41.56  L 399.363636 69.91625  Q 399.363636 71.91625 401.363636 71.91625  z \" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_33\">\n",
       "     <path d=\"M 403.363636 47.658437  L 423.363636 47.658437  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_34\"/>\n",
       "    <g id=\"text_31\">\n",
       "     <!-- Training set -->\n",
       "     <g transform=\"translate(431.363636 51.158437)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      <use x=\"60.865234\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "      <use x=\"101.978516\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"163.257812\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"191.041016\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"254.419922\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"282.203125\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"345.582031\" xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"409.058594\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"440.845703\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"492.945312\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"554.46875\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"line2d_35\">\n",
       "     <path d=\"M 403.363636 62.336562  L 423.363636 62.336562  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_36\"/>\n",
       "    <g id=\"text_32\">\n",
       "     <!-- Validation set -->\n",
       "     <g transform=\"translate(431.363636 65.836562)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      <use x=\"68.298828\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"129.578125\" xlink:href=\"#DejaVuSans-6c\"/>\n",
       "      <use x=\"157.361328\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"185.144531\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "      <use x=\"248.621094\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"309.900391\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "      <use x=\"349.109375\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"376.892578\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"438.074219\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"501.453125\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"533.240234\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"585.339844\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"646.863281\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"pea5a6345b3\">\n",
       "   <rect height=\"217.44\" width=\"253.636364\" x=\"90\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p6a5d3dad60\">\n",
       "   <rect height=\"217.44\" width=\"253.636364\" x=\"394.363636\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================================\n",
      "       |  Training |  Training |  Validate |  Validate \n",
      "Epochs |     Error |  Accuracy |     Error |  Accuracy \n",
      "------ | --------- | --------- | --------- | --------- \n",
      "#  100 |   0.00220 |   0.96774 |   0.00993 |   0.72340 \n",
      "Saving network... Saved!\n"
     ]
    }
   ],
   "source": [
    "if net2.saved():\n",
    "    net2.load()\n",
    "    net2.plot_results()\n",
    "else:\n",
    "    net2.train(100, batch_size=batch_size, shuffle=False, save=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd6d33b74e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outputs = [net2.propagate(i) for i in net2.dataset.inputs]\n",
    "cx.plot([[\"Network output\", outputs], [\"Training data\", net2.dataset.targets]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LSTM with State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "net3 = cx.Network(\"LSTM with Window and State\")\n",
    "net3.add(cx.Layer(\"input\", features, batch_shape=(batch_size, time_steps, features)))\n",
    "net3.add(cx.LSTMLayer(\"lstm\", 4, stateful=True)) \n",
    "net3.add(cx.Layer(\"output\", 1))\n",
    "net3.connect()\n",
    "net3.compile(error=\"mse\", optimizer=\"adam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "net3.dataset.load(dataset)\n",
    "net3.dataset.split(.33)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d69c1267c464210a1c70e9ed5b06c5e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>Dashboard</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "Dashboard(children=(Accordion(children=(HBox(children=(VBox(children=(Select(description='Dataset:', index=1, options=('Test', 'Train'), rows=1, value='Train'), FloatSlider(value=0.5, continuous_update=False, description='Zoom', layout=Layout(width='65%'), max=1.0, style=SliderStyle(description_width='initial')), IntText(value=150, description='Horizontal space between banks:', style=DescriptionStyle(description_width='initial')), IntText(value=30, description='Vertical space between layers:', style=DescriptionStyle(description_width='initial')), HBox(children=(Checkbox(value=False, description='Show Targets', style=DescriptionStyle(description_width='initial')), Checkbox(value=False, description='Errors', style=DescriptionStyle(description_width='initial')))), Select(description='Features:', options=('',), rows=1, value=''), IntText(value=3, description='Feature columns:', style=DescriptionStyle(description_width='initial')), FloatText(value=1.0, description='Feature scale:', style=DescriptionStyle(description_width='initial'))), layout=Layout(width='100%')), VBox(children=(Select(description='Layer:', index=2, options=('input', 'lstm', 'output'), rows=1, value='output'), Checkbox(value=True, description='Visible'), Select(description='Colormap:', options=('', 'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Vega10', 'Vega10_r', 'Vega20', 'Vega20_r', 'Vega20b', 'Vega20b_r', 'Vega20c', 'Vega20c_r', 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno', 'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r', 'seismic', 'seismic_r', 'spectral', 'spectral_r', 'spring', 'spring_r', 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'viridis', 'viridis_r', 'winter', 'winter_r'), rows=1, value=''), HTML(value='<img src=\"data:image/gif;base64,R0lGODdhLAEZAIcAAPIBAY8AAK8AANAAAAIC8wAAbwAAsAAAkAAA0Pr2+vPn8wAAVkdH/7a2///X1yYm/2Zm/3h4/5aW/9fX//8VFf8mJv84OP9WVv9nZ/+Ghv+YmP+2thYW/zU1/1hY/4aG/6Wl/8jI//9GRv92dv+mpv/FxX8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAALAEZAEAI/wBNBBhIsKDBggISKlzIcOGAhxAjSowIoKLFixgzAqDAkWOFjx8tiBQpoqSICyhRYli5coTLERlixtRAkyaJmyQ26NRZomcJB0CDKhiqIIHRo0gVKFUwoWnTEFBDNJhKFYRVEBKyZv3A9UOEr18hiBXroawHBmjTdljb4YFbtxziciBAt67du3UR6N3Ld6+Bv4ADBz5AuLDhwgUSK168eIHjxwtMBJhMubLlygIya97MefOAz6BDiw4NoLTp06hTA6DAmnWF168tyJYtoraIC7hxY9i9e4TvERmCB9dAnDiJ4yQ2KFdeonkJB9CjK5iuIIH169gVaFcwoXv3EOBDNP8YTx6EeRAS0qf/wP5DhPfvIciX76G+Bwb483fY3+GBf4APHnAgyIHAQYQJFSJE0NDhQ4cGJE6kSPHARYwZMRbg2NGjxwUhRS4wEcDkSZQpUQpg2dLlS5cDZM6kWZMmAJw5de7kCYDCz58VhAq1ULSoCKQiLixdisGp0xFRR2SgSlXD1asktJLY0LVrCbAlHIwlq8CsggRp1a5V0FbBBLhwQ8wN0cDuXRB5QUjgy/fD3w8RBAuGULiwB8QeGCxm3MFxhweRI3OgzIHAZcyZNWNG0NnzZ88GRI8mTfrAadSpURdg3dq16wWxZS8wEcD2bdy5cQvg3dv3b98DhA8nXpz/OADkyZUvZw6AwvPnFaRLt1C9ugjsIi5s347Bu/cR4UdkIE9ew/nzJNST2NC+fQn4JRzMp6/AvoIE+fXvV9BfAcAJAgWGKBiiAcKEIBaCkODQ4YeIHyJQpAjh4kUPGj0w6OixA8gOD0aO5GCSA4GUKleyVIngJcyYMA3QrGnT5oGcOnfqLODzJ1CgC4YSXWAiANKkSpcqFeD0KdSoUAdQrWr1qlUAWrdy7eoVAIWwYSuQJWvh7FkRakVcaNsWA1y4I+aOyGDXroa8eUnwJbHh798Sgks4KGxYAWIFCRYzbqzgsYIJkiWHqByiAebMIDaDkODZ84fQHyKQJg3h9GkP/6o9MGjtugPsDg9mz+ZgmwOB3Lp389aN4Dfw4MANEC9u3PiB5MqXKy/g/Dl06AumU19gIgD27Nq3axfg/Tv48OAHkC9v/rx5AOrXs2/vHgCF+PEr0Kdv4f59EfpFXOjfHyAGgQJHFByRASFCDQsXknBIYkPEiCUolnBwEaMCjQoSdPT4UUFIBRNIkgxxMkQDlStBtAQhASbMDzM/RLBpE0LOnB54emDwE2gHoR0eFC3KASkHAkuZNnXKFEFUqVOlGrB6FSvWA1u5duVaAGxYsWIXlDW7wEQAtWvZtmUrAG5cuXPlDrB7F29evAD49vX7FzAACoMHVzBs2ELixCIYi/+48PgxBsmSR1QekQEzZg2bN5PwTGJD6NAlSJdwcBq1AtUKErR2/VpBbAUTaNMOcTtEA927QfQGIQE48A/DP0QwbhxC8uQemHtg8Bx6B+kdHlSvzgE7BwLbuXf3zh1BePHjxRswfx49+gPr2bdnXwB+fPnyF9S3v8BEAP37+ffnD1CAwIEECxIcgDChwoUKATh8CDGiRAAUKlasgBGjhY0bRXgUcSFkSAwkSY44OSKDSpUaWrYkAZPEhpkzS9gs4SCnTgU8FST4CTSogqEKJhg1GiJpiAZMm4J4CkKCVKkfqn6IgBUrhK1bPXj1wCCs2A5kOzw4e5aDWg4E2rp9C9f/LYK5dOvSNYA3r169B/r6/eu3gODBhAkvOIx4gYkAjBs7fuxYgOTJlCtTHoA5s+bNmgF4/gw6tGgAFEqXroAatYXVq0W4FnEhdmwMtGmPuD0ig27dGnr3JgGcxIbhw0sYL+EguXIFzBUkeA49uoLpCiZYtx4ie4gG3LuD+A5CgnjxH8p/iIAePYT16z2498AgvvwO9Ds8uH+fg34OBPr7B0hA4ECCAhEcRJgQoQGGDR06PBBR4kSJBSxexIhxwUaOC0wEABlS5EiRAkyeRJkS5QCWLV2+dAlA5kyaNW0CoJAzZwWePC38/ClCqIgLRYtiQIp0xNIRGZw61RA1Kgmq/yQ2XL1aQmsJB129KgCrIMFYsmUVnFUwQa3aEG1DNIAbF8RcEBLs2v2Q90MEvnwh/P3rQbAHBoUNd0Dc4cHixRwccyAQWfJkypIRXMacGbMBzp09ez4QWvRo0QVMn0aNesFq1gtMBIAdW/Zs2QJs38adG/cA3r19//YNQPhw4sWNA6CQPHkF5swtPH8uQrqIC9WrY8COfcT2ERm8e9cQPjwJ8iQ2nD9fQn0JB+3dK4CvIMF8+vUV3FcwQb/+EP1DAGwgcCCIgiAkIET4YeGHCA4dQogY0QNFDwwuYuygscODjh05gORAYCTJkiZJIkipcqVKAy5fwoR5YCbNmjQL4P/MqVPngp4+F5gIIHQo0aJEBSBNqnSp0gFOn0KNChUA1apWr2IFQGHr1gpevVoIG1YEWREXzp7FoFbtiLYjMsCFq2HuXBJ2SWzIm7cE3xIO/gJWIFhBgsKGDytIrGACY8YhHodoIHkyiMogJGDG/GHzhwiePUMIHdoDaQ8MTqPuoLrDg9atOcDmQGA27dq2aSPIrXu3bgO+fwMHfmA48eLECyBPrlz5gubOF5gIIH069erUBWDPrn279gHev4MPDx4A+fLmz6MHQGH9+gru3VuIH18EfREX7t/HoF//iP4jAGYQKFBDwYIkEJLYsHBhCYclHESUqICiggQXMWZUsFH/wQSPHkOEDNGAZEkQJ0FIUKnyQ8sPEWDChDBzpgebHhjk1NmBZ4cHP39yEMqBQFGjR5EaRbCUaVOmBqBGlSr1QFWrV60W0LqVK9cFX8EuMBGAbFmzZ80KULuWbVu2A+DGlTtXLgC7d/Hm1QuAQt++FQADtjB4sAjDIi4kToyBMeMRj0dkkCxZQ+XKJDCT2LB5cwnPJRyEFq2AtIIEp1GnVrBawQTXrkPEDtGAdm0Qt0FI0K37Q+8PEYADhzB8uAfjHhgkV96BeYcHz59zkM6BQHXr17FbR7Cde3fuBsCHFy/+QHnz580XUL+ePfsF7+EvMBGAfn379+0L0L+ff3/+/wAHCBxIsCBBAAgTKlzIEACFhw8rSJRooWJFERhFXNi4EYNHjyNCjshAkqSGkydJqCSxoWXLEjBLOJhJU4FNBQly6typoKeCCUCBhhgaooHRoyCSgpDAlOmHpx8iSJUKoWpVD1g9MNjKtYPXDg/ChuVAlgOBs2jTqkWLoK3bt24NyJ1Ll+6Bu3jz4i3At69fvwsCC15gIoDhw4gTIxbAuLHjx44HSJ5MuTJlAJgza97MGQCFz58riBZtoXRpEahFXFi9GoNr1yNij8hAm7aG27dJ6CaxoXfvEsBLOBhOXIFxBQmSK1+uoLmCCdChh5geooH16yCyg5DAnfuH7x8iiP8XD6F8eQ/oPTBYz76D+w4P4sfnQJ8Dgfv48+vHj6C/f4AIBA5EYMDgQYQIDyxk2JBhAYgRJUpcUNHiAhMBNG7k2JGjAJAhRY4UOcDkSZQpUQJg2dLlS5gAKMycWcGmTQs5c4rgKeLCz58YhAodUXREBqRINSxdSsIpiQ1Ro5agWsLBVawKtCpI0NXrVwVhFUwgSzbE2RAN1K4F0RaEBLhwP8z9EMGuXQh583rg64HBX8AdBHd4ULgwB8QcCCxm3NgxYwSRJU+WbMDyZcyYD2zm3JlzAdChRYteUNr0AhMBVK9m3Zq1ANixZc+WPcD2bdy5cQPg3dv3b+AAKAwfXsH/uHELyZOLYC7iwvPnGKRLH1F9RAbs2DVs307CO4kN4cOXIF/CwXn0CtQrSNDe/XsF8RVMoE8/xP0QDfTvB9EfBEAJAgV+KPghAkKEEBYu9ODQA4OIEjtQ7PDg4kUOGjkQ6OjxI0iPCEaSLEnSAMqUKlUeaOnypcsCMmfSpLngJs4FJgLw7Onzp08BQocSLUp0ANKkSpcqBeD0KdSoUgFQqFq1AlasFrZuFeFVxIWwYTGQJTvi7IgMatVqaNuWBFwSG+bOLWG3hIO8ehXwVZDgL+DACgYrmGDYcIjEIRowbgziMQgJkiV/qPwhAmbMEDZv9uDZA4PQojuQ7vDg9GkO/6o5EGjt+jVs1whm065N2wDu3Lp1H+jt+7fvAsKHEye+4DjyBSYCMG/u/LlzAdKnU69OfQD27Nq3awfg/Tv48OIBUChfvgJ69BbWrxfhXsSF+PEx0Kc/4v6IDPr1a+jfHyAJgSQ2FCxYAmEJBwsZKnCoIEFEiRMVVFQwASPGEBtDNPD4EURIEBJIkvxw8kMElSohtGzpAaYHBjNpdrDZ4UHOnBx4ciDwE2hQoUARFDV61KgBpUuZMj3wFGpUqAWoVrVqdUFWrQtMBPD6FWxYsALIljV71uwAtWvZtmULAG5cuXPpAqBw924FvXot9O0rArCIC4MHYzBseETiERkYM//W8PgxCckkNlSuXAJzCQebOSvwrCBBaNGjFZRWMAE16hCrQzRw/RpEbBASaNP+cPtDBN26IfTu7QG4BwbDiXcw3uFB8uQcmHMg8Bx6dOnQEVS3ft26Ae3buXM/8B18ePAFyJc3b35BevULTARw/x5+fPgC6Ne3f9/+AP37+ffnDxCAwIEECxoEQCFhwgoMGVp4+FCERBEXKlbEgBHjiI0jMnj0qCFkSBIkSWw4ebKEyhIOWrpUAFNBgpk0ayq4qWCCTp0heoZoADQoiKEgJBg1+iHphwhMmUJ4+tSDVA8MqlrtgLXDg61bOXjlQCCs2LFkxSI4izYtWgNs27p1eyD/rty5cgvYvYsX74K9fBeYCAA4sODBggUYPow4MeIBjBs7fuwYgOTJlCtbBkAhc+YKnDlb+PxZhGgRF0qXxoAa9YjVIzK4dq0hdmwStElsuH27hO4SDnr7VgBcQYLhxIsrOK5ggnLlIZqHaAA9OojpICRYt/4h+4cI3LlD+P7dg3gPDMqb74C+w4P16zm450Agvvz59OUjuI8/P34D/Pv7B2hAoIEDBQ0eNFhA4UKGDBc8hLjARACKFS1etChA40aOHTkOABlS5EiRAEyeRJlSJQAKLVtWgAnTwsyZImyKuJAzJwaePEf8HJFBqFANRYuSQEpiw9KlJZyWcBBVqgKq+woSXMWaVcFWBRO8eg0RNkQDsmVBnAUhQa3aD20/RIALF8LcuR7semCQV28Hvh0e/P3LQTAHAoUNH0ZsGMFixo0ZG4AcWbLkA5UtX7ZcQPNmzpwXfAa9wEQA0qVNnzYtQPVq1q1ZD4AdW/Zs2QBs38adWzcACr17VwAO3MLw4SKMi7iQPDkG5sxHPB+RQbp0DdWrk8BOYsP27SW8l3AQXrwC8goSnEefXsF6BRPcuw8RP0QD+vVB3AchQb/+D/0/AIwgUCCEggU9IPTAYCHDDg47PIgYkQNFDgQuYsyoESOCjh4/ejQgciRJkgdOokyJsgDLli5dLogpc0FAADs=\"/>'), FloatText(value=-2.0, description='Leftmost color maps to:', style=DescriptionStyle(description_width='initial')), FloatText(value=2.0, description='Rightmost color maps to:', style=DescriptionStyle(description_width='initial')), IntText(value=0, description='Feature to show:', style=DescriptionStyle(description_width='initial')), HBox(children=(Checkbox(value=False, description='Rotate network', layout=Layout(width='52%'), style=DescriptionStyle(description_width='initial')), Button(icon='save', layout=Layout(width='10%'), style=ButtonStyle())))), layout=Layout(width='100%')))),), selected_index=None, _titles={'0': 'LSTM'}), VBox(children=(HBox(children=(IntSlider(value=0, continuous_update=False, description='Dataset index', layout=Layout(width='100%'), max=95), Label(value='of 96', layout=Layout(width='100px'))), layout=Layout(height='40px')), HBox(children=(Button(icon='fast-backward', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='backward', layout=Layout(width='100%'), style=ButtonStyle()), IntText(value=0, layout=Layout(width='100%')), Button(icon='forward', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='fast-forward', layout=Layout(width='100%'), style=ButtonStyle()), Button(description='Play', icon='play', layout=Layout(width='100%'), style=ButtonStyle()), Button(icon='refresh', layout=Layout(width='25%'), style=ButtonStyle())), layout=Layout(height='50px', width='100%'))), layout=Layout(width='100%')), HTML(value='<p style=\"text-align:center\"><svg id=\\'LSTM\\' xmlns=\\'http://www.w3.org/2000/svg\\' image-rendering=\"pixelated\" width=\"400.0px\" height=\"297.1428571428571px\">\\n <g >\\n  <svg viewBox=\"0 0 350 260\" width=\"400.0px\" height=\"297.1428571428571px\">\\n    <defs>\\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\\n        </marker>\\n    </defs><rect x=\"149.0\" y=\"24\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-569732_output_7\" class=\"picture-dashboard-LSTM-569732_output\" x=\"150.0\" y=\"25\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\\n output range: (-Infinity, +Infinity)\\n shape = (1,)\\n Keras class = Dense</title></image><text x=\"205.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >output</text><line x1=\"175.0\" y1=\"104\" x2=\"175.0\" y2=\"77\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\\n output/kernel:0 has shape (4, 1)\\n output/bias:0 has shape (1,)</title></line><rect x=\"74.0\" y=\"104\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-569732_lstm_8\" class=\"picture-dashboard-LSTM-569732_lstm\" x=\"75.0\" y=\"105\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdh+AA+AIcAAP/9/QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAA+AA+AEAI/wADCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaJEABgzatzIsaPHjyA3BggAoKTJkyhTqlzJsiXKAAEAyJxJs6bNmzhz6qwZIACAn0CDCh1KtKjRo0IDBADAtKnTp1CjSp1K9WmAAACyat3KtavXr2DDcg0QAIDZs2jTql3Ltq3btAECAJhLt67du3jz6t1rN0AAAIADCx5MuLDhw4gHBwgAoLHjx5AjS55MuTLkAAEAaN7MubPnz6BDi+4cIACA06hTq17NurXr16oDBABAu7bt27hz697N+3aAAACCCx9OvLjx48iTEw8QAIDz59CjS59Ovbr16AECANjOvbv37+DDi/8f7z1AAADo06tfz769+/fw1wcIAKC+/fv48+vfz78/foABAgAgWNDgQYQJFS5keDBAAAARJU6kWNHiRYwZKQYIAMDjR5AhRY4kWdJkyAABAKxk2dLlS5gxZc50GSAAAJw5de7k2dPnT6A7AwQAUNToUaRJlS5l2hRpgAAApE6lWtXqVaxZtVYNEADAV7BhxY4lW9bsWbEBAgBg29btW7hx5c6l+zZAAAB59e7l29fvX8CB+QYIAMDwYcSJFS9m3Nhx4gABAEymXNnyZcyZNW+2HCAAANChRY8mXdr0adSjAwQA0Nr1a9ixZc+mXRt2gAAAdO/m3dv3b+DBhfcOEAD/wHHkyZUvZ97c+XPlAQIAoF7d+nXs2bVv5349QAAA4cWPJ1/e/Hn06ckHCADA/Xv48eXPp1/ffvwAAQDs59/fP0AAAgcSLGjwIMKEAQIAaOjwIcSIEidSrAgxQAAAGjdy7OjxI8iQIjsGCADgJMqUKleybOnypcoAAQDQrGnzJs6cOnfyvBkgAICgQocSLWr0KNKkRAMEAOD0KdSoUqdSrWo1aoAAALZy7er1K9iwYsd6DRAAANq0ateybev2Ldy1AQIAqGv3Lt68evfy7Ys3QAAAggcTLmz4MOLEigsHCADgMeTIkidTrmz5suQAAQBw7uz5M+jQokeT/hwgAIDU/6pXs27t+jXs2KwDBABg+zbu3Lp38+7tO3eAAACGEy9u/Djy5MqXGw8QAAD06NKnU69u/Tr26QECAOju/Tv48OLHky8PPkAAAOrXs2/v/j38+PLbBwgA4D7+/Pr38+/vHyAAgQMJFgwQAEBChQsZNnT4EGJEhgECALB4EWNGjRs5dvSYMUAAACNJljR5EmVKlStNBggAAGZMmTNp1rR5E+fMAAEA9PT5E2hQoUOJFgUaIAAApUuZNnX6FGpUqU0DBABwFWtWrVu5dvX6VWuAAADIljV7Fm1atWvZng0QAEBcuXPp1rV7F29eugECAPD7F3BgwYMJFzYcOEAAAIsZN/92/BhyZMmTHQcIAABzZs2bOXf2/Bn05gABAJQ2fRp1atWrWbdGHSAAANmzade2fRt3bt21AwQA8Bt4cOHDiRc3flx4gAAAmDd3/hx6dOnTqT8PEABAdu3buXf3/h18eO4BAgAwfx59evXr2bd3nz5AAADz6de3fx9/fv377QcIABCAwIEECxo8iDChwoIBAgB4CDGixIkUK1q8KDFAAAAcO3r8CDKkyJEkPwYIACClypUsW7p8CTMmywABANi8iTOnzp08e/rMGSAAgKFEixo9ijSp0qVGAwQAADWq1KlUq1q9inVqgAAAunr9Cjas2LFky4INEACA2rVs27p9Czf/rty2AQIAuIs3r969fPv6/as3QAAAhAsbPow4seLFjA8HCAAgsuTJlCtbvow5M+UAAQB4/gw6tOjRpEubDh0gAIDVrFu7fg07tuzZrgMEAIA7t+7dvHv7/g18d4AAAIobP448ufLlzJsjDxAAgPTp1Ktbv449u/bqAQIA+A4+vPjx5MubPy8+QAAA7Nu7fw8/vvz59N8HCAAgv/79/Pv7BwhA4ECCBQ0eJBggAACGDR0+hBhR4kSKDwMEAJBR40aOHT1+BBmSY4AAAEyeRJlS5UqWLV2mDBAAwEyaNW3exJlT506bAQIAABpU6FCiRY0eRTo0QAAATZ0+hRpV6lSq/1WhBggAQOtWrl29fgUbVmzXAAEAnEWbVu1atm3dvlUbIAAAunXt3sWbV+9evncDBAAQWPBgwoUNH0acmHCAAAAcP4YcWfJkypUtRw4QAMBmzp09fwYdWvRozwECAECdWvVq1q1dv4a9OkAAALVt38adW/du3r1xBwgAQPhw4sWNH0eeXHnxAAEAPIceXfp06tWtX5ceIAAA7t29fwcfXvx48t8DBACQXv169u3dv4cfn32AAADs38efX/9+/v39AwQgUGCAAAAOIkyocCHDhg4fKgwQAADFihYvYsyocSPHiwECAAgpciTJkiZPokxJMkAAAC5fwowpcybNmjZjBv8IAGAnz54+fwINKnSozwABACBNqnQp06ZOn0JdGiAAgKpWr2LNqnUr165YAwQAIHYs2bJmz6JNq7ZsgAAA3sKNK3cu3bp278oNEAAA375+/wIOLHgw4b8BAgBIrHgx48aOH0OOzDhAAACWL2POrHkz586eMwcIAGA06dKmT6NOrXq16QABAMCOLXs27dq2b+OeHSAAgN6+fwMPLnw48eLAAwQAoHw58+bOn0OPLr15gAAArmPPrn079+7ev2sPEAAA+fLmz6NPr349+/MBAgCIL38+/fr27+PPTz9AAAD+AQIQOJBgQYMHESZUKDBAAAAPIUaUOJFiRYsXJQYIAID/Y0ePH0GGFDmS5McAAQCkVLmSZUuXL2HGZBkgAACbN3Hm1LmTZ0+fOQMEADCUaFGjR5EmVbrUaIAAAKBGlTqValWrV7FODRAAQFevX8GGFTuWbFmwAQIAULuWbVu3b+HGlds2QAAAd/Hm1buXb1+/f/UGCACAcGHDhxEnVryY8eEAAQBEljyZcmXLlzFnphwgAADPn0GHFj2adGnToQMEALCadWvXr2HHlj3bdYAAAHDn1r2bd2/fv4HvDhAAQHHjx5EnV76ceXPkAQIAkD6denXr17Fn1149QAAA38GHFz+efHnz58UHCACAfXv37+HHlz+f/vsAAQDk17+ff3///wABCBxIsKDBgwQDBADAsKHDhxAjSpxI8WGAAAAyatzIsaPHjyBDcgwQAIDJkyhTqlzJsqXLlAECAJhJs6bNmzhz6txpM0AAAECDCh1KtKjRo0iHBggAoKnTp1CjSp1KtSrUAAEAaN3KtavXr2DDiu0aIACAs2jTql3Ltq3bt2oDBABAt67du3jz6t3L926AAAACCx5MuLDhw4gTEw4QAIDjx5AjS55MubLlyAECANjMubPnz6BDix7tOUAAAKhTq17NurXr17BXBwgAoLbt27hz697NuzfuAAEACB9OvLjx48iTKy8eIACA59CjS59Ovbr169IDBADAvbv37+DDi/8fT/57gAAA0qtfz769+/fw47MPEACA/fv48+vfz7+/f4AABAoMEADAQYQJFS5k2NDhQ4UBAgCgWNHiRYwZNW7keDFAAAAhRY4kWdLkSZQpSQYIAMDlS5gxZc6kWdNmzAABAOzk2dPnT6BBhQ71GSAAAKRJlS5l2tTpU6hLAwQAUNXqVaxZtW7l2hVrgAAAxI4lW9bsWbRp1ZYNEADAW7hx5c6lW9fuXbkBAgDg29fvX8CBBQ8m/DdAAACJFS9m3NjxY8iRGQcIAMDyZcyZNW/m3Nlz5gABAIwmXdr0adSpVa82HSAAANixZc+mXdv2bdyzAwQA0Nv3b+DBhQ8nXhz/eIAAAJQvZ97c+XPo0aU3DxAAwHXs2bVv597d+3ftAQIAIF/e/Hn06dWvZ38+QAAA8eXPp1/f/n38+ekHCADAP0AAAgcSLGjwIMKECgUGCADgIcSIEidSrGjxosQAAQBw7OjxI8iQIkeS/BggAICUKleybOnyJcyYLAMEAGDzJs6cOnfy7OkzZ4AAAIYSLWr0KNKkSpcaDRAAANSoUqdSrWr1KtapAQIA6Or1K9iwYseSLQs2QAAAateybev2Ldy4ctsGCADgLt68evfy7ev3r94AAQAQLmz4MOLEihczPhwgAIDIkidTrmz5MubMlAMEAOD5M+jQokeTLm06dIAA/wBWs27t+jXs2LJnuw4QAADu3Lp38+7t+zfw3QECAChu/Djy5MqXM2+OPEAAANKnU69u/Tr27NqrBwgA4Dv48OLHky9v/rz4AAEAsG/v/j38+PLn038fIACA/Pr38+/vHyAAgQMJFjR4kGCAAAAYNnT4EGJEiRMpPgwQAEBGjRs5dvT4EWRIjgECADB5EmVKlStZtnSZMkAAADNp1rR5E2dOnTttBggAAGhQoUOJFjV6FOnQAAEANHX6FGpUqVOpVoUaIAAArVu5dvX6FWxYsV0DBABwFm1atWvZtnX7Vm2AAADo1rV7F29evXv53g0QAEBgwYMJFzZ8GHFiwgECAP9w/BhyZMmTKVe2HDlAAACbOXf2/Bl0aNGjPQcIAAB1atWrWbd2/Rr26gABANS2fRt3bt27effGHSAAAOHDiRc3fhx5cuXFAwQA8Bx6dOnTqVe3fl16gAAAuHf3/h18ePHjyX8PEABAevXr2bd3/x5+fPYBAgCwfx9/fv37+ff3DxCAQIEBAgA4iDChwoUMGzp8qDBAAAAUK1q8iDGjxo0cLwYIACCkyJEkS5o8iTIlyQABALh8CTOmzJk0a9qMGSAAgJ08e/r8CTSo0KE+AwQAgDSp0qVMmzp9CnVpgAAAqlq9ijWr1q1cu2INEACA2LFky5o9izat2rIBAgB4Czcjrty5dOvavSs3gN69fPv6/Qs4sODBhAsbPow4seLFjBsrDggAOw==\"><title>Layer: lstm (hidden)\\n output range: (-Infinity, +Infinity)\\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"132.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >lstm</text><line x1=\"175.0\" y1=\"184\" x2=\"175.0\" y2=\"157\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\\n lstm/kernel:0 has shape (1, 16)\\n lstm/recurrent_kernel:0 has shape (4, 16)\\n lstm/bias:0 has shape (16,)</title></line><rect x=\"149.0\" y=\"184\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-569732_input_9\" class=\"picture-dashboard-LSTM-569732_input\" x=\"150.0\" y=\"185\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAAICAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAIZgABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVqxADAgA7\"><title>Layer: input (input)\\n output range: (0.0, 1.0)\\n shape = (1,)\\n Keras class = Input\\n batch_shape = (1, 1, 1)</title></image><text x=\"205.0\" y=\"212.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >input</text><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\" >LSTM</text></svg></g></svg></p>', layout=Layout(justify_content='center', overflow_x='auto', overflow_y='auto', width='95%')), Output()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dash3 = net3.dashboard()\n",
    "dash"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 720 288\" width=\"720pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <defs>\n",
       "  <style type=\"text/css\">\n",
       "*{stroke-linecap:butt;stroke-linejoin:round;}\n",
       "  </style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288  L 720 288  L 720 0  L 0 0  z \" style=\"fill:#ffffff;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 90 252  L 343.636364 252  L 343.636364 34.56  L 90 34.56  z \" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0  L 0 3.5  \" id=\"mb70cbba13a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"101.528926\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 0 -->\n",
       "      <defs>\n",
       "       <path d=\"M 31.78125 66.40625  Q 24.171875 66.40625 20.328125 58.90625  Q 16.5 51.421875 16.5 36.375  Q 16.5 21.390625 20.328125 13.890625  Q 24.171875 6.390625 31.78125 6.390625  Q 39.453125 6.390625 43.28125 13.890625  Q 47.125 21.390625 47.125 36.375  Q 47.125 51.421875 43.28125 58.90625  Q 39.453125 66.40625 31.78125 66.40625  z M 31.78125 74.21875  Q 44.046875 74.21875 50.515625 64.515625  Q 56.984375 54.828125 56.984375 36.375  Q 56.984375 17.96875 50.515625 8.265625  Q 44.046875 -1.421875 31.78125 -1.421875  Q 19.53125 -1.421875 13.0625 8.265625  Q 6.59375 17.96875 6.59375 36.375  Q 6.59375 54.828125 13.0625 64.515625  Q 19.53125 74.21875 31.78125 74.21875  z \" id=\"DejaVuSans-30\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(98.347676 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"147.644628\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 20 -->\n",
       "      <defs>\n",
       "       <path d=\"M 19.1875 8.296875  L 53.609375 8.296875  L 53.609375 0  L 7.328125 0  L 7.328125 8.296875  Q 12.9375 14.109375 22.625 23.890625  Q 32.328125 33.6875 34.8125 36.53125  Q 39.546875 41.84375 41.421875 45.53125  Q 43.3125 49.21875 43.3125 52.78125  Q 43.3125 58.59375 39.234375 62.25  Q 35.15625 65.921875 28.609375 65.921875  Q 23.96875 65.921875 18.8125 64.3125  Q 13.671875 62.703125 7.8125 59.421875  L 7.8125 69.390625  Q 13.765625 71.78125 18.9375 73  Q 24.125 74.21875 28.421875 74.21875  Q 39.75 74.21875 46.484375 68.546875  Q 53.21875 62.890625 53.21875 53.421875  Q 53.21875 48.921875 51.53125 44.890625  Q 49.859375 40.875 45.40625 35.40625  Q 44.1875 33.984375 37.640625 27.21875  Q 31.109375 20.453125 19.1875 8.296875  z \" id=\"DejaVuSans-32\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(141.282128 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"193.760331\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 40 -->\n",
       "      <defs>\n",
       "       <path d=\"M 37.796875 64.3125  L 12.890625 25.390625  L 37.796875 25.390625  z M 35.203125 72.90625  L 47.609375 72.90625  L 47.609375 25.390625  L 58.015625 25.390625  L 58.015625 17.1875  L 47.609375 17.1875  L 47.609375 0  L 37.796875 0  L 37.796875 17.1875  L 4.890625 17.1875  L 4.890625 26.703125  z \" id=\"DejaVuSans-34\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(187.397831 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"239.876033\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 60 -->\n",
       "      <defs>\n",
       "       <path d=\"M 33.015625 40.375  Q 26.375 40.375 22.484375 35.828125  Q 18.609375 31.296875 18.609375 23.390625  Q 18.609375 15.53125 22.484375 10.953125  Q 26.375 6.390625 33.015625 6.390625  Q 39.65625 6.390625 43.53125 10.953125  Q 47.40625 15.53125 47.40625 23.390625  Q 47.40625 31.296875 43.53125 35.828125  Q 39.65625 40.375 33.015625 40.375  z M 52.59375 71.296875  L 52.59375 62.3125  Q 48.875 64.0625 45.09375 64.984375  Q 41.3125 65.921875 37.59375 65.921875  Q 27.828125 65.921875 22.671875 59.328125  Q 17.53125 52.734375 16.796875 39.40625  Q 19.671875 43.65625 24.015625 45.921875  Q 28.375 48.1875 33.59375 48.1875  Q 44.578125 48.1875 50.953125 41.515625  Q 57.328125 34.859375 57.328125 23.390625  Q 57.328125 12.15625 50.6875 5.359375  Q 44.046875 -1.421875 33.015625 -1.421875  Q 20.359375 -1.421875 13.671875 8.265625  Q 6.984375 17.96875 6.984375 36.375  Q 6.984375 53.65625 15.1875 63.9375  Q 23.390625 74.21875 37.203125 74.21875  Q 40.921875 74.21875 44.703125 73.484375  Q 48.484375 72.75 52.59375 71.296875  z \" id=\"DejaVuSans-36\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(233.513533 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"285.991736\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 80 -->\n",
       "      <defs>\n",
       "       <path d=\"M 31.78125 34.625  Q 24.75 34.625 20.71875 30.859375  Q 16.703125 27.09375 16.703125 20.515625  Q 16.703125 13.921875 20.71875 10.15625  Q 24.75 6.390625 31.78125 6.390625  Q 38.8125 6.390625 42.859375 10.171875  Q 46.921875 13.96875 46.921875 20.515625  Q 46.921875 27.09375 42.890625 30.859375  Q 38.875 34.625 31.78125 34.625  z M 21.921875 38.8125  Q 15.578125 40.375 12.03125 44.71875  Q 8.5 49.078125 8.5 55.328125  Q 8.5 64.0625 14.71875 69.140625  Q 20.953125 74.21875 31.78125 74.21875  Q 42.671875 74.21875 48.875 69.140625  Q 55.078125 64.0625 55.078125 55.328125  Q 55.078125 49.078125 51.53125 44.71875  Q 48 40.375 41.703125 38.8125  Q 48.828125 37.15625 52.796875 32.3125  Q 56.78125 27.484375 56.78125 20.515625  Q 56.78125 9.90625 50.3125 4.234375  Q 43.84375 -1.421875 31.78125 -1.421875  Q 19.734375 -1.421875 13.25 4.234375  Q 6.78125 9.90625 6.78125 20.515625  Q 6.78125 27.484375 10.78125 32.3125  Q 14.796875 37.15625 21.921875 38.8125  z M 18.3125 54.390625  Q 18.3125 48.734375 21.84375 45.5625  Q 25.390625 42.390625 31.78125 42.390625  Q 38.140625 42.390625 41.71875 45.5625  Q 45.3125 48.734375 45.3125 54.390625  Q 45.3125 60.0625 41.71875 63.234375  Q 38.140625 66.40625 31.78125 66.40625  Q 25.390625 66.40625 21.84375 63.234375  Q 18.3125 60.0625 18.3125 54.390625  z \" id=\"DejaVuSans-38\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(279.629236 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_6\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"332.107438\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_6\">\n",
       "      <!-- 100 -->\n",
       "      <defs>\n",
       "       <path d=\"M 12.40625 8.296875  L 28.515625 8.296875  L 28.515625 63.921875  L 10.984375 60.40625  L 10.984375 69.390625  L 28.421875 72.90625  L 38.28125 72.90625  L 38.28125 8.296875  L 54.390625 8.296875  L 54.390625 0  L 12.40625 0  z \" id=\"DejaVuSans-31\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(322.563688 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_7\">\n",
       "     <!-- Epoch -->\n",
       "     <defs>\n",
       "      <path d=\"M 9.8125 72.90625  L 55.90625 72.90625  L 55.90625 64.59375  L 19.671875 64.59375  L 19.671875 43.015625  L 54.390625 43.015625  L 54.390625 34.71875  L 19.671875 34.71875  L 19.671875 8.296875  L 56.78125 8.296875  L 56.78125 0  L 9.8125 0  z \" id=\"DejaVuSans-45\"/>\n",
       "      <path d=\"M 18.109375 8.203125  L 18.109375 -20.796875  L 9.078125 -20.796875  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  z M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z \" id=\"DejaVuSans-70\"/>\n",
       "      <path d=\"M 30.609375 48.390625  Q 23.390625 48.390625 19.1875 42.75  Q 14.984375 37.109375 14.984375 27.296875  Q 14.984375 17.484375 19.15625 11.84375  Q 23.34375 6.203125 30.609375 6.203125  Q 37.796875 6.203125 41.984375 11.859375  Q 46.1875 17.53125 46.1875 27.296875  Q 46.1875 37.015625 41.984375 42.703125  Q 37.796875 48.390625 30.609375 48.390625  z M 30.609375 56  Q 42.328125 56 49.015625 48.375  Q 55.71875 40.765625 55.71875 27.296875  Q 55.71875 13.875 49.015625 6.21875  Q 42.328125 -1.421875 30.609375 -1.421875  Q 18.84375 -1.421875 12.171875 6.21875  Q 5.515625 13.875 5.515625 27.296875  Q 5.515625 40.765625 12.171875 48.375  Q 18.84375 56 30.609375 56  z \" id=\"DejaVuSans-6f\"/>\n",
       "      <path d=\"M 48.78125 52.59375  L 48.78125 44.1875  Q 44.96875 46.296875 41.140625 47.34375  Q 37.3125 48.390625 33.40625 48.390625  Q 24.65625 48.390625 19.8125 42.84375  Q 14.984375 37.3125 14.984375 27.296875  Q 14.984375 17.28125 19.8125 11.734375  Q 24.65625 6.203125 33.40625 6.203125  Q 37.3125 6.203125 41.140625 7.25  Q 44.96875 8.296875 48.78125 10.40625  L 48.78125 2.09375  Q 45.015625 0.34375 40.984375 -0.53125  Q 36.96875 -1.421875 32.421875 -1.421875  Q 20.0625 -1.421875 12.78125 6.34375  Q 5.515625 14.109375 5.515625 27.296875  Q 5.515625 40.671875 12.859375 48.328125  Q 20.21875 56 33.015625 56  Q 37.15625 56 41.109375 55.140625  Q 45.0625 54.296875 48.78125 52.59375  z \" id=\"DejaVuSans-63\"/>\n",
       "      <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-68\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(201.507244 280.276563)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-45\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n",
       "      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m7ec9ae7785\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#m7ec9ae7785\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_8\">\n",
       "      <!-- 0.0 -->\n",
       "      <defs>\n",
       "       <path d=\"M 10.6875 12.40625  L 21 12.40625  L 21 0  L 10.6875 0  z \" id=\"DejaVuSans-2e\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(67.096875 255.799219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#m7ec9ae7785\" y=\"205.331678\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 0.1 -->\n",
       "      <g transform=\"translate(67.096875 209.130896)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#m7ec9ae7785\" y=\"158.663355\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 0.2 -->\n",
       "      <g transform=\"translate(67.096875 162.462574)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#m7ec9ae7785\" y=\"111.995033\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 0.3 -->\n",
       "      <defs>\n",
       "       <path d=\"M 40.578125 39.3125  Q 47.65625 37.796875 51.625 33  Q 55.609375 28.21875 55.609375 21.1875  Q 55.609375 10.40625 48.1875 4.484375  Q 40.765625 -1.421875 27.09375 -1.421875  Q 22.515625 -1.421875 17.65625 -0.515625  Q 12.796875 0.390625 7.625 2.203125  L 7.625 11.71875  Q 11.71875 9.328125 16.59375 8.109375  Q 21.484375 6.890625 26.8125 6.890625  Q 36.078125 6.890625 40.9375 10.546875  Q 45.796875 14.203125 45.796875 21.1875  Q 45.796875 27.640625 41.28125 31.265625  Q 36.765625 34.90625 28.71875 34.90625  L 20.21875 34.90625  L 20.21875 43.015625  L 29.109375 43.015625  Q 36.375 43.015625 40.234375 45.921875  Q 44.09375 48.828125 44.09375 54.296875  Q 44.09375 59.90625 40.109375 62.90625  Q 36.140625 65.921875 28.71875 65.921875  Q 24.65625 65.921875 20.015625 65.03125  Q 15.375 64.15625 9.8125 62.3125  L 9.8125 71.09375  Q 15.4375 72.65625 20.34375 73.4375  Q 25.25 74.21875 29.59375 74.21875  Q 40.828125 74.21875 47.359375 69.109375  Q 53.90625 64.015625 53.90625 55.328125  Q 53.90625 49.265625 50.4375 45.09375  Q 46.96875 40.921875 40.578125 39.3125  z \" id=\"DejaVuSans-33\"/>\n",
       "      </defs>\n",
       "      <g transform=\"translate(67.096875 115.794251)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90\" xlink:href=\"#m7ec9ae7785\" y=\"65.32671\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 0.4 -->\n",
       "      <g transform=\"translate(67.096875 69.125929)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_12\">\n",
       "    <path clip-path=\"url(#p107ad03695)\" d=\"M 101.528926 215.793729  L 103.834711 249.127898  L 106.140496 243.624316  L 108.446281 245.799041  L 110.752066 246.728809  L 113.057851 247.277704  L 115.363636 247.675679  L 117.669421 247.977901  L 119.975207 248.216726  L 122.280992 248.416279  L 124.586777 248.578361  L 126.892562 248.726735  L 129.198347 248.860438  L 131.504132 248.980989  L 133.809917 249.088748  L 136.115702 249.181924  L 138.421488 249.269665  L 140.727273 249.347123  L 143.033058 249.418409  L 145.338843 249.487463  L 147.644628 249.555904  L 149.950413 249.620084  L 152.256198 249.680993  L 154.561983 249.736285  L 156.867769 249.7889  L 159.173554 249.838357  L 161.479339 249.883848  L 163.785124 249.926682  L 166.090909 249.968706  L 168.396694 250.008963  L 170.702479 250.050578  L 173.008264 250.091472  L 175.31405 250.12899  L 177.619835 250.167303  L 179.92562 250.204814  L 182.231405 250.238515  L 184.53719 250.272019  L 186.842975 250.306883  L 189.14876 250.340314  L 191.454545 250.372166  L 193.760331 250.4008  L 196.066116 250.429474  L 198.371901 250.457145  L 200.677686 250.483243  L 202.983471 250.507882  L 205.289256 250.531811  L 207.595041 250.554095  L 209.900826 250.575746  L 212.206612 250.597843  L 214.512397 250.615792  L 216.818182 250.634379  L 219.123967 250.653257  L 221.429752 250.668871  L 223.735537 250.685377  L 226.041322 250.700076  L 228.347107 250.714606  L 230.652893 250.729014  L 232.958678 250.743127  L 235.264463 250.756549  L 237.570248 250.769448  L 239.876033 250.782167  L 242.181818 250.793993  L 244.487603 250.805873  L 246.793388 250.818464  L 249.099174 250.829485  L 251.404959 250.840327  L 253.710744 250.851525  L 256.016529 250.862198  L 258.322314 250.871961  L 260.628099 250.880898  L 262.933884 250.890965  L 265.239669 250.900266  L 267.545455 250.908298  L 269.85124 250.916744  L 272.157025 250.925916  L 274.46281 250.933602  L 276.768595 250.942242  L 279.07438 250.948962  L 281.380165 250.955892  L 283.68595 250.963443  L 285.991736 250.969378  L 288.297521 250.976156  L 290.603306 250.982043  L 292.909091 250.988129  L 295.214876 250.994122  L 297.520661 250.999734  L 299.826446 251.005051  L 302.132231 251.01089  L 304.438017 251.015915  L 306.743802 251.021031  L 309.049587 251.025919  L 311.355372 251.03043  L 313.661157 251.035034  L 315.966942 251.040097  L 318.272727 251.044342  L 320.578512 251.048971  L 322.884298 251.053363  L 325.190083 251.057396  L 327.495868 251.061766  L 329.801653 251.065697  L 332.107438 251.069471  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_13\">\n",
       "    <path clip-path=\"url(#p107ad03695)\" d=\"M 101.528926 44.869975  L 103.834711 238.263868  L 106.140496 236.932373  L 108.446281 238.737669  L 110.752066 240.036947  L 113.057851 240.769636  L 115.363636 241.253098  L 117.669421 241.596328  L 119.975207 241.829296  L 122.280992 242.036524  L 124.586777 242.163572  L 126.892562 242.264682  L 129.198347 242.357781  L 131.504132 242.444848  L 133.809917 242.554532  L 136.115702 242.637733  L 138.421488 242.732293  L 140.727273 242.818493  L 143.033058 242.900505  L 145.338843 242.968584  L 147.644628 243.049662  L 149.950413 243.134878  L 152.256198 243.225327  L 154.561983 243.324955  L 156.867769 243.414316  L 159.173554 243.510564  L 161.479339 243.603949  L 163.785124 243.689215  L 166.090909 243.770201  L 168.396694 243.852955  L 170.702479 243.930031  L 173.008264 244.009658  L 175.31405 244.097575  L 177.619835 244.176447  L 179.92562 244.256706  L 182.231405 244.339768  L 184.53719 244.416048  L 186.842975 244.485749  L 189.14876 244.559274  L 191.454545 244.63233  L 193.760331 244.706494  L 196.066116 244.776349  L 198.371901 244.839414  L 200.677686 244.904199  L 202.983471 244.966401  L 205.289256 245.028829  L 207.595041 245.089241  L 209.900826 245.147523  L 212.206612 245.204838  L 214.512397 245.263073  L 216.818182 245.317071  L 219.123967 245.367879  L 221.429752 245.420249  L 223.735537 245.470657  L 226.041322 245.516451  L 228.347107 245.564228  L 230.652893 245.60747  L 232.958678 245.647824  L 235.264463 245.68586  L 237.570248 245.725478  L 239.876033 245.765034  L 242.181818 245.804289  L 244.487603 245.83988  L 246.793388 245.874863  L 249.099174 245.910434  L 251.404959 245.954349  L 253.710744 245.997083  L 256.016529 246.042536  L 258.322314 246.08527  L 260.628099 246.137164  L 262.933884 246.176273  L 265.239669 246.222511  L 267.545455 246.268179  L 269.85124 246.314443  L 272.157025 246.358912  L 274.46281 246.406098  L 276.768595 246.450577  L 279.07438 246.494916  L 281.380165 246.533566  L 283.68595 246.580418  L 285.991736 246.625051  L 288.297521 246.666052  L 290.603306 246.707433  L 292.909091 246.747281  L 295.214876 246.78606  L 297.520661 246.824674  L 299.826446 246.861649  L 302.132231 246.896812  L 304.438017 246.931227  L 306.743802 246.964539  L 309.049587 246.998316  L 311.355372 247.030336  L 313.661157 247.061492  L 315.966942 247.089044  L 318.272727 247.120109  L 320.578512 247.147159  L 322.884298 247.174811  L 325.190083 247.199683  L 327.495868 247.226772  L 329.801653 247.249784  L 332.107438 247.264697  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 90 252  L 90 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 343.636364 252  L 343.636364 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 90 252  L 343.636364 252  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 90 34.56  L 343.636364 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_13\">\n",
       "    <!-- LSTM with Window and State: Error -->\n",
       "    <defs>\n",
       "     <path d=\"M 9.8125 72.90625  L 19.671875 72.90625  L 19.671875 8.296875  L 55.171875 8.296875  L 55.171875 0  L 9.8125 0  z \" id=\"DejaVuSans-4c\"/>\n",
       "     <path d=\"M 53.515625 70.515625  L 53.515625 60.890625  Q 47.90625 63.578125 42.921875 64.890625  Q 37.9375 66.21875 33.296875 66.21875  Q 25.25 66.21875 20.875 63.09375  Q 16.5 59.96875 16.5 54.203125  Q 16.5 49.359375 19.40625 46.890625  Q 22.3125 44.4375 30.421875 42.921875  L 36.375 41.703125  Q 47.40625 39.59375 52.65625 34.296875  Q 57.90625 29 57.90625 20.125  Q 57.90625 9.515625 50.796875 4.046875  Q 43.703125 -1.421875 29.984375 -1.421875  Q 24.8125 -1.421875 18.96875 -0.25  Q 13.140625 0.921875 6.890625 3.21875  L 6.890625 13.375  Q 12.890625 10.015625 18.65625 8.296875  Q 24.421875 6.59375 29.984375 6.59375  Q 38.421875 6.59375 43.015625 9.90625  Q 47.609375 13.234375 47.609375 19.390625  Q 47.609375 24.75 44.3125 27.78125  Q 41.015625 30.8125 33.5 32.328125  L 27.484375 33.5  Q 16.453125 35.6875 11.515625 40.375  Q 6.59375 45.0625 6.59375 53.421875  Q 6.59375 63.09375 13.40625 68.65625  Q 20.21875 74.21875 32.171875 74.21875  Q 37.3125 74.21875 42.625 73.28125  Q 47.953125 72.359375 53.515625 70.515625  z \" id=\"DejaVuSans-53\"/>\n",
       "     <path d=\"M -0.296875 72.90625  L 61.375 72.90625  L 61.375 64.59375  L 35.5 64.59375  L 35.5 0  L 25.59375 0  L 25.59375 64.59375  L -0.296875 64.59375  z \" id=\"DejaVuSans-54\"/>\n",
       "     <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-4d\"/>\n",
       "     <path id=\"DejaVuSans-20\"/>\n",
       "     <path d=\"M 4.203125 54.6875  L 13.1875 54.6875  L 24.421875 12.015625  L 35.59375 54.6875  L 46.1875 54.6875  L 57.421875 12.015625  L 68.609375 54.6875  L 77.59375 54.6875  L 63.28125 0  L 52.6875 0  L 40.921875 44.828125  L 29.109375 0  L 18.5 0  z \" id=\"DejaVuSans-77\"/>\n",
       "     <path d=\"M 9.421875 54.6875  L 18.40625 54.6875  L 18.40625 0  L 9.421875 0  z M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 64.59375  L 9.421875 64.59375  z \" id=\"DejaVuSans-69\"/>\n",
       "     <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-74\"/>\n",
       "     <path d=\"M 3.328125 72.90625  L 13.28125 72.90625  L 28.609375 11.28125  L 43.890625 72.90625  L 54.984375 72.90625  L 70.3125 11.28125  L 85.59375 72.90625  L 95.609375 72.90625  L 77.296875 0  L 64.890625 0  L 49.515625 63.28125  L 33.984375 0  L 21.578125 0  z \" id=\"DejaVuSans-57\"/>\n",
       "     <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-6e\"/>\n",
       "     <path d=\"M 45.40625 46.390625  L 45.40625 75.984375  L 54.390625 75.984375  L 54.390625 0  L 45.40625 0  L 45.40625 8.203125  Q 42.578125 3.328125 38.25 0.953125  Q 33.9375 -1.421875 27.875 -1.421875  Q 17.96875 -1.421875 11.734375 6.484375  Q 5.515625 14.40625 5.515625 27.296875  Q 5.515625 40.1875 11.734375 48.09375  Q 17.96875 56 27.875 56  Q 33.9375 56 38.25 53.625  Q 42.578125 51.265625 45.40625 46.390625  z M 14.796875 27.296875  Q 14.796875 17.390625 18.875 11.75  Q 22.953125 6.109375 30.078125 6.109375  Q 37.203125 6.109375 41.296875 11.75  Q 45.40625 17.390625 45.40625 27.296875  Q 45.40625 37.203125 41.296875 42.84375  Q 37.203125 48.484375 30.078125 48.484375  Q 22.953125 48.484375 18.875 42.84375  Q 14.796875 37.203125 14.796875 27.296875  z \" id=\"DejaVuSans-64\"/>\n",
       "     <path d=\"M 34.28125 27.484375  Q 23.390625 27.484375 19.1875 25  Q 14.984375 22.515625 14.984375 16.5  Q 14.984375 11.71875 18.140625 8.90625  Q 21.296875 6.109375 26.703125 6.109375  Q 34.1875 6.109375 38.703125 11.40625  Q 43.21875 16.703125 43.21875 25.484375  L 43.21875 27.484375  z M 52.203125 31.203125  L 52.203125 0  L 43.21875 0  L 43.21875 8.296875  Q 40.140625 3.328125 35.546875 0.953125  Q 30.953125 -1.421875 24.3125 -1.421875  Q 15.921875 -1.421875 10.953125 3.296875  Q 6 8.015625 6 15.921875  Q 6 25.140625 12.171875 29.828125  Q 18.359375 34.515625 30.609375 34.515625  L 43.21875 34.515625  L 43.21875 35.40625  Q 43.21875 41.609375 39.140625 45  Q 35.0625 48.390625 27.6875 48.390625  Q 23 48.390625 18.546875 47.265625  Q 14.109375 46.140625 10.015625 43.890625  L 10.015625 52.203125  Q 14.9375 54.109375 19.578125 55.046875  Q 24.21875 56 28.609375 56  Q 40.484375 56 46.34375 49.84375  Q 52.203125 43.703125 52.203125 31.203125  z \" id=\"DejaVuSans-61\"/>\n",
       "     <path d=\"M 56.203125 29.59375  L 56.203125 25.203125  L 14.890625 25.203125  Q 15.484375 15.921875 20.484375 11.0625  Q 25.484375 6.203125 34.421875 6.203125  Q 39.59375 6.203125 44.453125 7.46875  Q 49.3125 8.734375 54.109375 11.28125  L 54.109375 2.78125  Q 49.265625 0.734375 44.1875 -0.34375  Q 39.109375 -1.421875 33.890625 -1.421875  Q 20.796875 -1.421875 13.15625 6.1875  Q 5.515625 13.8125 5.515625 26.8125  Q 5.515625 40.234375 12.765625 48.109375  Q 20.015625 56 32.328125 56  Q 43.359375 56 49.78125 48.890625  Q 56.203125 41.796875 56.203125 29.59375  z M 47.21875 32.234375  Q 47.125 39.59375 43.09375 43.984375  Q 39.0625 48.390625 32.421875 48.390625  Q 24.90625 48.390625 20.390625 44.140625  Q 15.875 39.890625 15.1875 32.171875  z \" id=\"DejaVuSans-65\"/>\n",
       "     <path d=\"M 11.71875 12.40625  L 22.015625 12.40625  L 22.015625 0  L 11.71875 0  z M 11.71875 51.703125  L 22.015625 51.703125  L 22.015625 39.3125  L 11.71875 39.3125  z \" id=\"DejaVuSans-3a\"/>\n",
       "     <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-72\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(110.723182 28.56)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#DejaVuSans-4c\"/>\n",
       "     <use x=\"55.712891\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"119.189453\" xlink:href=\"#DejaVuSans-54\"/>\n",
       "     <use x=\"180.273438\" xlink:href=\"#DejaVuSans-4d\"/>\n",
       "     <use x=\"266.552734\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"298.339844\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"380.126953\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"407.910156\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"447.119141\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     <use x=\"510.498047\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"542.285156\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"641.130859\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"668.914062\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "     <use x=\"732.292969\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "     <use x=\"795.769531\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "     <use x=\"856.951172\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"938.738281\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"970.525391\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "     <use x=\"1031.804688\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "     <use x=\"1095.183594\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "     <use x=\"1158.660156\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"1190.447266\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"1253.923828\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"1293.132812\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "     <use x=\"1354.412109\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"1393.621094\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "     <use x=\"1455.144531\" xlink:href=\"#DejaVuSans-3a\"/>\n",
       "     <use x=\"1488.835938\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"1520.623047\" xlink:href=\"#DejaVuSans-45\"/>\n",
       "     <use x=\"1583.806641\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"1624.904297\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"1665.986328\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "     <use x=\"1727.167969\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"legend_1\">\n",
       "    <g id=\"patch_7\">\n",
       "     <path d=\"M 236.030114 71.91625  L 336.636364 71.91625  Q 338.636364 71.91625 338.636364 69.91625  L 338.636364 41.56  Q 338.636364 39.56 336.636364 39.56  L 236.030114 39.56  Q 234.030114 39.56 234.030114 41.56  L 234.030114 69.91625  Q 234.030114 71.91625 236.030114 71.91625  z \" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_14\">\n",
       "     <path d=\"M 238.030114 47.658437  L 258.030114 47.658437  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_15\"/>\n",
       "    <g id=\"text_14\">\n",
       "     <!-- Training set -->\n",
       "     <defs>\n",
       "      <path d=\"M 45.40625 27.984375  Q 45.40625 37.75 41.375 43.109375  Q 37.359375 48.484375 30.078125 48.484375  Q 22.859375 48.484375 18.828125 43.109375  Q 14.796875 37.75 14.796875 27.984375  Q 14.796875 18.265625 18.828125 12.890625  Q 22.859375 7.515625 30.078125 7.515625  Q 37.359375 7.515625 41.375 12.890625  Q 45.40625 18.265625 45.40625 27.984375  z M 54.390625 6.78125  Q 54.390625 -7.171875 48.1875 -13.984375  Q 42 -20.796875 29.203125 -20.796875  Q 24.46875 -20.796875 20.265625 -20.09375  Q 16.0625 -19.390625 12.109375 -17.921875  L 12.109375 -9.1875  Q 16.0625 -11.328125 19.921875 -12.34375  Q 23.78125 -13.375 27.78125 -13.375  Q 36.625 -13.375 41.015625 -8.765625  Q 45.40625 -4.15625 45.40625 5.171875  L 45.40625 9.625  Q 42.625 4.78125 38.28125 2.390625  Q 33.9375 0 27.875 0  Q 17.828125 0 11.671875 7.65625  Q 5.515625 15.328125 5.515625 27.984375  Q 5.515625 40.671875 11.671875 48.328125  Q 17.828125 56 27.875 56  Q 33.9375 56 38.28125 53.609375  Q 42.625 51.21875 45.40625 46.390625  L 45.40625 54.6875  L 54.390625 54.6875  z \" id=\"DejaVuSans-67\"/>\n",
       "      <path d=\"M 44.28125 53.078125  L 44.28125 44.578125  Q 40.484375 46.53125 36.375 47.5  Q 32.28125 48.484375 27.875 48.484375  Q 21.1875 48.484375 17.84375 46.4375  Q 14.5 44.390625 14.5 40.28125  Q 14.5 37.15625 16.890625 35.375  Q 19.28125 33.59375 26.515625 31.984375  L 29.59375 31.296875  Q 39.15625 29.25 43.1875 25.515625  Q 47.21875 21.78125 47.21875 15.09375  Q 47.21875 7.46875 41.1875 3.015625  Q 35.15625 -1.421875 24.609375 -1.421875  Q 20.21875 -1.421875 15.453125 -0.5625  Q 10.6875 0.296875 5.421875 2  L 5.421875 11.28125  Q 10.40625 8.6875 15.234375 7.390625  Q 20.0625 6.109375 24.8125 6.109375  Q 31.15625 6.109375 34.5625 8.28125  Q 37.984375 10.453125 37.984375 14.40625  Q 37.984375 18.0625 35.515625 20.015625  Q 33.0625 21.96875 24.703125 23.78125  L 21.578125 24.515625  Q 13.234375 26.265625 9.515625 29.90625  Q 5.8125 33.546875 5.8125 39.890625  Q 5.8125 47.609375 11.28125 51.796875  Q 16.75 56 26.8125 56  Q 31.78125 56 36.171875 55.265625  Q 40.578125 54.546875 44.28125 53.078125  z \" id=\"DejaVuSans-73\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(266.030114 51.158437)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      <use x=\"60.865234\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "      <use x=\"101.978516\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"163.257812\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"191.041016\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"254.419922\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"282.203125\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"345.582031\" xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"409.058594\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"440.845703\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"492.945312\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"554.46875\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"line2d_16\">\n",
       "     <path d=\"M 238.030114 62.336562  L 258.030114 62.336562  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_17\"/>\n",
       "    <g id=\"text_15\">\n",
       "     <!-- Validation set -->\n",
       "     <defs>\n",
       "      <path d=\"M 28.609375 0  L 0.78125 72.90625  L 11.078125 72.90625  L 34.1875 11.53125  L 57.328125 72.90625  L 67.578125 72.90625  L 39.796875 0  z \" id=\"DejaVuSans-56\"/>\n",
       "      <path d=\"M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 0  L 9.421875 0  z \" id=\"DejaVuSans-6c\"/>\n",
       "     </defs>\n",
       "     <g transform=\"translate(266.030114 65.836562)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      <use x=\"68.298828\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"129.578125\" xlink:href=\"#DejaVuSans-6c\"/>\n",
       "      <use x=\"157.361328\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"185.144531\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "      <use x=\"248.621094\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"309.900391\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "      <use x=\"349.109375\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"376.892578\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"438.074219\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"501.453125\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"533.240234\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"585.339844\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"646.863281\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_2\">\n",
       "   <g id=\"patch_8\">\n",
       "    <path d=\"M 394.363636 252  L 648 252  L 648 34.56  L 394.363636 34.56  z \" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_3\">\n",
       "    <g id=\"xtick_7\">\n",
       "     <g id=\"line2d_18\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"405.892562\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_16\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(402.711312 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_8\">\n",
       "     <g id=\"line2d_19\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"452.008264\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_17\">\n",
       "      <!-- 20 -->\n",
       "      <g transform=\"translate(445.645764 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_9\">\n",
       "     <g id=\"line2d_20\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"498.123967\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_18\">\n",
       "      <!-- 40 -->\n",
       "      <g transform=\"translate(491.761467 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_10\">\n",
       "     <g id=\"line2d_21\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"544.239669\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_19\">\n",
       "      <!-- 60 -->\n",
       "      <g transform=\"translate(537.877169 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_11\">\n",
       "     <g id=\"line2d_22\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"590.355372\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_20\">\n",
       "      <!-- 80 -->\n",
       "      <g transform=\"translate(583.992872 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_12\">\n",
       "     <g id=\"line2d_23\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"636.471074\" xlink:href=\"#mb70cbba13a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_21\">\n",
       "      <!-- 100 -->\n",
       "      <g transform=\"translate(626.927324 266.598437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_22\">\n",
       "     <!-- Epoch -->\n",
       "     <g transform=\"translate(505.870881 280.276563)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-45\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n",
       "      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_4\">\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_24\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#m7ec9ae7785\" y=\"233.88\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_23\">\n",
       "      <!-- 0.0 -->\n",
       "      <g transform=\"translate(371.460511 237.679219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_7\">\n",
       "     <g id=\"line2d_25\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#m7ec9ae7785\" y=\"197.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_24\">\n",
       "      <!-- 0.2 -->\n",
       "      <g transform=\"translate(371.460511 201.439219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_8\">\n",
       "     <g id=\"line2d_26\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#m7ec9ae7785\" y=\"161.4\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_25\">\n",
       "      <!-- 0.4 -->\n",
       "      <g transform=\"translate(371.460511 165.199219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_9\">\n",
       "     <g id=\"line2d_27\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#m7ec9ae7785\" y=\"125.16\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_26\">\n",
       "      <!-- 0.6 -->\n",
       "      <g transform=\"translate(371.460511 128.959219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_10\">\n",
       "     <g id=\"line2d_28\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#m7ec9ae7785\" y=\"88.92\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_27\">\n",
       "      <!-- 0.8 -->\n",
       "      <g transform=\"translate(371.460511 92.719219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_11\">\n",
       "     <g id=\"line2d_29\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"394.363636\" xlink:href=\"#m7ec9ae7785\" y=\"52.68\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_28\">\n",
       "      <!-- 1.0 -->\n",
       "      <g transform=\"translate(371.460511 56.479219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_30\">\n",
       "    <path clip-path=\"url(#p82ffe1d6a2)\" d=\"M 405.892562 193.399149  L 408.198347 87.750968  L 410.504132 116.976774  L 412.809917 107.234839  L 415.115702 105.286452  L 417.421488 93.596129  L 419.727273 89.699355  L 422.033058 85.802581  L 424.338843 87.750968  L 426.644628 87.750968  L 428.950413 85.802581  L 431.256198 83.854194  L 433.561983 83.854194  L 435.867769 81.905806  L 438.173554 79.957419  L 440.479339 79.957419  L 442.785124 79.957419  L 445.090909 78.009032  L 447.396694 78.009032  L 449.702479 78.009032  L 452.008264 78.009032  L 454.31405 78.009032  L 456.619835 76.060645  L 458.92562 76.060645  L 461.231405 76.060645  L 463.53719 74.112258  L 465.842975 74.112258  L 468.14876 76.060645  L 470.454545 76.060645  L 472.760331 74.112258  L 475.066116 72.163871  L 477.371901 70.215484  L 479.677686 70.215484  L 481.983471 70.215484  L 484.289256 70.215484  L 486.595041 70.215484  L 488.900826 70.215484  L 491.206612 70.215484  L 493.512397 70.215484  L 495.818182 70.215484  L 498.123967 70.215484  L 500.429752 68.267097  L 502.735537 68.267097  L 505.041322 68.267097  L 507.347107 68.267097  L 509.652893 68.267097  L 511.958678 66.31871  L 514.264463 66.31871  L 516.570248 66.31871  L 518.876033 66.31871  L 521.181818 66.31871  L 523.487603 66.31871  L 525.793388 64.370323  L 528.099174 64.370323  L 530.404959 64.370323  L 532.710744 64.370323  L 535.016529 62.421935  L 537.322314 62.421935  L 539.628099 60.473548  L 541.933884 60.473548  L 544.239669 58.525161  L 546.545455 58.525161  L 548.85124 58.525161  L 551.157025 58.525161  L 553.46281 58.525161  L 555.768595 58.525161  L 558.07438 58.525161  L 560.380165 58.525161  L 562.68595 58.525161  L 564.991736 58.525161  L 567.297521 58.525161  L 569.603306 58.525161  L 571.909091 58.525161  L 574.214876 58.525161  L 576.520661 58.525161  L 578.826446 58.525161  L 581.132231 58.525161  L 583.438017 58.525161  L 585.743802 58.525161  L 588.049587 58.525161  L 590.355372 58.525161  L 592.661157 58.525161  L 594.966942 58.525161  L 597.272727 58.525161  L 599.578512 58.525161  L 601.884298 58.525161  L 604.190083 56.576774  L 606.495868 56.576774  L 608.801653 56.576774  L 611.107438 56.576774  L 613.413223 56.576774  L 615.719008 56.576774  L 618.024793 56.576774  L 620.330579 56.576774  L 622.636364 56.576774  L 624.942149 56.576774  L 627.247934 56.576774  L 629.553719 56.576774  L 631.859504 56.576774  L 634.165289 56.576774  L 636.471074 56.576774  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_31\">\n",
       "    <path clip-path=\"url(#p82ffe1d6a2)\" d=\"M 405.892562 233.88  L 408.198347 133.641702  L 410.504132 137.497021  L 412.809917 133.641702  L 415.115702 133.641702  L 417.421488 133.641702  L 419.727273 133.641702  L 422.033058 137.497021  L 424.338843 141.35234  L 426.644628 141.35234  L 428.950413 141.35234  L 431.256198 141.35234  L 433.561983 141.35234  L 435.867769 141.35234  L 438.173554 141.35234  L 440.479339 137.497021  L 442.785124 137.497021  L 445.090909 137.497021  L 447.396694 133.641702  L 449.702479 133.641702  L 452.008264 133.641702  L 454.31405 133.641702  L 456.619835 133.641702  L 458.92562 133.641702  L 461.231405 133.641702  L 463.53719 133.641702  L 465.842975 133.641702  L 468.14876 133.641702  L 470.454545 133.641702  L 472.760331 133.641702  L 475.066116 133.641702  L 477.371901 133.641702  L 479.677686 133.641702  L 481.983471 133.641702  L 484.289256 133.641702  L 486.595041 133.641702  L 488.900826 133.641702  L 491.206612 133.641702  L 493.512397 133.641702  L 495.818182 133.641702  L 498.123967 133.641702  L 500.429752 133.641702  L 502.735537 133.641702  L 505.041322 133.641702  L 507.347107 133.641702  L 509.652893 133.641702  L 511.958678 133.641702  L 514.264463 133.641702  L 516.570248 133.641702  L 518.876033 133.641702  L 521.181818 133.641702  L 523.487603 129.786383  L 525.793388 129.786383  L 528.099174 125.931064  L 530.404959 125.931064  L 532.710744 118.220426  L 535.016529 110.509787  L 537.322314 106.654468  L 539.628099 106.654468  L 541.933884 110.509787  L 544.239669 114.365106  L 546.545455 114.365106  L 548.85124 114.365106  L 551.157025 114.365106  L 553.46281 114.365106  L 555.768595 118.220426  L 558.07438 118.220426  L 560.380165 118.220426  L 562.68595 118.220426  L 564.991736 118.220426  L 567.297521 118.220426  L 569.603306 118.220426  L 571.909091 118.220426  L 574.214876 118.220426  L 576.520661 118.220426  L 578.826446 118.220426  L 581.132231 118.220426  L 583.438017 118.220426  L 585.743802 114.365106  L 588.049587 114.365106  L 590.355372 114.365106  L 592.661157 114.365106  L 594.966942 114.365106  L 597.272727 114.365106  L 599.578512 114.365106  L 601.884298 114.365106  L 604.190083 114.365106  L 606.495868 114.365106  L 608.801653 114.365106  L 611.107438 114.365106  L 613.413223 114.365106  L 615.719008 110.509787  L 618.024793 110.509787  L 620.330579 106.654468  L 622.636364 106.654468  L 624.942149 106.654468  L 627.247934 110.509787  L 629.553719 110.509787  L 631.859504 110.509787  L 634.165289 110.509787  L 636.471074 110.509787  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_9\">\n",
       "    <path d=\"M 394.363636 252  L 394.363636 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_10\">\n",
       "    <path d=\"M 648 252  L 648 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_11\">\n",
       "    <path d=\"M 394.363636 252  L 648 252  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_12\">\n",
       "    <path d=\"M 394.363636 34.56  L 648 34.56  \" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_29\">\n",
       "    <!-- LSTM with Window and State: Accuracy -->\n",
       "    <defs>\n",
       "     <path d=\"M 34.1875 63.1875  L 20.796875 26.90625  L 47.609375 26.90625  z M 28.609375 72.90625  L 39.796875 72.90625  L 67.578125 0  L 57.328125 0  L 50.6875 18.703125  L 17.828125 18.703125  L 11.1875 0  L 0.78125 0  z \" id=\"DejaVuSans-41\"/>\n",
       "     <path d=\"M 8.5 21.578125  L 8.5 54.6875  L 17.484375 54.6875  L 17.484375 21.921875  Q 17.484375 14.15625 20.5 10.265625  Q 23.53125 6.390625 29.59375 6.390625  Q 36.859375 6.390625 41.078125 11.03125  Q 45.3125 15.671875 45.3125 23.6875  L 45.3125 54.6875  L 54.296875 54.6875  L 54.296875 0  L 45.3125 0  L 45.3125 8.40625  Q 42.046875 3.421875 37.71875 1  Q 33.40625 -1.421875 27.6875 -1.421875  Q 18.265625 -1.421875 13.375 4.4375  Q 8.5 10.296875 8.5 21.578125  z M 31.109375 56  z \" id=\"DejaVuSans-75\"/>\n",
       "     <path d=\"M 32.171875 -5.078125  Q 28.375 -14.84375 24.75 -17.8125  Q 21.140625 -20.796875 15.09375 -20.796875  L 7.90625 -20.796875  L 7.90625 -13.28125  L 13.1875 -13.28125  Q 16.890625 -13.28125 18.9375 -11.515625  Q 21 -9.765625 23.484375 -3.21875  L 25.09375 0.875  L 2.984375 54.6875  L 12.5 54.6875  L 29.59375 11.921875  L 46.6875 54.6875  L 56.203125 54.6875  z \" id=\"DejaVuSans-79\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(402.448381 28.56)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#DejaVuSans-4c\"/>\n",
       "     <use x=\"55.712891\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"119.189453\" xlink:href=\"#DejaVuSans-54\"/>\n",
       "     <use x=\"180.273438\" xlink:href=\"#DejaVuSans-4d\"/>\n",
       "     <use x=\"266.552734\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"298.339844\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"380.126953\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"407.910156\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"447.119141\" xlink:href=\"#DejaVuSans-68\"/>\n",
       "     <use x=\"510.498047\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"542.285156\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"641.130859\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "     <use x=\"668.914062\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "     <use x=\"732.292969\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "     <use x=\"795.769531\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "     <use x=\"856.951172\" xlink:href=\"#DejaVuSans-77\"/>\n",
       "     <use x=\"938.738281\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"970.525391\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "     <use x=\"1031.804688\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "     <use x=\"1095.183594\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "     <use x=\"1158.660156\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"1190.447266\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "     <use x=\"1253.923828\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"1293.132812\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "     <use x=\"1354.412109\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     <use x=\"1393.621094\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "     <use x=\"1455.144531\" xlink:href=\"#DejaVuSans-3a\"/>\n",
       "     <use x=\"1488.835938\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "     <use x=\"1520.623047\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     <use x=\"1589.015625\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"1643.996094\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"1698.976562\" xlink:href=\"#DejaVuSans-75\"/>\n",
       "     <use x=\"1762.355469\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "     <use x=\"1803.46875\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "     <use x=\"1864.748047\" xlink:href=\"#DejaVuSans-63\"/>\n",
       "     <use x=\"1919.728516\" xlink:href=\"#DejaVuSans-79\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"legend_2\">\n",
       "    <g id=\"patch_13\">\n",
       "     <path d=\"M 540.39375 247  L 641 247  Q 643 247 643 245  L 643 216.64375  Q 643 214.64375 641 214.64375  L 540.39375 214.64375  Q 538.39375 214.64375 538.39375 216.64375  L 538.39375 245  Q 538.39375 247 540.39375 247  z \" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_32\">\n",
       "     <path d=\"M 542.39375 222.742188  L 562.39375 222.742188  \" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_33\"/>\n",
       "    <g id=\"text_30\">\n",
       "     <!-- Training set -->\n",
       "     <g transform=\"translate(570.39375 226.242188)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      <use x=\"60.865234\" xlink:href=\"#DejaVuSans-72\"/>\n",
       "      <use x=\"101.978516\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"163.257812\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"191.041016\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"254.419922\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"282.203125\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"345.582031\" xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"409.058594\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"440.845703\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"492.945312\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"554.46875\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"line2d_34\">\n",
       "     <path d=\"M 542.39375 237.420312  L 562.39375 237.420312  \" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "    </g>\n",
       "    <g id=\"line2d_35\"/>\n",
       "    <g id=\"text_31\">\n",
       "     <!-- Validation set -->\n",
       "     <g transform=\"translate(570.39375 240.920312)scale(0.1 -0.1)\">\n",
       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      <use x=\"68.298828\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"129.578125\" xlink:href=\"#DejaVuSans-6c\"/>\n",
       "      <use x=\"157.361328\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"185.144531\" xlink:href=\"#DejaVuSans-64\"/>\n",
       "      <use x=\"248.621094\" xlink:href=\"#DejaVuSans-61\"/>\n",
       "      <use x=\"309.900391\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "      <use x=\"349.109375\" xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"376.892578\" xlink:href=\"#DejaVuSans-6f\"/>\n",
       "      <use x=\"438.074219\" xlink:href=\"#DejaVuSans-6e\"/>\n",
       "      <use x=\"501.453125\" xlink:href=\"#DejaVuSans-20\"/>\n",
       "      <use x=\"533.240234\" xlink:href=\"#DejaVuSans-73\"/>\n",
       "      <use x=\"585.339844\" xlink:href=\"#DejaVuSans-65\"/>\n",
       "      <use x=\"646.863281\" xlink:href=\"#DejaVuSans-74\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p107ad03695\">\n",
       "   <rect height=\"217.44\" width=\"253.636364\" x=\"90\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p82ffe1d6a2\">\n",
       "   <rect height=\"217.44\" width=\"253.636364\" x=\"394.363636\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================================\n",
      "       |  Training |  Training |  Validate |  Validate \n",
      "Epochs |     Error |  Accuracy |     Error |  Accuracy \n",
      "------ | --------- | --------- | --------- | --------- \n",
      "#  100 |   0.00199 |   0.97849 |   0.01015 |   0.68085 \n",
      "Saving network... Saved!\n"
     ]
    }
   ],
   "source": [
    "if net3.saved():\n",
    "    net3.load()\n",
    "    net3.plot_results()\n",
    "else:\n",
    "    net3.train(100, batch_size=batch_size, shuffle=False, save=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f92316a3358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outputs = [net3.propagate(i) for i in net3.dataset.inputs]\n",
    "plot([[\"Network output\", outputs], [\"Training data\", net3.dataset.targets]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LSTM - Stacked"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "net4 = Network(\"LSTM with Window and State and Stacked\")\n",
    "net4.add(Layer(\"input\", features, batch_shape=(batch_size, time_steps, features)))\n",
    "net4.add(LSTMLayer(\"lstm-1\", 4, stateful=True, return_sequences=True)) \n",
    "net4.add(LSTMLayer(\"lstm-2\", 4, stateful=True)) \n",
    "net4.add(Layer(\"output\", 1))\n",
    "net4.connect()\n",
    "net4.compile(error=\"mse\", optimizer=\"adam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "net4.dataset.load(dataset)\n",
    "net4.dataset.split(.33)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "require(['base/js/namespace'], function(Jupyter) {\n",
       "    Jupyter.notebook.kernel.comm_manager.register_target('conx_svg_control', function(comm, msg) {\n",
       "        comm.on_msg(function(msg) {\n",
       "            var data = msg[\"content\"][\"data\"];\n",
       "            var images = document.getElementsByClassName(data[\"class\"]);\n",
       "            for (var i = 0; i < images.length; i++) {\n",
       "                if (data[\"href\"]) {\n",
       "                    images[i].setAttributeNS(null, \"href\", data[\"href\"]);\n",
       "                }\n",
       "                if (data[\"src\"]) {\n",
       "                    images[i].setAttributeNS(null, \"src\", data[\"src\"]);\n",
       "                }\n",
       "            }\n",
       "        });\n",
       "    });\n",
       "});\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<svg id='LSTM with Window and State and Stacked' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 440.0\" max-width=\"100%\" height=\"780px\" image-rendering=\"pixelated\">\n",
       "    <defs>\n",
       "        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n",
       "          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n",
       "        </marker>\n",
       "    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM with Window and State and Stacked</text><rect x=\"149.0\" y=\"24\" width=\"52.0\" height=\"52.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM with Window and State and Stacked_output_1\" class=\"LSTM with Window and State and Stacked_output\" x=\"150.0\" y=\"25\" height=\"50.0\" width=\"50.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n",
       " shape = (1,)\n",
       " Keras class = Dense</title></image><text x=\"205.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"104.0\" x2=\"175.0\" y2=\"77.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm-2 to output\n",
       " output/kernel has shape (4, 1)\n",
       " output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"104.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM with Window and State and Stacked_lstm-2_2\" class=\"LSTM with Window and State and Stacked_lstm-2\" x=\"75.0\" y=\"105.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm-2 (hidden)\n",
       " Keras class = LSTM\n",
       " stateful = True</title></image><text x=\"280.0\" y=\"132.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm-2</text><line x1=\"175.0\" y1=\"184.0\" x2=\"175.0\" y2=\"157.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm-1 to lstm-2\n",
       " lstm-2/kernel has shape (4, 16)\n",
       " lstm-2/recurrent_kernel has shape (4, 16)\n",
       " lstm-2/bias has shape (16,)</title></line><rect x=\"74.0\" y=\"184.0\" width=\"202\" height=\"152\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM with Window and State and Stacked_lstm-1_3\" class=\"LSTM with Window and State and Stacked_lstm-1\" x=\"75.0\" y=\"185.0\" height=\"150\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm-1 (hidden)\n",
       " Keras class = LSTM\n",
       " stateful = True\n",
       " return_sequences = True</title></image><text x=\"280.0\" y=\"262.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm-1</text><line x1=\"175.0\" y1=\"364.0\" x2=\"175.0\" y2=\"337.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm-1\n",
       " lstm-1/kernel has shape (1, 16)\n",
       " lstm-1/recurrent_kernel has shape (4, 16)\n",
       " lstm-1/bias has shape (16,)</title></line><rect x=\"149.0\" y=\"364.0\" width=\"52.0\" height=\"52.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM with Window and State and Stacked_input_4\" class=\"LSTM with Window and State and Stacked_input\" x=\"150.0\" y=\"365.0\" height=\"50.0\" width=\"50.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n",
       " shape = (1,)\n",
       " Keras class = Input\n",
       " batch_shape = (1, 3, 1)</title></image><text x=\"205.0\" y=\"392.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg>"
      ],
      "text/plain": [
       "<Network name='LSTM with Window and State and Stacked' (compiled)>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.0064370655454695225]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net4.propagate([[0.1], [-0.2], [0.8]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9229b6d9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if net4.saved():\n",
    "    net4.load()\n",
    "    net4.plot_results()\n",
    "else:\n",
    "    net4.train(100, batch_size=batch_size, shuffle=False, plot=True, save=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9228e0d518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outputs = [net4.propagate(i) for i in net4.dataset.inputs]\n",
    "plot([[\"Network output\", outputs], [\"Training data\", net4.dataset.targets]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "004c19089032478199dd931b1d0612a0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "004dc35140044303b065c25d86190353": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "00e0ae0e37664a63b72bd1a5112add61": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0140d5b696184cdd813f4ffac914e6b2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_29f27abfdd124445bfe8513736da63d1",
       "step": 1,
       "style": "IPY_MODEL_4361fea309cc4b6098ef313c70ef56df"
      }
     },
     "0148cac766f14a57ad0447e4a7f847ce": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_977fa2c559c9463299db52e9c2bf5bb1"
       ],
       "layout": "IPY_MODEL_a7301c84f57647bf8174e3b641b5b711",
       "selected_index": null
      }
     },
     "019282c908a442d98532aab032779215": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "02559c7d4a574a3d9595737b5ffe4dce": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "025d6d52205d4307a0c2d2291f692c85": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "025d9f874209437f9b75a10ec45dbdb3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "02924153f55c4fd4a910ade9c297fa05": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_57b125101ede4fe6b61319a76b8f350b",
       "style": "IPY_MODEL_427d8f829e614278a1c34b9d845a80d4"
      }
     },
     "02b1051053e54a4d8a4ae1e37dc5e64d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_61daa6c7ccca4f5b95147050672ca8b8",
       "rows": 1,
       "style": "IPY_MODEL_659d42a93b184d00bd9270b1bc3a50b5"
      }
     },
     "02c4c06b81c9414ebb0e675357cb98a8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_7ade35e2ec2149eba849d2895e3589e1",
       "style": "IPY_MODEL_4bb4871935bd468e977ceb4a7ae374a6",
       "value": true
      }
     },
     "02e20068536e4b1dac01c708fe2a35a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_4c0e270278344701914bb8a130c05e10",
       "style": "IPY_MODEL_851ce25cf6864f2299cce0c4a26e46d7",
       "value": false
      }
     },
     "033f39bc774245b98a0f3ba3d1d6317b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "03776fdcfbee41abb545bc91b46b2292": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_5153b05db6af448c90a956f3a757b75f",
       "step": 1,
       "style": "IPY_MODEL_d240484193d34b65943c6ab6a5a57e3d",
       "value": 3
      }
     },
     "037f8a2b0be843929e8072a6690b3a0d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "03f63f3269eb454e8369d673f1bafa69": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "04377f8f4cd74037a468dc443cb752d5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_6324fb29a81745a2a0470785e29043d5",
       "step": 1,
       "style": "IPY_MODEL_3c8c9ac4b6dc46fd8988f71cad42f3fe",
       "value": 30
      }
     },
     "043b874e026e4331ae913da5e875a5ef": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_25f92ba180ef44408a679a50fe805891"
      }
     },
     "0476546ce8314c5890b8c6d4a795936f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "048a1c3037e748e48301124067d93284": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "0496b13190344f949be252c30f13b5ab": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "04f33167bf7f4661be5cac6bfe6f64f5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "05300ca4802443d2a44c57619acc74cf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_e9cc72f4cdb14bd58226662af34a77d0",
       "style": "IPY_MODEL_b463231647f44ef2abb4c1028eb967ea",
       "value": true
      }
     },
     "05615b9504ca453bb92322179bd08c88": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_9069b9467bce4a3f80aae54982a00de6",
       "style": "IPY_MODEL_53c98aa907fc4e73a54dd1cb2871f297"
      }
     },
     "0571ca45f6f948f5882ad521ecb243d9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "05a27c742c7248faa0d336a5c5b08a6d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_4c0e270278344701914bb8a130c05e10",
       "step": 1,
       "style": "IPY_MODEL_5156d0eb86704aa099d979a68749d905",
       "value": 30
      }
     },
     "05b7dc375d834856bf8b4f8ea4838a2e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "05c214d4f6994057ba88ed97eaead2d1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "05df49ed0b9b46ad9863bea0fce3134d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_52fc9d9082914c89b24d865ac4c4e20e",
       "step": null,
       "style": "IPY_MODEL_2cce8a01a0f6433cb2a35deed4b20038",
       "value": 1
      }
     },
     "05ec066ebbf24cdf8d050ce08e760e7d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_c466132c2777476cb294458cf9541765",
        "IPY_MODEL_2ec5ce0644f04008ab931175c149517f"
       ],
       "layout": "IPY_MODEL_ef5390d32c414d28b501b8bb6a745c7f"
      }
     },
     "060a123159104d6eb39feeed6048df73": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_a2e9594c538e4ac89b7be6690832098b",
       "step": 1,
       "style": "IPY_MODEL_2d2c34b462394fe9a4f6e3a69d8bbcaf",
       "value": 30
      }
     },
     "06498f2a73044f53b66e4620ea99ccea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "06577a5b08f94fc89c749d859ba92b97": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "06ec039106324f7bb9f50643dc09c8f0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_2764f67926a147a09ed319ad6ce3bc3b",
       "rows": 1,
       "style": "IPY_MODEL_1a7144b9a4a940b3accf396173381c04"
      }
     },
     "073897883d7b4a2c9a53986e281e8975": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "078fcc9a8c0347e2834a22e0c117d902": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "079a736c31314520b577d758f5de4811": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_9ed1de308dae4932859c46f887de9b72",
       "rows": 1,
       "style": "IPY_MODEL_859963987cd14a0685a9ee4ab148fb15"
      }
     },
     "07bc7a24d4fd4ce6aa15c4041f282bed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_78ec951e2e5d4b6cbf6367d9373d3eef",
        "IPY_MODEL_dc6c44a7b9be466c8336f87141a09bff",
        "IPY_MODEL_bd7dcb9fd38949349afd28772483f5aa",
        "IPY_MODEL_fa05c129687848219579c99909adffe2",
        "IPY_MODEL_f2e52525bdd54a5e8432b119b3f61869",
        "IPY_MODEL_d7b00de5d1ff47d1b2bdad09420cd018",
        "IPY_MODEL_60e5ecedc178465fb1bd658d4a114c4c",
        "IPY_MODEL_e37b1c249c864f31aeafe5baeca1927a"
       ],
       "layout": "IPY_MODEL_ba160caa3fa84852b7cb11da67e23009"
      }
     },
     "086fb10889bf4f00b40628a1da6560d9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_96461cf0ed214bdfb3765655085ba615",
       "style": "IPY_MODEL_048a1c3037e748e48301124067d93284"
      }
     },
     "08763b3c9dde4557881a7bc06ca3fdd2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_23abb9210d7b47e1b81e2aa9e535107d",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_23f3a177dc60484f99fb289a8e05251f",
       "value": 1
      }
     },
     "088c274d65ee446a93c850ea2feeefdc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "08b35e80dda24317a8525ecb2834ab01": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "08d2f87166854854a75b9cdf839da19a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_1faa1d82f75e49b8b1b29c8ab8993551",
       "step": 1,
       "style": "IPY_MODEL_e46cec5176ee4bafaed5debf6b3642ef"
      }
     },
     "08f54530a10b41aaaf0eb3e0dec4b546": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_234ff0c2cbc04c7c856160bb17fd7145",
        "IPY_MODEL_7b1a080fd47c41feaa61fe91799548d0"
       ],
       "layout": "IPY_MODEL_79959b725cb147b5ab8d3070b78b98d4"
      }
     },
     "08f78ae26d5141f28abcdfb19abf0958": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_2d08fb29084840daa310fb2efb016c32",
       "step": 1,
       "style": "IPY_MODEL_425efd87b3ad43eb896d2b2028fb054c"
      }
     },
     "08f92fa2f23943258bbae40ea16e7a5e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "0921d8a8ba2c4d6899dffafbca7fc0ee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_e4fe5886fdf14fb580d5dc4b24179aed",
        "IPY_MODEL_ded369e1f3114c028043cac458a52d58"
       ],
       "layout": "IPY_MODEL_7fe43098081e4ac88de8b4ccc5d8de20"
      }
     },
     "0952306f990546f18c6e748ccbdf2494": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "098c4e858ead432a846caaed0d25bff4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "0a37354092074d4b844119e55566efe0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "0a3daac4535a454f84dc9f3455da0eeb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_ddeb5a3e7d374eddbf3936abb39c0229",
       "step": 1,
       "style": "IPY_MODEL_f5fc9df0e06e4e15ac0c2e56b2750aa1",
       "value": 3
      }
     },
     "0a4ac857923442aa86e944f8a4f786ad": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0a5fc4e1f23a43d4a237ecdcdfa381c9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "0a9a4f2ed72846aba81b7a228e4acc7c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0ae2be1884e949f2b6f0b06213f0adcb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "65%"
      }
     },
     "0aef4fec196948bd989988465e840dee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "0b0db6e38f2c4657b64ecbc04f8769c6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_8902cc310fa9491281e1763cbc338143",
       "rows": 1,
       "style": "IPY_MODEL_68b11eb8eac444128d63fff5affff282"
      }
     },
     "0b48de6b0aec475c984fa9e0f3bca7b0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "0b4b239c2b8a4817b08185c09e9f1f66": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "0b703776a0a74b1393e0264e3a07b09b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "0c601b9e25e1429badac343188429e41": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "0cab96efbc554023b70fdb4c77753afe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0ce334c433c9424e84cb50f552166bc1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "0cf5f20007854afea5aa4848f3947e78": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0d007ccc641d465ab4aa5ed490b0d97e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0d0fc4bef9ea43658e9dfaaf3776dda3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0d24f36f34594417ac011952f099c26e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_5ae4d5f066974d83b3267dac178fe87a",
       "step": null,
       "style": "IPY_MODEL_6e8337c7bee24477836799013e6ad35d",
       "value": 1
      }
     },
     "0d2c2c63f24d472893d976ce7475935e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "0dca971a656d426184bce232102816db": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "0e2155ad2b6c433e8349210e1eced6e7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_073897883d7b4a2c9a53986e281e8975",
       "style": "IPY_MODEL_2b2cc5b1cb1c43e6a061f912527d3ebe",
       "value": false
      }
     },
     "0e2210c6d66f4ee4b4d4e87a623ef30d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0e35dea630fc49e89e6e14e890c96651": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_fe0fbea9302e45d9b03589be9dcfe1cf",
        "IPY_MODEL_dfb86fcb59764dd69d8119fab2f7264b",
        "IPY_MODEL_bd66bf8e2168424dbbf31e4819ec619e",
        "IPY_MODEL_f168dec0b0c343e9ae68ee7cb4e80c8a",
        "IPY_MODEL_1f08faa471d645cc8e5fdca105f9c66a",
        "IPY_MODEL_e71a752cb22144d682bbe01ffcd5e518",
        "IPY_MODEL_f574cc314eb14b6aafb41781f2d2ab66"
       ],
       "layout": "IPY_MODEL_b568313110b548dfabd849862d2f9628"
      }
     },
     "0e77c5608f7a47878ace6b6f016111ab": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "0e91ef5da9894a26963a67a4b66971e0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0ec1263dcb80429fb64185c293ae5855": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "0ef45f6688944d8f948ae407e628a677": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "0f0dbb8fd777463b9cbd1e01bfe66285": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_e26833283d25499fb7db4471c7da19ce",
       "max": 1,
       "step": 0.1,
       "style": "IPY_MODEL_a14dac7c85a148118cd3abe2403b968b",
       "value": 0.5
      }
     },
     "0fa3bfa453c3413f875bd49223865e66": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "0fd4da90c83849dab4b7349719a00471": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "0ffd3b160bad4bd1883073a8fc198311": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_e63fc2f009fa4fe59efa0f6e440ff252",
       "style": "IPY_MODEL_c256cd11b615489ab670f8b72cb7d208"
      }
     },
     "104041f2d92249398fc32c5b6e2539e1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_d1e692f46cb047de8c4ae05198a6e017",
       "step": 1,
       "style": "IPY_MODEL_fa7b2925fccc49cb873bf8051efa91dc",
       "value": 150
      }
     },
     "112a5922d587446c8b3fd857fe93aad5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1197bd90f4804a43a5d4b701083e4bcc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_4af4141f59774c7c98b5e1cce5b3b610",
       "style": "IPY_MODEL_146e6dff502a4eb9a93f49f7e531a127",
       "value": "of 96"
      }
     },
     "11e37a2519504f68bc8d5139f005705a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "1211f0cf7167460bbb11ec2237872e7f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_6d10bd377149408aafd0cb98c9965ee1",
       "style": "IPY_MODEL_24083f92b5d349c686f6ad6c48c2114a",
       "value": "of 142"
      }
     },
     "124ca2413adc413b9b27c3c93f842c91": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "125068042f0f42fa80f39da72a697dad": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "128280c55a6b4798980b76a9e4f925ce": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_b9a9ad4387f54c70b95d1af268c779ed"
      }
     },
     "12b0108d49684044a01c4b4ca8ee9fce": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "12c52265e71e4159a597e17ce8d0504a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "10%"
      }
     },
     "12d235a4ad264ae793fec3440420c44b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_b1fbe23a195246c6bc1991188e772ca4",
        "IPY_MODEL_adbe81882aa94ee8ad57f4f5fc21d27a"
       ],
       "layout": "IPY_MODEL_3d34592a7bcf452bad6869e07e3ed8df"
      }
     },
     "12dd2a2427f84306899b7375edd26665": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_dc26287d81da47ed90cfe27fcfd336c8",
        "IPY_MODEL_539047edc50d40e4ad439abd4ad0dc7e",
        "IPY_MODEL_0140d5b696184cdd813f4ffac914e6b2",
        "IPY_MODEL_73917207ded644b2aae7290527023bfd",
        "IPY_MODEL_efb55ca43f714db787cefc0612aa57f0",
        "IPY_MODEL_086fb10889bf4f00b40628a1da6560d9",
        "IPY_MODEL_edfdb9c2f70b4fadb6170d744ccb4fee"
       ],
       "layout": "IPY_MODEL_b4866b70dd16452e9fc4094f476d0dcc"
      }
     },
     "1376810361724a4e91d2e4059b58f046": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_ab6b4355e13b49b29a5ba6b969d2536e",
       "step": 1,
       "style": "IPY_MODEL_1c6ed06001eb456d844cd6625ca962b7",
       "value": 3
      }
     },
     "13a4b8f937344979a82da09a60ea1e3c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "146e6dff502a4eb9a93f49f7e531a127": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "14759b40865f418687afa7dd853292c0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "14efc61eb504407888bd0b369d8a2576": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_91625a4e6cb14a2b8aa3eb5f7e7d3d77",
       "style": "IPY_MODEL_b271eceecae84de8a2df3c1e35fc21d2",
       "value": false
      }
     },
     "1525f96e53cc408697509f9dca977451": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "153ee414907d4b78b904312c0495b5a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "157167f5e15b40df9a0a50f89d9557af": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_4a049ed9d6f14045be036adb2c839e58",
       "style": "IPY_MODEL_4a844a6ee7c64e5caabdf893232e31be"
      }
     },
     "158fe89f1065423e9ce7b36673d8db57": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_5710680270c248eb8cee32a0dcce4efb",
       "style": "IPY_MODEL_eff6aa9d270544a3a858ec74c7498a68"
      }
     },
     "15ef5d09776f44de9dd1213b7b9992c4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_a5eb8e8e2fcd494fa039989607861e5d",
        "IPY_MODEL_96a011ddb85f4d11bcbece8a7a785e0f"
       ],
       "layout": "IPY_MODEL_48f9e30ddc1e467e88d12c7482cf32fb"
      }
     },
     "165d5d3bb692464295b106f0776cb801": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_3f1ae800fc52492e99f9a33c81600070",
        "IPY_MODEL_3ebde66a691949c98785177f0e019b14"
       ],
       "layout": "IPY_MODEL_4caf52cb63d6462980dbec3b3e9289f5"
      }
     },
     "16c90a053e8f4e4cae10b66c1ade1dba": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_a5d88b10c6f44a8284da0cdbe83b8d6e",
       "step": null,
       "style": "IPY_MODEL_1cdd31dba76a45abba5816b0aa096ae8",
       "value": -2
      }
     },
     "172d8942ba6948838fb2883c143a25cc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "172f8775f729452d96e14303c0cfaad7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_e7a0f87fc753463a9c3752913080ee13",
        "IPY_MODEL_ed6a58d374224fcbbd6370b4dcb975e4"
       ],
       "layout": "IPY_MODEL_265e641973d3496abf773bfaa046b31a"
      }
     },
     "175e6399c07c418fb463c1507b66b88b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_56272e772ead4c9491a1a4980206efb9",
       "rows": 1,
       "style": "IPY_MODEL_2e9870796f594fb58558dd9f3e898845"
      }
     },
     "177a178f57ca4a25bdc5ce4517c8ddaf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1795e2efb6d04620a67cc065f66de6dd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "179b235b85f64ef181df39173af84940": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "52%"
      }
     },
     "17b3469f36214818b4d96564ad43aaca": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "181ed9e540564e94a3b4f35e232fed6e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "18ab2da8ad894630b6b57165b9bdef47": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "18c8f23578d94c9c951f34c883d428e0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_c31e99dae4e8448983d8f6e278375025",
       "style": "IPY_MODEL_0571ca45f6f948f5882ad521ecb243d9"
      }
     },
     "18f1108dd57d403d99e1a4119f2a3e1a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "19580bb4f34a4a87a5f8a33a9b1f38d7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_46cd3ea435d44f61833f95161cc9a1b9",
        "IPY_MODEL_6bd88531a618441ab175bf3ecbe8554b"
       ],
       "layout": "IPY_MODEL_ff35603f819d488f8aa296b62bb1bb9a"
      }
     },
     "1976fa387b9e4c219dd77f887dd4a156": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "19d7ba317f3c4746bc5cbc0c61cd246a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_9a09e6504ebc43da95364eb894122f66",
       "style": "IPY_MODEL_0a4ac857923442aa86e944f8a4f786ad",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "19dd0c0b87da45f7b8ae92a1095c8f14": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "19e71f90db224768acea5e72df431de8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_7ade35e2ec2149eba849d2895e3589e1",
       "rows": 1,
       "style": "IPY_MODEL_b2440e39610d4186bf3476c5988c60c5"
      }
     },
     "1a0d06255ed64aef95a41368204628ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1a169a2267224b3386fe6185ea72c8ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "1a235998e0b2470d9c9b6d377a79d396": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "1a64adaae50b4a0c837c4195af9508a9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_29ae58be0ca349dd96c0e13a166ccc20",
       "style": "IPY_MODEL_cb52f5e5f5dd48179e33e7b681fc9a43",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "1a7144b9a4a940b3accf396173381c04": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1a7557aab1074741a1e40f60491d1067": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "1b6634be83a94dc78254ec718f709279": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_ba9ccfb6c48b40c0bbf84a0d3079b55c",
       "rows": 1,
       "style": "IPY_MODEL_faa2cb2e486b46c2a54800786153cde1"
      }
     },
     "1b6f8bef168445c4b2b1f89af4b4f839": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1b764fded60e46db966fd686445eec1c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_3b0da74036564eedb46aed775e073ca5",
        "IPY_MODEL_7c64e0cf367e44518248c86e64c37a03",
        "IPY_MODEL_752ff767bdfc4f84b6654f734e277f9a",
        "IPY_MODEL_97eef2d0a4c94ef582b33bd22e87d429",
        "IPY_MODEL_5efe0d56c8dc42df93226dc6872caaa5",
        "IPY_MODEL_05df49ed0b9b46ad9863bea0fce3134d",
        "IPY_MODEL_8f719505ebc6444da09c9f3402680421"
       ],
       "layout": "IPY_MODEL_ecb21d9e71064f389a176da2e8cd0736"
      }
     },
     "1bb6aa1ebdbf4ace91acb639e2d9842a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "1bc40df1745a4f5182bf8de98ed42ce0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "1bce792ec07e43fe8c52ab2b55a5f71c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "1bf647480fde45c593a886b339348ba4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_f89b1ec9e2814a55a3a933f354d88906",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_4c08530bb0f94643b5e5117b77511189",
       "value": 1
      }
     },
     "1c628c047d7447ab98ef8d17a28dc21c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "1c6ed06001eb456d844cd6625ca962b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "1cad58e347fc41239b533fda80e2fe5d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1cbd453cebc34042abc72a2bb752e16e": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_f3dcc62ec4b448d0bcaa343eb08430dc"
      }
     },
     "1cbf54f9536d4573afa48a5bbed53405": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1cdd31dba76a45abba5816b0aa096ae8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "1d1e52657247457998b8e7083eea3710": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "1d2d43254f3449e9b85392bcfcbf2173": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "1d54ce0dcb224e139bd8961c3bd6aa62": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1dae3f52115c43bcaa566f1bbbf6b0ac": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "1ddcc3c9262f4273a00591bc83e08580": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_b1acd3954ece4010ac0295771602150c"
      }
     },
     "1e65574243e74404b2e3d4ee88e742cb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "1e9d94d6d63043a59880c6303051f937": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1ed7993fbe684856b5404d59c0b4871d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "1ee2f0271f8341d2a1d1461c040fe550": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_9ed1de308dae4932859c46f887de9b72",
       "style": "IPY_MODEL_edf926050e1b48da8a85faa5dc4c9794",
       "value": false
      }
     },
     "1f08faa471d645cc8e5fdca105f9c66a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_a5248f44b5074e558a8c623960031801",
       "style": "IPY_MODEL_c82d898579dc4e08915c39dfeda92fbf"
      }
     },
     "1f219709ce6242dd81bce32ca3215674": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_25c7ff7e62b84969833d87daab32e27b",
       "step": 1,
       "style": "IPY_MODEL_f1d8f535ec84416396b4e85da1616884"
      }
     },
     "1f49d190b557417e9bccc44b154004d3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "1f79a2863fc94f38855da3d7873d7bbd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_ba9ccfb6c48b40c0bbf84a0d3079b55c",
       "step": 1,
       "style": "IPY_MODEL_91670c5a845543b9a11a0d8213b6f52a",
       "value": 30
      }
     },
     "1f91160a62074da0875ee85475352592": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_cfad7ce479f84db6b8f24dc69647418f",
        "IPY_MODEL_88b22aba7d1e4d11a9f118abc9ea3256"
       ],
       "layout": "IPY_MODEL_30625d786c4f49078b5966050340fa18"
      }
     },
     "1fa70b3c95dc41c29d71a3960c438b33": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "1faa1d82f75e49b8b1b29c8ab8993551": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "1ffb093047794b6cb6263834b1f2bd87": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "20642263d5e249929646661c517bbe00": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "2077d23ad91048c1bca151aca335d4e3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "20f81a5233964eeb8efd08f0b32d7750": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "210bf8eb7050469da42606fbfb81aba4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "21287aed167b40cdb98716be825891a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_5649c7dbdaa742d1a1157550b7d885bf",
       "step": null,
       "style": "IPY_MODEL_cf79855f86ae494e9e2d9277af7fe046",
       "value": 1
      }
     },
     "2135ebd2ade94f6b8c00f02882baad3f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "21b64844cad545deb1a42526dfec993a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "220821bad0aa48a782869e95357dd40a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_a7dab0ab4fd74fc183809f7afb11897a",
       "step": null,
       "style": "IPY_MODEL_5fee2a2e94e94eb2a3407a48702b51b9",
       "value": 2
      }
     },
     "220e3d56abe84dfa853dd1248d81de40": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_d10eb91bcc62447db76cdab35b53c53e",
        "IPY_MODEL_05300ca4802443d2a44c57619acc74cf",
        "IPY_MODEL_62cea20f183545cc8f470b21446ac9ad",
        "IPY_MODEL_31c704bb0ab448e4b7a32f80415f1c5c",
        "IPY_MODEL_7c49cc6bc4f84a3492dd10ecbbe5f22d",
        "IPY_MODEL_da086ff7dacd4c729024011a18969874",
        "IPY_MODEL_1f219709ce6242dd81bce32ca3215674"
       ],
       "layout": "IPY_MODEL_82d9114fd17f4845874bca8d54916357"
      }
     },
     "221594f52ad94373a647b3b60d971ade": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "223df03b0f2941c397fe95cb64b6829c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_ce9e9e3a6e1444da828865f5bb89ad41",
       "step": null,
       "style": "IPY_MODEL_3dce70b42e59472f84548a36834abe0b",
       "value": 1
      }
     },
     "22a167b08809434e99abc97856f482ff": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "22c233edfa8842c6ba67c17c7609e581": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_098c4e858ead432a846caaed0d25bff4",
       "style": "IPY_MODEL_9b5212f3acfa4a78bb7a197fdda75183",
       "value": "<p style=\"text-align:center\"></p>"
      }
     },
     "232fb8e319ea4dfb8c3b0088f45fa072": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "234ff0c2cbc04c7c856160bb17fd7145": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_75cad95c9e414d6b9c5983bf5aa706b4",
        "IPY_MODEL_d0fdede494464855b85f0d69e9de9945"
       ],
       "layout": "IPY_MODEL_a8c13eb0250449d2b217c68b23f6de87"
      }
     },
     "236b318160674d8aa55a3c033c1b5340": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_0ae2be1884e949f2b6f0b06213f0adcb",
       "max": 1,
       "step": 0.1,
       "style": "IPY_MODEL_0aef4fec196948bd989988465e840dee",
       "value": 0.5
      }
     },
     "23a212d450404c078488f9290bdc2fbf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "23a44905cf8545f0859ccc762952f78a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "23abb9210d7b47e1b81e2aa9e535107d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "23db7d5335434d499e367683994907af": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_a2e9594c538e4ac89b7be6690832098b",
       "style": "IPY_MODEL_1b6f8bef168445c4b2b1f89af4b4f839",
       "value": true
      }
     },
     "23f3a177dc60484f99fb289a8e05251f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "24083f92b5d349c686f6ad6c48c2114a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "243146eb76824fbf92371228c8148023": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "2478718595684e21a474c4b3867fb28d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "247d95ffb36648719f6030c3843a06ae": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "248f858b297e497296cfd3c83719d34f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_24f74e3df8d24c9ca217115879e4bd87",
       "style": "IPY_MODEL_232fb8e319ea4dfb8c3b0088f45fa072",
       "value": false
      }
     },
     "24cdcac36b5842e2aaa3d4e49dc8c798": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_774bc8c80dab479ba83fb5e262b04cf2",
       "style": "IPY_MODEL_343b1dfd912f45bdae9bf1382c408ce5"
      }
     },
     "24f20410ceba45de927b919fdcb5777d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate network",
       "disabled": false,
       "layout": "IPY_MODEL_b3f4ecd65dde4566a4be504622cb271a",
       "style": "IPY_MODEL_0ec1263dcb80429fb64185c293ae5855",
       "value": false
      }
     },
     "24f74e3df8d24c9ca217115879e4bd87": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "252000d2202448b5ac99e5c51e639dc3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "25591eefbca64c2480bc3a10e3aa296f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_d250bc4b57f1475a83a635f677db8289",
       "style": "IPY_MODEL_26eb87e7c9484b1fa716eb98e11fb4dd",
       "value": "of 142"
      }
     },
     "2598ce457a71499a88c9197ace44ae1e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "25c7ff7e62b84969833d87daab32e27b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "25f92ba180ef44408a679a50fe805891": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "260feb4a8aa14e9db742287b312234f7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "261566554c5e445cad65025c736a102a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "265e641973d3496abf773bfaa046b31a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2677d974e2cb47fa93494db43bc1ea41": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_d95f4d2227ee4396bdf4f576d98923a5",
       "rows": 1,
       "style": "IPY_MODEL_3a7ab059e106431f98e8ec10e48ba033"
      }
     },
     "26d649d9adc24ecdba45ad3b80f8e463": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_6ad62c9f63ce472785b4ffab82749e6b",
        "IPY_MODEL_48291300d13a4f4ca7b4102b1d0d4674"
       ],
       "layout": "IPY_MODEL_0ef45f6688944d8f948ae407e628a677"
      }
     },
     "26eb87e7c9484b1fa716eb98e11fb4dd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "26fb744f48e542f980e35a4adfd9cca4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_243146eb76824fbf92371228c8148023",
       "style": "IPY_MODEL_f48d75583ef24236bb0f1ba14158205e",
       "value": "of 142"
      }
     },
     "27300f13dcb84c758ad2c5b9f09bf306": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "275a132a2c06446dbb8f33e547115e43": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "2764f67926a147a09ed319ad6ce3bc3b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "277225ceec4e4b14a8f1637c93a5df3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_f36d6ba2390c4a11a7409c6e2be75d14",
       "style": "IPY_MODEL_a2343f9fc48f46118653321fbdd0d5a2"
      }
     },
     "2783236cc0294829ba679ef1cc637445": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "278790a9c58e4f7db090f4e4601ce453": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_1f91160a62074da0875ee85475352592"
       ],
       "layout": "IPY_MODEL_2d64c8e3ff424152a22f25bb1ca0e81c",
       "selected_index": null
      }
     },
     "278c840a7e864fe99f657658cc5d0723": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_da006f38e626411aa691544cffb58988",
       "style": "IPY_MODEL_881022972e0c40829c6ad0b5c0be49e5"
      }
     },
     "27cd5cbc9ae44056809d739cf92681c9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "27ed93618c144f21901d839ddc2b1d54": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "27efc7c6bc5c446484095c7b09f50c34": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "2833b34bd9cb4efe8889348172767f2e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "286e65c389f14523b164c5426da27d6f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "28a8e003240e478293d728c5cc97b115": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_7a24a9fe66274088940a751deb423fa7",
       "step": null,
       "style": "IPY_MODEL_7adfb8085b4b43e19d5af4c1249ea044",
       "value": -2
      }
     },
     "28bf11974c594957bcae72f39e49681f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "2907eb29a1594a8090bb8778717015c8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_65dc139d9c2444068861f4c73497cb4a",
       "style": "IPY_MODEL_252000d2202448b5ac99e5c51e639dc3"
      }
     },
     "2924d6261ae641e88f4b58419d19e890": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_b1261f0ede6e42edb47e1151569ae5be",
       "step": 1,
       "style": "IPY_MODEL_dd2693e5eb284ae590172a79fa1e5859",
       "value": 150
      }
     },
     "293fdd2e0fd3479d9f14c074860008b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "29489acc76f642279a1e8cbc7bde13dd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "298d3dbea96e43ab80223de9a6dce5d5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "299bbca713044347b3c5eb8cd30e635a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "29ae58be0ca349dd96c0e13a166ccc20": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "29d07d19725f4940a3be5381fe72b6e7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "29f27abfdd124445bfe8513736da63d1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "2a0a4d24d877437da14de92eb0004a9d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_0b703776a0a74b1393e0264e3a07b09b",
       "style": "IPY_MODEL_b21ff8adface4d8daf5cd83db3bb31ed"
      }
     },
     "2a336dfd90f646c9b96dd859e22004ff": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "2a8671abba1444b3b5206669d42e2a26": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2a9bf3e8035d418d92fe586fb2135aba": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "2b2cc5b1cb1c43e6a061f912527d3ebe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "2b8c7b0d67c942f0b68a0e0ae4e8a64a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_90bcacdfa52548d9a2a758d021cc317e",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_0cf5f20007854afea5aa4848f3947e78",
       "value": 1
      }
     },
     "2b97e1aa76714029b20203290e1adac3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_1795e2efb6d04620a67cc065f66de6dd",
       "rows": 1,
       "style": "IPY_MODEL_5de41687409d407f9b977fd5ae2d3c6b"
      }
     },
     "2bcdbbc1623447b9ad0b22a324bf1cef": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2c3700e7c722467ab3d4ab1eaced1ac7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_a44309304ebe4c7182daa8683896b536",
       "style": "IPY_MODEL_6156736fd04f4b89a4250d619e4f5bf6",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 360.0\" max-width=\"100%\" height=\"780\" image-rendering=\"pixelated\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM</text><rect x=\"124.0\" y=\"24\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_output_1\" class=\"LSTM_output\" x=\"125.0\" y=\"25\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"230.0\" y=\"77.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"154.0\" x2=\"175.0\" y2=\"127.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel has shape (4, 1)\n output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"154.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_lstm_2\" class=\"LSTM_lstm\" x=\"75.0\" y=\"155.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"182.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm</text><line x1=\"175.0\" y1=\"234.0\" x2=\"175.0\" y2=\"207.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel has shape (1, 16)\n lstm/recurrent_kernel has shape (4, 16)\n lstm/bias has shape (16,)</title></line><rect x=\"124.0\" y=\"234.0\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_input_3\" class=\"LSTM_input\" x=\"125.0\" y=\"235.0\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"230.0\" y=\"287.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg></p>"
      }
     },
     "2c54f97e18b84175a5218568c3a526d0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "2cce8a01a0f6433cb2a35deed4b20038": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "2ce2ba111b0944198574b9ba3207fa04": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_165d5d3bb692464295b106f0776cb801",
        "IPY_MODEL_e9d8edf37c7b475aa924e5763f56b695"
       ],
       "layout": "IPY_MODEL_3af5f883a86c4b918134760c5a71d168"
      }
     },
     "2d08fb29084840daa310fb2efb016c32": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2d106c0c096046e09f08ee8a000816e0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_91625a4e6cb14a2b8aa3eb5f7e7d3d77",
       "style": "IPY_MODEL_fe3ee25d07904c65aff2a0f6d38716d5",
       "value": false
      }
     },
     "2d1357a1807a48fab4c7e1553d88e965": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "2d2c34b462394fe9a4f6e3a69d8bbcaf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "2d2ee55a06dc4f8db892cca0009a6ffd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "2d64c8e3ff424152a22f25bb1ca0e81c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2da1f8e782754d28a38756e8b43340b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_71422bda5e7b4d9b8f7a4e07e7be5fb0",
       "style": "IPY_MODEL_cd5d662709ef41e19035d324544fad91"
      }
     },
     "2da8a972bb49446aa4626fead9bd1b6d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_6ff13474060543fd96f1abe55eef4a85",
       "step": null,
       "style": "IPY_MODEL_cfc4385be2c04e26b7fcc8bd468b180a",
       "value": 2
      }
     },
     "2ddc2b6e9ceb479981bd69815a2df3dc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_7ade35e2ec2149eba849d2895e3589e1",
       "step": 1,
       "style": "IPY_MODEL_3d30b0c189e947ac96c40b3d9616fb00",
       "value": 30
      }
     },
     "2df03110fd79488b8ce18b2ac97dd62e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "2e2936bb743a45ae8cf3397bdfae2a02": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_05b7dc375d834856bf8b4f8ea4838a2e",
       "rows": 1,
       "style": "IPY_MODEL_d59c8ac8e4cc4955bcda6de7755022d2"
      }
     },
     "2e5656677f814d3485c12572c28346d2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "2e9870796f594fb58558dd9f3e898845": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "2eb32446edd74c6590d195c7ada01c1b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "2ec5a9b14e98413482cc95c385b801c3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_2077d23ad91048c1bca151aca335d4e3",
       "style": "IPY_MODEL_7a057b77450e4e6187fe54f04fac9b29"
      }
     },
     "2ec5ce0644f04008ab931175c149517f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_9c92c3d7f75741d291cf26d977138980",
        "IPY_MODEL_447c06e8130c4f5b82874cfffc7c8525",
        "IPY_MODEL_7b7fcd63bf44440988f5f436fe6c6a7f",
        "IPY_MODEL_d0d0f60fdab24c5ab0d4d7e75e843fae",
        "IPY_MODEL_28a8e003240e478293d728c5cc97b115",
        "IPY_MODEL_2da8a972bb49446aa4626fead9bd1b6d",
        "IPY_MODEL_35853b1cf1114a3fbccc7572f0a5f6db",
        "IPY_MODEL_b81fe0ddf2c4403c804c9306f14e9e14"
       ],
       "layout": "IPY_MODEL_56fd309aa4924efea2a87a3e47e1cb88"
      }
     },
     "2ed4db865b144c95bbe535c79a2c66a7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_83dc3716bbd7460bb3246c5a55a64961",
       "rows": 1,
       "style": "IPY_MODEL_0952306f990546f18c6e748ccbdf2494"
      }
     },
     "2f0a186216f34774843119aaf5fd6e8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_4c0e270278344701914bb8a130c05e10",
       "rows": 1,
       "style": "IPY_MODEL_e6517f45add94de0af3a4333b80de6dd"
      }
     },
     "2f1be69fa01141eea3aef8e30c84625b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_b3596f11c826401da8faa0f3261a0955",
       "step": null,
       "style": "IPY_MODEL_293fdd2e0fd3479d9f14c074860008b9",
       "value": 2
      }
     },
     "2f2925c6fca74098ad303be3f2898c31": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_5aec269d533f462a9f6318e0c0d5b0fc",
       "style": "IPY_MODEL_d921ca3af5a24a5c9008f70b81c2ee19",
       "value": false
      }
     },
     "2f41a4d2a09f4fd9894d0c060fc6ab34": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_5945bf3f124747db8924697242d5f17f",
       "style": "IPY_MODEL_1a7557aab1074741a1e40f60491d1067"
      }
     },
     "2f5c1ab71590426f9210af73ef62a2bc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "300ad647db5c489384ca86d36cd3d871": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "30625d786c4f49078b5966050340fa18": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "311a6f9164f543e4849f7606b66837f2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_f3725ac03da44e188660c240606d6b9a",
       "rows": 1,
       "style": "IPY_MODEL_2c54f97e18b84175a5218568c3a526d0"
      }
     },
     "31c704bb0ab448e4b7a32f80415f1c5c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_b36f97d8eab54f20ae24a05835c3d4b7",
       "style": "IPY_MODEL_a760bec5557c42d7976dc675a10ea22a",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "3227953d8f594556831d9820ae047e0c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3286376f5bb346438f8b69a00bba2f57": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_348eff8b178644e7b2e49b8d0f4f7871",
       "style": "IPY_MODEL_8d725e15cd0244e8bc18a392219bade2"
      }
     },
     "32cd8a6d4b7641778769802ffed5da75": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_f5117154d2e540f583fc0ab5123343cb",
       "style": "IPY_MODEL_8929380105664a26a392882a3a0c32a1",
       "value": "<p style=\"text-align:center\"><svg id='LSTM with Window' xmlns='http://www.w3.org/2000/svg' image-rendering=\"pixelated\" width=\"400.0px\" height=\"297.1428571428571px\">\n <g >\n  <svg viewBox=\"0 0 350 260\" width=\"400.0px\" height=\"297.1428571428571px\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><rect x=\"149.0\" y=\"24\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM with Window-480762_output_7\" class=\"picture-dashboard-LSTM with Window-480762_output\" x=\"150.0\" y=\"25\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (-Infinity, +Infinity)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"205.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >output</text><line x1=\"175.0\" y1=\"104\" x2=\"175.0\" y2=\"77\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output_1/kernel:0 has shape (4, 1)\n output_1/bias:0 has shape (1,)</title></line><rect x=\"74.0\" y=\"104\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM with Window-480762_lstm_8\" class=\"picture-dashboard-LSTM with Window-480762_lstm\" x=\"75.0\" y=\"105\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdh+AA+AIcAAP/8/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAA+AA+AEAI/wADCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaJEABgzatzIsaPHjyA3BggAoKTJkyhTqlzJsiXKAAEAyJxJs6bNmzhz6qwZIACAn0CDCh1KtKjRo0IDBADAtKnTp1CjSp1K9WmAAACyat3KtavXr2DDcg0QAIDZs2jTql3Ltq3btAECAJhLt67du3jz6t1rN0AAAIADCx5MuLDhw4gHBwgAoLHjx5AjS55MuTLkAAEAaN7MubPnz6BDi+4cIACA06hTq17NurXr16oDBABAu7bt27hz697N+3aAAACCCx9OvLjx48iTEw8QAIDz59CjS59Ovbr16AECANjOvbv37+DDi/8f7z1AAADo06tfz769+/fw1wcIAKC+/fv48+vfz78/foABAgAgWNDgQYQJFS5keDBAAAARJU6kWNHiRYwZKQYIAMDjR5AhRY4kWdJkyAABAKxk2dLlS5gxZc50GSAAAJw5de7k2dPnT6A7AwQAUNToUaRJlS5l2hRpgAAApE6lWtXqVaxZtVYNEADAV7BhxY4lW9bsWbEBAgBg29btW7hx5c6l+zZAAAB59e7l29fvX8CB+QYIAMDwYcSJFS9m3Nhx4gABAEymXNnyZcyZNW+2HCAAANChRY8mXdr0adSjAwQA0Nr1a9ixZc+mXRt2gAAAdO/m3dv3b+DBhfcOEAD/wHHkyZUvZ97c+XPlAQIAoF7d+nXs2bVv5349QAAA4cWPJ1/e/Hn06ckHCADA/Xv48eXPp1/ffvwAAQDs59/fP0AAAgcSLGjwIMKEAQIAaOjwIcSIEidSrAgxQAAAGjdy7OjxI8iQIjsGCADgJMqUKleybOnypcoAAQDQrGnzJs6cOnfyvBkgAICgQocSLWr0KNKkRAMEAOD0KdSoUqdSrWo1aoAAALZy7er1K9iwYsd6DRAAANq0ateybev2Ldy1AQIAqGv3Lt68evfy7Ys3QAAAggcTLmz4MOLEigsHCADgMeTIkidTrmz5suQAAQBw7uz5M+jQokeT/hwgAIDU/6pXs27t+jXs2KwDBABg+zbu3Lp38+7tO3eAAACGEy9u/Djy5MqXGw8QAAD06NKnU69u/Tr26QECAOju/Tv48OLHky8PPkAAAOrXs2/v/j38+PLbBwgA4D7+/Pr38+/vHyAAgQMJFgwQAEBChQsZNnT4EGJEhgECALB4EWNGjRs5dvSYMUAAACNJljR5EmVKlStNBggAAGZMmTNp1rR5E+fMAAEA9PT5E2hQoUOJFgUaIAAApUuZNnX6FGpUqU0DBABwFWtWrVu5dvX6VWuAAADIljV7Fm1atWvZng0QAEBcuXPp1rV7F29eugECAPD7F3BgwYMJFzYcOEAAAIsZN/92/BhyZMmTHQcIAABzZs2bOXf2/Bn05gABAJQ2fRp1atWrWbdGHSAAANmzade2fRt3bt21AwQA8Bt4cOHDiRc3flx4gAAAmDd3/hx6dOnTqT8PEABAdu3buXf3/h18eO4BAgAwfx59evXr2bd3nz5AAADz6de3fx9/fv377QcIABCAwIEECxo8iDChwoIBAgB4CDGixIkUK1q8KDFAAAAcO3r8CDKkyJEkPwYIACClypUsW7p8CTMmywABANi8iTOnzp08e/rMGSAAgKFEixo9ijSp0qVGAwQAADWq1KlUq1q9inVqgAAAunr9Cjas2LFky4INEACA2rVs27p9Czf/rty2AQIAuIs3r969fPv6/as3QAAAhAsbPow4seLFjA8HCAAgsuTJlCtbvow5M+UAAQB4/gw6tOjRpEubDh0gAIDVrFu7fg07tuzZrgMEAIA7t+7dvHv7/g18d4AAAIobP448ufLlzJsjDxAAgPTp1Ktbv449u/bqAQIA+A4+vPjx5MubPy8+QAAA7Nu7fw8/vvz59N8HCAAgv/79/Pv7BwhA4ECCBQ0eJBggAACGDR0+hBhR4kSKDwMEAJBR40aOHT1+BBmSY4AAAEyeRJlS5UqWLV2mDBAAwEyaNW3exJlT506bAQIAABpU6FCiRY0eRTo0QAAATZ0+hRpV6lSq/1WhBggAQOtWrl29fgUbVmzXAAEAnEWbVu1atm3dvlUbIAAAunXt3sWbV+9evncDBAAQWPBgwoUNH0acmHCAAAAcP4YcWfJkypUtRw4QAMBmzp09fwYdWvRozwECAECdWvVq1q1dv4a9OkAAALVt38adW/du3r1xBwgAQPhw4sWNH0eeXHnxAAEAPIceXfp06tWtX5ceIAAA7t29fwcfXvx48t8DBACQXv169u3dv4cfn32AAADs38efX/9+/v39AwQgUGCAAAAOIkyocCHDhg4fKgwQAADFihYvYsyocSPHiwECAAgpciTJkiZPokxJMkAAAC5fwowpcybNmjZjBv8IAGAnz54+fwINKnSozwABACBNqnQp06ZOn0JdGiAAgKpWr2LNqnUr165YAwQAIHYs2bJmz6JNq7ZsgAAA3sKNK3cu3bp278oNEAAA375+/wIOLHgw4b8BAgBIrHgx48aOH0OOzDhAAACWL2POrHkz586eMwcIAGA06dKmT6NOrXq16QABAMCOLXs27dq2b+OeHSAAgN6+fwMPLnw48eLAAwQAoHw58+bOn0OPLr15gAAArmPPrn079+7ev2sPEAAA+fLmz6NPr349+/MBAgCIL38+/fr27+PPTz9AAAD+AQIQOJBgQYMHESZUKDBAAAAPIUaUOJFiRYsXJQYIAID/Y0ePH0GGFDmS5McAAQCkVLmSZUuXL2HGZBkgAACbN3Hm1LmTZ0+fOQMEADCUaFGjR5EmVbrUaIAAAKBGlTqValWrV7FODRAAQFevX8GGFTuWbFmwAQIAULuWbVu3b+HGlds2QAAAd/Hm1buXb1+/f/UGCACAcGHDhxEnVryY8eEAAQBEljyZcmXLlzFnphwgAADPn0GHFj2adGnToQMEALCadWvXr2HHlj3bdYAAAHDn1r2bd2/fv4HvDhAAQHHjx5EnV76ceXPkAQIAkD6denXr17Fn1149QAAA38GHFz+efHnz58UHCACAfXv37+HHlz+f/vsAAQDk17+ff3///wABCBxIsKDBgwQDBADAsKHDhxAjSpxI8WGAAAAyatzIsaPHjyBDcgwQAIDJkyhTqlzJsqXLlAECAJhJs6bNmzhz6txpM0AAAECDCh1KtKjRo0iHBggAoKnTp1CjSp1KtSrUAAEAaN3KtavXr2DDiu0aIACAs2jTql3Ltq3bt2oDBABAt67du3jz6t3L926AAAACCx5MuLDhw4gTEw4QAIDjx5AjS55MubLlyAECANjMubPnz6BDix7tOUAAAKhTq17NurXr17BXBwgAoLbt27hz697NuzfuAAEACB9OvLjx48iTKy8eIACA59CjS59Ovbr169IDBADAvbv37+DDi/8fT/57gAAA0qtfz769+/fw47MPEACA/fv48+vfz7+/f4AABAoMEADAQYQJFS5k2NDhQ4UBAgCgWNHiRYwZNW7keDFAAAAhRY4kWdLkSZQpSQYIAMDlS5gxZc6kWdNmzAABAOzk2dPnT6BBhQ71GSAAAKRJlS5l2tTpU6hLAwQAUNXqVaxZtW7l2hVrgAAAxI4lW9bsWbRp1ZYNEADAW7hx5c6lW9fuXbkBAgDg29fvX8CBBQ8m/DdAAACJFS9m3NjxY8iRGQcIAMDyZcyZNW/m3Nlz5gABAIwmXdr0adSpVa82HSAAANixZc+mXdv2bdyzAwQA0Nv3b+DBhQ8nXhz/eIAAAJQvZ97c+XPo0aU3DxAAwHXs2bVv597d+3ftAQIAIF/e/Hn06dWvZ38+QAAA8eXPp1/f/n38+ekHCADAP0AAAgcSLGjwIMKECgUGCADgIcSIEidSrGjxosQAAQBw7OjxI8iQIkeS/BggAICUKleybOnyJcyYLAMEAGDzJs6cOnfy7OkzZ4AAAIYSLWr0KNKkSpcaDRAAANSoUqdSrWr1KtapAQIA6Or1K9iwYseSLQs2QAAAateybev2Ldy4ctsGCADgLt68evfy7ev3r94AAQAQLmz4MOLEihczPhwgAIDIkidTrmz5MubMlAMEAOD5M+jQokeTLm06dIAA/wBWs27t+jXs2LJnuw4QAADu3Lp38+7t+zfw3QECAChu/Djy5MqXM2+OPEAAANKnU69u/Tr27NqrBwgA4Dv48OLHky9v/rz4AAEAsG/v/j38+PLn038fIACA/Pr38+/vHyAAgQMJFjR4kGCAAAAYNnT4EGJEiRMpPgwQAEBGjRs5dvT4EWRIjgECADB5EmVKlStZtnSZMkAAADNp1rR5E2dOnTttBggAAGhQoUOJFjV6FOnQAAEANHX6FGpUqVOpVoUaIAAArVu5dvX6FWxYsV0DBABwFm1atWvZtnX7Vm2AAADo1rV7F29evXv53g0QAEBgwYMJFzZ8GHFiwgECAP9w/BhyZMmTKVe2HDlAAACbOXf2/Bl0aNGjPQcIAAB1atWrWbd2/Rr26gABANS2fRt3bt27effGHSAAAOHDiRc3fhx5cuXFAwQA8Bx6dOnTqVe3fl16gAAAuHf3/h18ePHjyX8PEABAevXr2bd3/x5+fPYBAgCwfx9/fv37+ff3DxCAQIEBAgA4iDChwoUMGzp8qDBAAAAUK1q8iDGjxo0cLwYIACCkyJEkS5o8iTIlyQABALh8CTOmzJk0a9qMGSAAgJ08e/r8CTSo0KE+AwQAgDSp0qVMmzp9CnVpgAAAqlq9ijWr1q1cu2INEACA2LFky5o9izat2rIBAgB4Czcjrty5dOvavSs3gN69fPv6/Qs4sODBhAsbPow4seLFjBsrDggAOw==\"><title>Layer: lstm (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"132.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >lstm</text><line x1=\"175.0\" y1=\"184\" x2=\"175.0\" y2=\"157\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm_1/kernel:0 has shape (1, 16)\n lstm_1/recurrent_kernel:0 has shape (4, 16)\n lstm_1/bias:0 has shape (16,)</title></line><rect x=\"149.0\" y=\"184\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM with Window-480762_input_9\" class=\"picture-dashboard-LSTM with Window-480762_input\" x=\"150.0\" y=\"185\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 3, 1)</title></image><text x=\"205.0\" y=\"212.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >input</text><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\" >LSTM with Window</text></svg></g></svg></p>"
      }
     },
     "331ce16c920545b18de3368770592392": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_92cee906aca84752a723bab1907e2343",
       "step": 1,
       "style": "IPY_MODEL_ec383c33ef8744fbbe1942a25db84a61"
      }
     },
     "334ebf9a635c4cc4b63c35ace882fae4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_d1e692f46cb047de8c4ae05198a6e017",
       "style": "IPY_MODEL_0cab96efbc554023b70fdb4c77753afe",
       "value": true
      }
     },
     "335a1e886b4c444599e891d44ef2904c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_a1f904b55d51467fb2653d7c3a1ccc97",
       "step": 1,
       "style": "IPY_MODEL_b2b1a46152964a3c9db21fd122f035b2",
       "value": 3
      }
     },
     "33a72df03afe4983870af5fe51f3ef7e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_dca9db1c4f0242fd9e50069d51849fb9",
        "IPY_MODEL_e740844e491145e1bb8bb2a653731bf3"
       ],
       "layout": "IPY_MODEL_ddff28e2cd3749aeaac278a2aa02d1bb"
      }
     },
     "343b1dfd912f45bdae9bf1382c408ce5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "344de7b550ec42e6a79a7b0754629578": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_19580bb4f34a4a87a5f8a33a9b1f38d7"
       ],
       "layout": "IPY_MODEL_4d362fc3e82d4f3088fcb1fe50257095",
       "selected_index": null
      }
     },
     "348eff8b178644e7b2e49b8d0f4f7871": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "349b86c2c9864aac96d1ab1574739b9c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "34dde277b7ee4ade91d29ef0b9d64eb1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "35853b1cf1114a3fbccc7572f0a5f6db": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_3f7a778e3f5144ed93466ebf958f8d34",
       "step": 1,
       "style": "IPY_MODEL_f94740aa23c347848f2d951f8084fc8a"
      }
     },
     "35eaa4fea5d8429aa9ea9d05b2d95cf5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "363982e9a539409e91bd998d5c426b52": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3677b8cdbf4e499995dee7c67a26878a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_805dafaeb3194c71bcede36dd6b087e2",
       "style": "IPY_MODEL_d428b3e5a3b3495f9e1c79046e3f65b5",
       "value": "<p style=\"text-align:center\"></p>"
      }
     },
     "367c60b50fa94eabb08c3589d20c095e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "36906ca4402a479ba9a22cb0ba81ee89": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "369e6a22eb2c454da1c5c717bd24da8c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "36a0a197b9444d7ab3f6021ef9ebe6e3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_f3c8862fb16b4458baa46fddb0c0d21b",
       "max": 1,
       "step": 0.1,
       "style": "IPY_MODEL_44c83a0e60ca49f8ad6acd9fca2a32bf",
       "value": 0.5
      }
     },
     "36c137dcc23449a1aee562d2f112b35f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "36f8247d410e4567ae365e24a9de6f10": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "373b879610fc41beb24de88d36b72cf3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "376470bdfd3c46abacffeefd187b92a4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "377c46969a194ba497d967ef96937419": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_a08422c906564f96abc458a5c2ee3431",
       "step": null,
       "style": "IPY_MODEL_90ed13e4182046ee80b665d9cdd4c09f",
       "value": 1
      }
     },
     "377e295157e840479ba059c7ecbffcce": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "379860dd7a194b8aa5ef07c6437eb19e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "383ead0315244fa1b1bd4b750f1c5155": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_4f4e12f647634d72846f008734145f31",
        "IPY_MODEL_adf6714342114ce7ab8215d6c4844b66",
        "IPY_MODEL_897c86095c244df689c092f098bdec44",
        "IPY_MODEL_ec4806d5354f4f73b73584cd8539ced1",
        "IPY_MODEL_ea953bb3cdff480ba318df4fe301e6a2",
        "IPY_MODEL_f564b4cf8cc14c65849a154e6b6d8ceb",
        "IPY_MODEL_749660ae79494be1a01d916f46e74c7e",
        "IPY_MODEL_0921d8a8ba2c4d6899dffafbca7fc0ee"
       ],
       "layout": "IPY_MODEL_bdba420c1dbf4adfaa63ac4bb4889bff"
      }
     },
     "3899cf6d5cf84cffb296b76ca8c83f29": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "38bb50dc797a4f709f0cd802d3cc49f0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "38e5cc832e244dcc843ad18fa4e0fa9a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3918760381854c9eb4aa0d67abaee21c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "395c0e23dc27434ab80487a6478ad368": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "395e12fd6b4f4d8c9b718dd2c7764f6e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM with Window"
       },
       "children": [
        "IPY_MODEL_ed5d95dafbdb40689717bc3ea4a0ef86"
       ],
       "layout": "IPY_MODEL_f824fc0f10da497d802b29b09eeaa51e",
       "selected_index": null
      }
     },
     "397adecf00724a10aa4896709d1fe8e3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "39abf24c3cc241eda700ae41db54228b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "39fd53624ee944f58f77ca30d7ee42ce": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_763e13acb9df4886991db98b1508cbbe",
       "style": "IPY_MODEL_0fa3bfa453c3413f875bd49223865e66"
      }
     },
     "3a250cd4833146c080ce277a47718876": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "3a25b75032f443f28be6ff0eb59486d2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_945e682cea32410d8f3cdc30ecf2e99a",
       "style": "IPY_MODEL_8d146b72b20b46a8af43f651cddf7f60"
      }
     },
     "3a7ab059e106431f98e8ec10e48ba033": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3aad6fe89e6e40d885974754a038501f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3af2d4ed745040da96f6b31d1324ef2c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "3af5f883a86c4b918134760c5a71d168": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "3b0da74036564eedb46aed775e073ca5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_35eaa4fea5d8429aa9ea9d05b2d95cf5",
       "rows": 1,
       "style": "IPY_MODEL_aaa73649192248018f9ce7804e245a4b"
      }
     },
     "3b4eedfc10384898894d98f8682f71d3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3b786f47f45143fe8e15681b2e0df61d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_2bcdbbc1623447b9ad0b22a324bf1cef",
       "rows": 1,
       "style": "IPY_MODEL_b00ce25a62204b51a8d4cde48b53e83c"
      }
     },
     "3b98688b0d6d493d9186ed8092d348ab": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3bce70759d1d494898e580cb2effbcfa": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_ba9ccfb6c48b40c0bbf84a0d3079b55c",
       "style": "IPY_MODEL_51a1c1ae27cb4c1f81fd41178826ac97",
       "value": true
      }
     },
     "3bd5073c79504231b665b74e98228b7a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_dab7dca06b7f4183a2ff323465d6da20",
        "IPY_MODEL_c52a068d85a04c77858d071196807671",
        "IPY_MODEL_ce28183e587f482c9e8fff48ef8184fb",
        "IPY_MODEL_04377f8f4cd74037a468dc443cb752d5",
        "IPY_MODEL_dc5410d8aa154181bbdda4e0513c89a5",
        "IPY_MODEL_02b1051053e54a4d8a4ae1e37dc5e64d",
        "IPY_MODEL_335a1e886b4c444599e891d44ef2904c",
        "IPY_MODEL_377c46969a194ba497d967ef96937419"
       ],
       "layout": "IPY_MODEL_ea48d8881013422b8d2c4d507f711952"
      }
     },
     "3be960d9c941471097491b4de596f743": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3c46a9d2c2c84c6683b7e8ce6d9ad100": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3c8c24ddbb7a42fb92b83e41bc2a799d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_ec6ff115aa1349b5b87faf8a5c9b4de4",
       "step": 1,
       "style": "IPY_MODEL_be09fa071ecc4633b6d6d06e06d7314a",
       "value": 3
      }
     },
     "3c8c9ac4b6dc46fd8988f71cad42f3fe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3cc817ce6b0941538271727a61a4bc5d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_b1261f0ede6e42edb47e1151569ae5be",
       "rows": 1,
       "style": "IPY_MODEL_d9e9c16ca2ed49cdb81f52abd7fcbdea"
      }
     },
     "3ccf206f23f247368a0abde3d7e57ce5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3ccfff54d1d84a0a9cb2281612799a26": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3d03804e6f034e0fb0a44b98d7395896": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3d30b0c189e947ac96c40b3d9616fb00": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3d34592a7bcf452bad6869e07e3ed8df": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "3d731759d2d340b8b116dca796d342f9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "3dce70b42e59472f84548a36834abe0b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3e1253a39d3b403699699b76f2b417a2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3e20048e474f41a7bc5e9c6b8a8d32cd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_785448a792d248f28f29be75720ab3e5",
       "step": null,
       "style": "IPY_MODEL_d60bac0590f741489f58f5cd446a0564",
       "value": -1
      }
     },
     "3e511c9386c14ea89f36dcc0ba8d083a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_ad9f44c1dbbd4b7fa61ccd02de6c05ee",
        "IPY_MODEL_43ec821c9ec440cbbb4ecadcc0a3a8f4"
       ],
       "layout": "IPY_MODEL_4a12acf99e73433ba680877b53648bfe"
      }
     },
     "3e567eec4d1a421ab26e8d4f8025bf57": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3e65213d1c94441c9614db772ebfad28": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_0a37354092074d4b844119e55566efe0",
       "step": 1,
       "style": "IPY_MODEL_0d0fc4bef9ea43658e9dfaaf3776dda3"
      }
     },
     "3ebde66a691949c98785177f0e019b14": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_f6f04280919a4867b1507519b976373b",
       "style": "IPY_MODEL_b244cf8d53554c01a1d90912e859252b",
       "value": "of 94"
      }
     },
     "3ecd61ea09de4eccaa38303b50fff2fe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3f1ae800fc52492e99f9a33c81600070": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_5a55cafba6974a31bd1974c94904ad76",
       "max": 93,
       "style": "IPY_MODEL_48fb1ece5b124259b5bb545e65b89d80"
      }
     },
     "3f1fc23f3db64b588a73bfc7fd90e2de": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_b0200d91ac024347af469bc2f164543a",
        "IPY_MODEL_0ffd3b160bad4bd1883073a8fc198311",
        "IPY_MODEL_d09b4f008ea549c6854f4d8b2e2fa17a",
        "IPY_MODEL_41dce875f47f46cea5906161c03145e9",
        "IPY_MODEL_9cfa06f4a65041ceb47b05f39b7e582e",
        "IPY_MODEL_a4fac56108b241688113242814cf2a92",
        "IPY_MODEL_18c8f23578d94c9c951f34c883d428e0"
       ],
       "layout": "IPY_MODEL_27efc7c6bc5c446484095c7b09f50c34"
      }
     },
     "3f25be08b9ae432fbfe0b34d18f99655": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3f26435bcac448299d421df6d9fa7834": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate",
       "disabled": false,
       "layout": "IPY_MODEL_6324fb29a81745a2a0470785e29043d5",
       "style": "IPY_MODEL_c226319296e14b9198f18b55a74203a1",
       "value": true
      }
     },
     "3f7a778e3f5144ed93466ebf958f8d34": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3f8baf10df244ab7bef940ddc51c2974": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3fa7ff7d901a41c7bd25316d662087b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_9ed1de308dae4932859c46f887de9b72",
       "step": 1,
       "style": "IPY_MODEL_ef18b821cb8b4bcbad9f386ff6f52faa",
       "value": 150
      }
     },
     "3fe69675d5a8498da53f33015505004e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "3feabd9b5b174e07b6ab8f2803d0ad8d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_60a349dfaf784430a509e97ba4776ae3",
        "IPY_MODEL_83a6628bdc744f34ae7f6267a2c49727",
        "IPY_MODEL_c9233069156843b398b9f595daae92e8",
        "IPY_MODEL_58044e1e258a4f1dabb60303a7fed318",
        "IPY_MODEL_16c90a053e8f4e4cae10b66c1ade1dba",
        "IPY_MODEL_c0434c93ee3c47c1bafa5b8d0f447672",
        "IPY_MODEL_4d3a1cd9b2d9419fac43746bf20238ed",
        "IPY_MODEL_33a72df03afe4983870af5fe51f3ef7e"
       ],
       "layout": "IPY_MODEL_7a244df1c2ee4dd5808fdb32523d8bf3"
      }
     },
     "40622facd0c5435a84611d6ecf346e16": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4082ec4f65084aab89fa528412cbb8ed": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_bcb9f2b4acbf45c48cd6825d84baa636"
      }
     },
     "40fdc6377aed415c8b6b7528e0abf475": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "410d66983a0a406da8ed6d51e7a3fd90": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_f1155f03593e444eaac23fb8c7a3d89b",
        "IPY_MODEL_bda4b02170cf472b8d7e30ea4823cf77"
       ],
       "layout": "IPY_MODEL_803c441f69334bc4b1d84f2315f8467d"
      }
     },
     "4126f55e18cf4f17af65b073b78088c4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "412b0f631d1842d9a3f8fa2c81273c33": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "413cca38f2e04112a77ca1a0e6c24df6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "415c437edef144a8bcae314e6c034d5f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "4196e1fbd9d4495a9880241bc4117073": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "41dce875f47f46cea5906161c03145e9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_14759b40865f418687afa7dd853292c0",
       "style": "IPY_MODEL_4389fe2d96144c32bececc529eba1cec"
      }
     },
     "4208dc9cb6154df29c61ff36978428ee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "421eac5a80c54962a27bcff248c593d3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "425efd87b3ad43eb896d2b2028fb054c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "427d8f829e614278a1c34b9d845a80d4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "4298016e56fb42928b2a9ea61435a248": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "42c3453d36a940c4b1a8e998568eb731": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_299bbca713044347b3c5eb8cd30e635a",
       "step": 1,
       "style": "IPY_MODEL_c64dc71691204a1c8ba5435f49ce42dd",
       "value": 3
      }
     },
     "43186ecb1dcf481aa20ee33b7e29ffe7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_286e65c389f14523b164c5426da27d6f",
       "style": "IPY_MODEL_53e8d1d6e7a445b2aca5fe25ab4c0e5a",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 360.0\" max-width=\"100%\" height=\"780\" image-rendering=\"pixelated\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM</text><rect x=\"124.0\" y=\"24\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_output_1\" class=\"LSTM_output\" x=\"125.0\" y=\"25\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"230.0\" y=\"77.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"154.0\" x2=\"175.0\" y2=\"127.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel has shape (4, 1)\n output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"154.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_lstm_2\" class=\"LSTM_lstm\" x=\"75.0\" y=\"155.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"182.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm</text><line x1=\"175.0\" y1=\"234.0\" x2=\"175.0\" y2=\"207.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel has shape (1, 16)\n lstm/recurrent_kernel has shape (4, 16)\n lstm/bias has shape (16,)</title></line><rect x=\"124.0\" y=\"234.0\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_input_3\" class=\"LSTM_input\" x=\"125.0\" y=\"235.0\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"230.0\" y=\"287.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg></p>"
      }
     },
     "4361fea309cc4b6098ef313c70ef56df": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4389fe2d96144c32bececc529eba1cec": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "438d4bf789a7466b9027728a639558e6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "10%"
      }
     },
     "43aebbce73174052933af442deca853d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "43ec821c9ec440cbbb4ecadcc0a3a8f4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_fbc22fc17ce24ad6b7dbccbb361d6b8b",
        "IPY_MODEL_02c4c06b81c9414ebb0e675357cb98a8",
        "IPY_MODEL_19e71f90db224768acea5e72df431de8",
        "IPY_MODEL_19d7ba317f3c4746bc5cbc0c61cd246a",
        "IPY_MODEL_93d57e615a004f358a65f4e78f80b227",
        "IPY_MODEL_574fbfb41b2e42589226b62891c57cc7",
        "IPY_MODEL_644c497f642a44b7bf7ac70e70dc4bce"
       ],
       "layout": "IPY_MODEL_27cd5cbc9ae44056809d739cf92681c9"
      }
     },
     "4422551774e74d9895bce6f01aad7c8e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_c90fdc612fb14a649c8476815abcc46f",
        "IPY_MODEL_2ec5a9b14e98413482cc95c385b801c3",
        "IPY_MODEL_cd213a7fed1f438da87508a4164c31a5",
        "IPY_MODEL_49dfecbed9b643aaaaba531ffaabdc0a",
        "IPY_MODEL_d8e95f8be39448bbbf83aef4b0cbcad9",
        "IPY_MODEL_e2e2d099f5554057a7c18ce451f7e9ad",
        "IPY_MODEL_7b096a6ca7584cde8bea0d4981207c13"
       ],
       "layout": "IPY_MODEL_4648558ff39d4bf88a781530f309f07d"
      }
     },
     "447b12fbfd694178847db8231a138acd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "447c06e8130c4f5b82874cfffc7c8525": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_91625a4e6cb14a2b8aa3eb5f7e7d3d77",
       "style": "IPY_MODEL_ac964492a5bb4db2b6983b2d402857d1",
       "value": true
      }
     },
     "44c83a0e60ca49f8ad6acd9fca2a32bf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "44c9a5a72fe6412d8ebd1cec42bcd4f3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "45026ecdecf34427a97d566a12ce43fe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_9b1bb43b668146e7a05726aff718a82f",
       "max": 95,
       "style": "IPY_MODEL_743bbd9b02d94ad299c821c635837989"
      }
     },
     "45104624d971421985a83c6f8981bedb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_06ec039106324f7bb9f50643dc09c8f0",
        "IPY_MODEL_0f0dbb8fd777463b9cbd1e01bfe66285",
        "IPY_MODEL_a8881e91fc5b44abacbe43979ddeb58f",
        "IPY_MODEL_9e05d144c8ec4da79a4d9c1c9774f86b",
        "IPY_MODEL_15ef5d09776f44de9dd1213b7b9992c4",
        "IPY_MODEL_c2a255e8b0c64680b9cb8971e3aff61e",
        "IPY_MODEL_0a3daac4535a454f84dc9f3455da0eeb",
        "IPY_MODEL_223df03b0f2941c397fe95cb64b6829c"
       ],
       "layout": "IPY_MODEL_22a167b08809434e99abc97856f482ff"
      }
     },
     "45258885e8084c3abcfdcaf1744b840f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "455c20998ec644f5b300aad9140eb05f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "4573cc1ebc7e4a958505b40de3a2f904": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_2f41a4d2a09f4fd9894d0c060fc6ab34",
        "IPY_MODEL_6850b85cb3534effb63cad7fae0eb052",
        "IPY_MODEL_5d141f6c10644eb2a790b6c06e790593",
        "IPY_MODEL_bfb4edc4b4a64cb99704ace818dbc318",
        "IPY_MODEL_c855cde28e2a49afa8d25b1972cb0bb2",
        "IPY_MODEL_278c840a7e864fe99f657658cc5d0723",
        "IPY_MODEL_785b8a45dd3a47acbe6ce2a503143587"
       ],
       "layout": "IPY_MODEL_36f8247d410e4567ae365e24a9de6f10"
      }
     },
     "459d614bbb1d4f94a3dec7527361d6d9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_93d0a138a84c4eee9bff3a5b58dbaa6b"
       ],
       "layout": "IPY_MODEL_e76787dbfd8640d3b1a2e2b986ee4485",
       "selected_index": null
      }
     },
     "45a3fa82f35849c9b8819a6b28f414f0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "45bbe9df99ce4769b828d1e9f9f733ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "save",
       "layout": "IPY_MODEL_12c52265e71e4159a597e17ce8d0504a",
       "style": "IPY_MODEL_ed14fb14dd054f75af93595083a6018e"
      }
     },
     "46034f5ed78d4af2873bdee69c3ba27c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "461d06fbafe74a6cbd5f549288e162f1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_f0d43f76890849678d65b0ef5bf5a3b7",
       "style": "IPY_MODEL_9d9cad63543046e0bb7a78d1b19b1d6b",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 360.0\" max-width=\"100%\" height=\"780\" image-rendering=\"pixelated\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM</text><rect x=\"124.0\" y=\"24\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_output_1\" class=\"LSTM_output\" x=\"125.0\" y=\"25\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAP/9/QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAI/wABCBxIsKBBgQESKlzIEIDDhxAjSpwIMUAAABgzatzIsaPHjQECABhJsuTIAABSqlzJsqXLlzBfBgBAE0AAADhz6tzJs6fPn0B1BgAQAIDRo0iTKl3KtKlTpAEAAAgAoKrVq1izat3KtWvVAADCigUQIACAs2jTql3Ltq3bswECAJhLt67dugHyAtjLt6/fv4ABBBgMoLDhw4gTJw7AGIDjx5AjS54MIIBlAJgza96sOUAAAKBDix5NurTp06ADBADAujWAAABiy55Nu7bt27hzxw4AAEAAAMCDCx9OvLjx48iFBwAQAIDz59CjS59Ovbp16AEAaAcQAID37+DDi/8fT748+QAA0qtfnz5AAADw48ufT7++/fkBAgDYz7+/f4AABA4kWFBgAIQJAwAI0NBhAAARJU6kWNHiRYoBNALg2NHjR5ABRAIgWdLkSZQpAQQIAMDlS5gxZc6cGSAAAJw5de7UGQDAT6BBhQ4lWtRoAABJlS5NGgDAU6hRpU6lWtXq1AAAtG4FEADAV7BhxY4lW9bs2QAA1AIIAMDtW7hx5c6lW9eu2wAAAAQA0NfvX8CBBQ8mXPhvAAABACxm3NjxY8iRJU92HCAAAMyZNW/m3NnzZ9CaAwAAEADAadSpVa9m3dr169MBAMwGEADAbdy5de/m3dv37wAAhA8HEAD/wHHkyZUvZ97c+fIAAKRPpy49AADs2bVv597d+/cAAMSPJ1+efIAAANSvZ9/e/fv3AQIAoF/f/n38+QEE4A/AP0AAAgcSLDgwAEIAChcybOjwIUSFASYCqGjxIsYAGgFw7OjxI8iQIgOQBGDyJMqUKlEGaAngJcyYMmfSDBAAAM6cOnfy7LkzQAAAQocSLWpUaAAASpcyber0KdSlAQBQrWr1qtUAALZy7er1K9iwYAMAKGv2LNoAANaybev2Ldy4ctcGAGD3Ll4AAQIA6Ov3L+DAggcT/hsgAIDEihMHCADgMeTIkidTrmx5coAAADZzDhAAAOjQokeTLm36tOkA/wEAsGYdAADs2LJn065t+zbuAAB2AwgA4Dfw4MKHEy9u/PjvAAAABADg/Dn06NKnU69uHXoAAAEAcO/u/Tv48OLHk/ceAEAAAOrXs2/v/j38+PLZBwAQAAD+/Pr38+/vHyAAgQMJFjQoMACAAAAYNnT4EGJEiRMpOgwAIAAAjRs5dvT4EWRIkRwDAAgAAGVKlStZtnT5EqbKAAACALB5E2dOnTt59vSJMwAAAAEAFDV6FGlSpUuZNi0aAEBUAAEAVLV6FWtWrVu5dg0AACzYAAEAlDV7Fm1atWvZrg0QAEBcuQECALB7F29evXv59tUbIAAAwYMFBwgAAHFixYsZN5Z2/FhxgAAAKFe2DCAAAM2bOXf2/Bl0aM0BAJQ2fRp1AACrWbd2/Rp2bNgBANS2fRv37QAAePf2/Rt4cOG9AwAwfhx5cuXGAwQA8Bx6dOnTqUsPEABAdu3buXf3HgA8APHjyZc3Tz5AegDr2bd3/x5+/ADzAdS3fx9/AP0A+Pf3DxCAwIEECxo8iLBgAAAMGzp8CDFiw4AAOw==\"><title>Layer: output (output)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"230.0\" y=\"77.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"154.0\" x2=\"175.0\" y2=\"127.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel has shape (4, 1)\n output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"154.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_lstm_2\" class=\"LSTM_lstm\" x=\"75.0\" y=\"155.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"182.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm</text><line x1=\"175.0\" y1=\"234.0\" x2=\"175.0\" y2=\"207.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel has shape (1, 16)\n lstm/recurrent_kernel has shape (4, 16)\n lstm/bias has shape (16,)</title></line><rect x=\"124.0\" y=\"234.0\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_input_3\" class=\"LSTM_input\" x=\"125.0\" y=\"235.0\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAPr6/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAI/wABCBxIsKBBgQESKlzIEIDDhxAjSpwIMUAAABgzatzIsaPHjQECABhJsuTIAABSqlzJsqXLlzBfBgBAE0AAADhz6tzJs6fPn0B1BgAQAIDRo0iTKl3KtKlTpAEAAAgAoKrVq1izat3KtWvVAADCigUQIACAs2jTql3Ltq3bswECAJhLt67dugHyAtjLt6/fv4ABBBgMoLDhw4gTJw7AGIDjx5AjS54MIIBlAJgza96sOUAAAKBDix5NurTp06ADBADAujWAAABiy55Nu7bt27hzxw4AAEAAAMCDCx9OvLjx48iFBwAQAIDz59CjS59Ovbp16AEAaAcQAID37+DDi/8fT748+QAA0qtfnz5AAADw48ufT7++/fkBAgDYz7+/f4AABA4kWFBgAIQJAwAI0NBhAAARJU6kWNHiRYoBNALg2NHjR5ABRAIgWdLkSZQpAQQIAMDlS5gxZc6cGSAAAJw5de7UGQDAT6BBhQ4lWtRoAABJlS5NGgDAU6hRpU6lWtXq1AAAtG4FEADAV7BhxY4lW9bs2QAA1AIIAMDtW7hx5c6lW9eu2wAAAAQA0NfvX8CBBQ8mXPhvAAABACxm3NjxY8iRJU92HCAAAMyZNW/m3NnzZ9CaAwAAEADAadSpVa9m3dr169MBAMwGEADAbdy5de/m3dv37wAAhA8HEAD/wHHkyZUvZ97c+fIAAKRPpy49AADs2bVv597d+/cAAMSPJ1+efIAAANSvZ9/e/fv3AQIAoF/f/n38+QEE4A/AP0AAAgcSLDgwAEIAChcybOjwIUSFASYCqGjxIsYAGgFw7OjxI8iQIgOQBGDyJMqUKlEGaAngJcyYMmfSDBAAAM6cOnfy7LkzQAAAQocSLWpUaAAASpcyber0KdSlAQBQrWr1qtUAALZy7er1K9iwYAMAKGv2LNoAANaybev2Ldy4ctcGAGD3Ll4AAQIA6Ov3L+DAggcT/hsgAIDEihMHCADgMeTIkidTrmx5coAAADZzDhAAAOjQokeTLm36tOkA/wEAsGYdAADs2LJn065t+zbuAAB2AwgA4Dfw4MKHEy9u/PjvAAAABADg/Dn06NKnU69uHXoAAAEAcO/u/Tv48OLHk/ceAEAAAOrXs2/v/j38+PLZBwAQAAD+/Pr38+/vHyAAgQMJFjQoMACAAAAYNnT4EGJEiRMpOgwAIAAAjRs5dvT4EWRIkRwDAAgAAGVKlStZtnT5EqbKAAACALB5E2dOnTt59vSJMwAAAAEAFDV6FGlSpUuZNi0aAEBUAAEAVLV6FWtWrVu5dg0AACzYAAEAlDV7Fm1atWvZrg0QAEBcuQECALB7F29evXv59tUbIAAAwYMFBwgAAHFixYsZN5Z2/FhxgAAAKFe2DCAAAM2bOXf2/Bl0aM0BAJQ2fRp1AACrWbd2/Rp2bNgBANS2fRv37QAAePf2/Rt4cOG9AwAwfhx5cuXGAwQA8Bx6dOnTqUsPEABAdu3buXf3HgA8APHjyZc3Tz5AegDr2bd3/x5+/ADzAdS3fx9/AP0A+Pf3DxCAwIEECxo8iLBgAAAMGzp8CDFiw4AAOw==\"><title>Layer: input (input)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"230.0\" y=\"287.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg></p>"
      }
     },
     "4648558ff39d4bf88a781530f309f07d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "464c6648412a4a7bb7778d5516a5c907": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_12b0108d49684044a01c4b4ca8ee9fce",
       "step": null,
       "style": "IPY_MODEL_643c0fb202104c25bd07781922093cec",
       "value": 1
      }
     },
     "4663779f19bd4b13895a32629a34a8ae": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_7565d502eecd4ee382ced324e628c814",
       "rows": 1,
       "style": "IPY_MODEL_9ccfb472a52743c0a4c793d172182cd7"
      }
     },
     "46cd3ea435d44f61833f95161cc9a1b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_4fcf8dcb183b43ae9437fc6fe6dde3a2",
        "IPY_MODEL_d2716e77ec3c4b6db7642fe2435cc49d",
        "IPY_MODEL_da3bfdcb89aa43038b178faedbda7346",
        "IPY_MODEL_615e0c7b07ee4efda6751efd39513128",
        "IPY_MODEL_c29c0934f9c64a0ba29bbf0cd61084ef",
        "IPY_MODEL_7c396c612f584f2b96d2c0d55c16d592",
        "IPY_MODEL_fb9f8b70d4514857a42bba1af6497b3e",
        "IPY_MODEL_a03fc5ea5daa44dda44e25c8dfd9dca5"
       ],
       "layout": "IPY_MODEL_9a17f495e23843a6b8f5b70c7e9a6bfa"
      }
     },
     "46e9e151966240028a69c0631fd5adca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "46ec2694ed0a442cb2af41cffdffe3ea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "47317aebdd594de89f5dbcc4fd1cbe92": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4806bff7ed5f424aa1584240c072bfee": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "48291300d13a4f4ca7b4102b1d0d4674": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_4da126e2aed240ada6e01233dcdc6d28",
        "IPY_MODEL_8e9b2f8eba144fbe9bce2b0cd5071500",
        "IPY_MODEL_9ec4333220bb4e6d8f44fbf9b7fd1d8b",
        "IPY_MODEL_ee7e99e84df044918448fa6af889c146",
        "IPY_MODEL_bc306bb28eaa4c50958a3b49cf11aa34",
        "IPY_MODEL_2da1f8e782754d28a38756e8b43340b9",
        "IPY_MODEL_7cf41e9f1ebe442aa2ec1068f5e885a8"
       ],
       "layout": "IPY_MODEL_856d33e1007a427a8d40370dbf517d19"
      }
     },
     "48313ff832c347788fe18ae1330a2515": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "48899a7497e74e65ad67ac90131d237a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "48d5c5fbe4cd444eaa5bca2c68880ead": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "48da9a96a24b48c2b494fba83768290e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_66aba69384414a38a45f30becc7cc639",
       "step": null,
       "style": "IPY_MODEL_d486691b87e24248860671fe48cb06ca",
       "value": 2
      }
     },
     "48f9e30ddc1e467e88d12c7482cf32fb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "48fb1ece5b124259b5bb545e65b89d80": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4905e7c7355f45c78d4181d77db80dc5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "4908b765d04042ac836e4e5e538a15a5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_5d06ee45df4e4a20ac378e501db18a3b",
        "IPY_MODEL_9c131094a10e410bb2d43447dbd159bb",
        "IPY_MODEL_2f0a186216f34774843119aaf5fd6e8b",
        "IPY_MODEL_9590eba3322349eba1267fb2365efeee",
        "IPY_MODEL_60c77404611c4c76b28518c9494047b1",
        "IPY_MODEL_f0536ab169cd408a9e5a5ba16b55b947",
        "IPY_MODEL_9116797397744c279680bed4f87e69ed"
       ],
       "layout": "IPY_MODEL_d04ec0da94f54449bb160d567e9be0a2"
      }
     },
     "49dfecbed9b643aaaaba531ffaabdc0a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_54e2e89c26344d2bb3779b9541b348a8",
       "style": "IPY_MODEL_dfc9580cea344d5ebcf071d502f2152e"
      }
     },
     "4a049ed9d6f14045be036adb2c839e58": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "4a12acf99e73433ba680877b53648bfe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4a31ea08b7344f68beaae168fb636fd6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_62655f3f7b6646aa9005b43c8fad0ebd",
       "style": "IPY_MODEL_376470bdfd3c46abacffeefd187b92a4"
      }
     },
     "4a844a6ee7c64e5caabdf893232e31be": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "4a9a68e6a5434aadbfddaaeeace83aa2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_b1261f0ede6e42edb47e1151569ae5be",
       "step": 1,
       "style": "IPY_MODEL_c3ab5b69b0dc47199ef81c9a78789961",
       "value": 30
      }
     },
     "4ac8ff66d935415286502c88777f4b05": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "4af4141f59774c7c98b5e1cce5b3b610": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "4b06cb00e3a446b88a3d3d2272a199d4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_ba9ccfb6c48b40c0bbf84a0d3079b55c",
       "style": "IPY_MODEL_7f7b7bce85624656a003d841d6deae83",
       "value": false
      }
     },
     "4b17d57686f449659e19b0a2a3ee0f6e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4b2e2935ec7a4ef185479fc7af09d6ab": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4b669124deab411fb4f488ec711957e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "4bb4871935bd468e977ceb4a7ae374a6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4c08530bb0f94643b5e5117b77511189": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4c0e270278344701914bb8a130c05e10": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4c33c0c259cb4cf7b988bb184a941b3a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "4c932ffd5f894585a759bc582518dc74": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "4c976199ff6b44898efa9c85ceec70f6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_fcf84ba9a50c4ab5b23eae5a40beb70f",
        "IPY_MODEL_3a25b75032f443f28be6ff0eb59486d2",
        "IPY_MODEL_50ce8cf783d54f03b1da528a1b78c8a1",
        "IPY_MODEL_52d7f51b7d944249b48dcfe13956bb3d",
        "IPY_MODEL_158fe89f1065423e9ce7b36673d8db57",
        "IPY_MODEL_a921d82768754c2598f3766cb7aa9607",
        "IPY_MODEL_7e1a045a530e4b2099a32a9f155334dd"
       ],
       "layout": "IPY_MODEL_acdc37c4b748451eaccbe6171030d8b5"
      }
     },
     "4ca37f83e9b84dab99ad2b985c107b9d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "4caf52cb63d6462980dbec3b3e9289f5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "4ccba9e62a1948d1b3d48f841631f27b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4cd91cd593e54762b68377b11542a00e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "4cffe1fd7c26483e9818683479b646e8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4d026638493a42c4af741ac1053c5119": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4d25d6ea87884b1ca7a37b983f82f17c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4d362fc3e82d4f3088fcb1fe50257095": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4d3a1cd9b2d9419fac43746bf20238ed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_4d026638493a42c4af741ac1053c5119",
       "step": 1,
       "style": "IPY_MODEL_3f25be08b9ae432fbfe0b34d18f99655"
      }
     },
     "4d5ae88eb11c4788888526472ac812a9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4d8517eed9384ec283042e6bb7064eab": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "4da126e2aed240ada6e01233dcdc6d28": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_447b12fbfd694178847db8231a138acd",
       "style": "IPY_MODEL_5f9ecbacd6b848c3aa40f87dc31429d7"
      }
     },
     "4dbb64b7e63544a3ad0860d47b3768d7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_ee092f116ccd49e6a5bdf55b0eb71bd6",
       "style": "IPY_MODEL_cee37eb42382424ca6f2020e73e110f8"
      }
     },
     "4e1f7ffd8e3b4e56bbbc7d2c1040f01e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_cc72d7bb08b5453c9e0a033f2cd87785",
       "style": "IPY_MODEL_8b70a3bf0f6c4b95b2aafd7e042f1251",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "4e945b1ad8bd491dab022a5be70f7824": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_57a2649b043f4a339159d6b5da222543",
        "IPY_MODEL_7044794343584b52a84d9d1d01bdeee0",
        "IPY_MODEL_85bc53ccb4e94fa099dd3140eafd7a77",
        "IPY_MODEL_2a0a4d24d877437da14de92eb0004a9d",
        "IPY_MODEL_c069865dea134dce85727ca2ffd71b1a",
        "IPY_MODEL_02924153f55c4fd4a910ade9c297fa05",
        "IPY_MODEL_dcfc9d5cb21744f7bb1851b203e4542a"
       ],
       "layout": "IPY_MODEL_a7a0b96e26444ec099763f23108a034f"
      }
     },
     "4ecdadfbe36b4247a40af22bfc9a842a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4f04b6d13a744bd5b620416530756693": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "4f4e12f647634d72846f008734145f31": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_6a2d538ce2534f3b81c819c40e3e419f",
       "rows": 1,
       "style": "IPY_MODEL_6e32e60c9c814698a15fe43240f893f7"
      }
     },
     "4f547d52d7b941d2a7745f3f0d782bcc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4fa6484183ef4731a45715cb49fba2a0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_24f20410ceba45de927b919fdcb5777d",
        "IPY_MODEL_ff61ee6b0c514eb39d263d198f6e5346"
       ],
       "layout": "IPY_MODEL_9b86b01f8c5f40ca8648a9acd612bad6"
      }
     },
     "4fb66f57b6424b0a97524fa2285afe88": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "4fcf8dcb183b43ae9437fc6fe6dde3a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_71d35ab05f61499884a1910316e83795",
       "rows": 1,
       "style": "IPY_MODEL_019282c908a442d98532aab032779215"
      }
     },
     "4fe4f218f7de42aaa5bca3967c3694e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "4ffe7d4d7bd14ab9ab7bb6d1f3c53b8f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "503ec2a3cfa84ee6b50b8176c536a960": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "50ce8cf783d54f03b1da528a1b78c8a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_c05e64792e854460ab7cb71e4fa84ecf",
       "step": 1,
       "style": "IPY_MODEL_e4c8454622a346a58cb9498fd31a080d"
      }
     },
     "5153b05db6af448c90a956f3a757b75f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5156d0eb86704aa099d979a68749d905": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "515bb08e80ad4d65838b18619a3c3e5a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "515e95ba5ee34a30bd7bc3d41c2fcf3c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "51a1c1ae27cb4c1f81fd41178826ac97": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "51b0e3f8dfd54130a166e167def222ed": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "52a92f4b11b5420998ad0b563946f25d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "52d7f51b7d944249b48dcfe13956bb3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_828e7a0c3af24e2b8b08bce918f43a96",
       "style": "IPY_MODEL_5c4eb4e94e9b4537818520d7d3ef0993"
      }
     },
     "52d9c41d58b1449098e96af2df93ec1f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "52fc9d9082914c89b24d865ac4c4e20e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "536e94b47f8d494fa2b1989ba6e23bc0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_ff28ad16a56843b3a826a04056530b89",
       "step": null,
       "style": "IPY_MODEL_300ad647db5c489384ca86d36cd3d871",
       "value": -1
      }
     },
     "539047edc50d40e4ad439abd4ad0dc7e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_4ffe7d4d7bd14ab9ab7bb6d1f3c53b8f",
       "style": "IPY_MODEL_8a535127a88c4fa284f2ad336473f70d"
      }
     },
     "53c98aa907fc4e73a54dd1cb2871f297": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "53e8d1d6e7a445b2aca5fe25ab4c0e5a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5427ccfb4eb24e2791e3d670dde475f9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "54ae3bc915a043a1b25a6e899637c9af": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "54cbc0b884a749f19da9e3580b313823": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "54e2e89c26344d2bb3779b9541b348a8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "54f8e13c768b4b18b02457ea98c90ce1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "55134d0052f94c3f96ccb80e5e1ba50c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "55d86b4689984fc983f736bd3321c54a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "561119d9c9cb4c4aaeb2814e6b59b638": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_c02399a83d8b4f53b50b73d7ec91de41",
        "IPY_MODEL_88759a1809134124b411ae4997f7097c"
       ],
       "layout": "IPY_MODEL_56910b0b17f34409a3e1d0b131d7d0c8"
      }
     },
     "56272e772ead4c9491a1a4980206efb9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5649060fcdb146d5a9ba2f078e4ce580": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "5649c7dbdaa742d1a1157550b7d885bf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "566050c0b1e64ab799ec5640e8fcb8d0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "56910b0b17f34409a3e1d0b131d7d0c8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "56fd309aa4924efea2a87a3e47e1cb88": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "5710680270c248eb8cee32a0dcce4efb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "574e2695f0e9402b9af1f96355baa9b2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "574fbfb41b2e42589226b62891c57cc7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_c4ef1304fec7482095470db1428d4418",
       "step": null,
       "style": "IPY_MODEL_e0f09b76c8e2426caae53edffadd254b",
       "value": 1
      }
     },
     "5756c5e3e9dd4fd48f1eece728e27e56": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "576ee8752a0141ca9953172ecdf089e3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5784a6031e8842a996a3c3bda9bd617e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "57a2649b043f4a339159d6b5da222543": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_904caa5a9569429dad7e9866aefe1933",
       "style": "IPY_MODEL_8034d2a7e1d7474ab473e802788c2b5e"
      }
     },
     "57ad5f69f4054d5f89117826d1de9bc3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "57b125101ede4fe6b61319a76b8f350b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "58044e1e258a4f1dabb60303a7fed318": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_64113baa49f1493faa98f44f296ba966",
       "style": "IPY_MODEL_5b3b22849ef142d99acb69aee424db10",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "5870c42008524917928af1466327ded3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_4126f55e18cf4f17af65b073b78088c4",
       "style": "IPY_MODEL_373b879610fc41beb24de88d36b72cf3"
      }
     },
     "588cdcde5f98420f978c56bcbcbc57b4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "589f25e142b14f77a56694f7c8f34c52": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "58d0d384eafb422dab99a041049d4496": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "590df3ceb4934705a57a4df3e61630ce": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_24f74e3df8d24c9ca217115879e4bd87",
       "style": "IPY_MODEL_9fbaab4b5bdc43fcbe0b8e625237d386",
       "value": false
      }
     },
     "591db9a0fabc417b9ee8fd22bab71622": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_1e65574243e74404b2e3d4ee88e742cb",
       "style": "IPY_MODEL_3be960d9c941471097491b4de596f743",
       "value": "<p style=\"text-align:center\"></p>"
      }
     },
     "592b28eecf1f41c19c5d9c0fc335058c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_38bb50dc797a4f709f0cd802d3cc49f0",
       "style": "IPY_MODEL_3af2d4ed745040da96f6b31d1324ef2c"
      }
     },
     "5945bf3f124747db8924697242d5f17f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "5989395f6cfc48c89eb0713e62049db3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_d5178150c4834eacbfccc5e8c952171d",
       "step": null,
       "style": "IPY_MODEL_34dde277b7ee4ade91d29ef0b9d64eb1",
       "value": -2
      }
     },
     "5a296923c5bc42e9bc12a8f07a9f2908": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "5a55cafba6974a31bd1974c94904ad76": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "5ab34fd0b2364e228024a22d5252a09f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_d5610e45aa334bdc96f168a6e5e11b6b",
        "IPY_MODEL_8bee8072374a4edbbc2fb53aed7937be",
        "IPY_MODEL_3cc817ce6b0941538271727a61a4bc5d",
        "IPY_MODEL_1a64adaae50b4a0c837c4195af9508a9",
        "IPY_MODEL_6234e6d26104445f8c61730a3b9ce88a",
        "IPY_MODEL_67e44f516b914994861041e00e849534",
        "IPY_MODEL_331ce16c920545b18de3368770592392"
       ],
       "layout": "IPY_MODEL_a00954cf94ed457688c7a317bdbaf405"
      }
     },
     "5ae4d5f066974d83b3267dac178fe87a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5ae5dc8ba5894d639ec75499b225dbb4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5aec269d533f462a9f6318e0c0d5b0fc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5aec57ea5440412d8123246db5503cfb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_665d35632a5b461d824292dc0b47f25f",
       "step": null,
       "style": "IPY_MODEL_1a169a2267224b3386fe6185ea72c8ca",
       "value": 1
      }
     },
     "5b1386914feb4fb49fdbb04a2807a470": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "5b282054852b4548b49e2df9ee39aa86": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "5b3b22849ef142d99acb69aee424db10": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5b3f4735c0784bec8453f5308524e0fc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_7a6f0bc46a9a4c92af65cfeeeba6c714",
       "style": "IPY_MODEL_775674e9337c4d46b6630f4d426c3126"
      }
     },
     "5b4abd866670442aa78a9e5411047413": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "5b83950ed12f41119a97c60235d52a71": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "5c21c4f1549944b6a3702652f52c9d3e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_6d866ae781964b2fbd39f917297f45be",
       "rows": 1,
       "style": "IPY_MODEL_18f1108dd57d403d99e1a4119f2a3e1a"
      }
     },
     "5c4eb4e94e9b4537818520d7d3ef0993": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "5c5125bdf7134446bc7ee5c29f27eafc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5cdf4486984e408ab2be0d97c2f1a902": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5d06ee45df4e4a20ac378e501db18a3b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_de8854b4dd6e47d3b5cccb92c39da780",
       "rows": 1,
       "style": "IPY_MODEL_eba82f48781242e09946c40d273c8bbe"
      }
     },
     "5d0d560e06ff4120996f017767eca3c2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_fdf00c8f7a414d3fbc9619134567027e",
       "style": "IPY_MODEL_1f49d190b557417e9bccc44b154004d3"
      }
     },
     "5d141f6c10644eb2a790b6c06e790593": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_20642263d5e249929646661c517bbe00",
       "step": 1,
       "style": "IPY_MODEL_e53b295523544ba0af820893487d7e6a"
      }
     },
     "5d41ab0a75af465ebc34c6cf0e3c9acb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "5d6b973fe38846a1936133944d0c42c3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_7700456f20844e7491be05554325be1a",
       "rows": 1,
       "style": "IPY_MODEL_395c0e23dc27434ab80487a6478ad368"
      }
     },
     "5d6fdd2de6e44e0283a5226534209ff3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_f25804fb03cd453db781d368e85ca441",
       "style": "IPY_MODEL_b291c9aa48a3434f81c3840a6e045640"
      }
     },
     "5daf67fbbfa74bafa1f6d40b7a9d1b6f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5de41687409d407f9b977fd5ae2d3c6b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5e4d386ae2d6476aa3ba019ca875a7d9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_adc539d4501d47829fb98bb713742dbc"
       ],
       "layout": "IPY_MODEL_f3e3f53cdbdb4326ae8dd9b02b4e6b64",
       "selected_index": null
      }
     },
     "5eb918ba791c44c8bee246b954b85c24": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_9b74852b88a348219e03d32d7bd34fdd",
        "IPY_MODEL_ec964f8e51f449a1a34f8acb430918ca"
       ],
       "layout": "IPY_MODEL_13a4b8f937344979a82da09a60ea1e3c"
      }
     },
     "5ef3f9b5a5554aa6b9e6e289434b2ee9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_c4c91859c6ce4e689767122b3d51e979",
       "step": null,
       "style": "IPY_MODEL_2478718595684e21a474c4b3867fb28d",
       "value": -1
      }
     },
     "5efe0d56c8dc42df93226dc6872caaa5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_44c9a5a72fe6412d8ebd1cec42bcd4f3",
       "step": null,
       "style": "IPY_MODEL_3fe69675d5a8498da53f33015505004e",
       "value": -1
      }
     },
     "5f4715e5aba54bc58d6dea62c964563b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "5f4dbad42b7f48df9edfb35fd282fe43": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5f9ecbacd6b848c3aa40f87dc31429d7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "5fee2a2e94e94eb2a3407a48702b51b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "6006bcb14b464473aa7770f6e79a1e02": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "6034c540a12248aaae6d3e63de241d09": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "60912c7380604e1db3409ca12d70769c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_278790a9c58e4f7db090f4e4601ce453",
        "IPY_MODEL_08f54530a10b41aaaf0eb3e0dec4b546",
        "IPY_MODEL_a1d4656d3eda435584c18c230a869538",
        "IPY_MODEL_1ddcc3c9262f4273a00591bc83e08580"
       ],
       "layout": "IPY_MODEL_d1dfb75902be4888adabec9c97f55e8f"
      }
     },
     "60942462e27b4d90bcefc5d90c72696e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "60a349dfaf784430a509e97ba4776ae3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_bcb0f0ff0c2e44909fbc4706f7c484bb",
       "rows": 1,
       "style": "IPY_MODEL_1a0d06255ed64aef95a41368204628ca"
      }
     },
     "60a8f751c53f4e319d073865bd831cbe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "60c77404611c4c76b28518c9494047b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_1525f96e53cc408697509f9dca977451",
       "step": null,
       "style": "IPY_MODEL_5427ccfb4eb24e2791e3d670dde475f9",
       "value": -1
      }
     },
     "60e5ecedc178465fb1bd658d4a114c4c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_3e1253a39d3b403699699b76f2b417a2",
       "step": 1,
       "style": "IPY_MODEL_ff27c625e29e4b13a8ea58182bab3821",
       "value": 3
      }
     },
     "612f634a01d9486b9d24cfea1a057b5b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "6138019a90a2482084aa4eac70c68f82": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_1ee2f0271f8341d2a1d1461c040fe550",
        "IPY_MODEL_79d9aaed4e204731be3ab2e18d8c1124"
       ],
       "layout": "IPY_MODEL_a68f4d88e56245a3a9578a1acd42dbbc"
      }
     },
     "6156736fd04f4b89a4250d619e4f5bf6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "615e0c7b07ee4efda6751efd39513128": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_5aec269d533f462a9f6318e0c0d5b0fc",
       "step": 1,
       "style": "IPY_MODEL_20f81a5233964eeb8efd08f0b32d7750",
       "value": 30
      }
     },
     "6165285dab23473a81953d557f62fa5e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "61c7c37a77df48b8b0f247aae7bda738": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "61d4981a794640cb8c147f8a0cca0b61": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "61daa6c7ccca4f5b95147050672ca8b8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "61fdf68cd12f408b82da458ac48cfbb9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "620980875bb949b5b1d0addaf0f87bab": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "6234e6d26104445f8c61730a3b9ce88a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_0ce334c433c9424e84cb50f552166bc1",
       "step": null,
       "style": "IPY_MODEL_29d07d19725f4940a3be5381fe72b6e7",
       "value": -1
      }
     },
     "62655f3f7b6646aa9005b43c8fad0ebd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "6269f0f7da8b4dd6a5e6faf63a474d93": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_0b4b239c2b8a4817b08185c09e9f1f66",
       "step": 1,
       "style": "IPY_MODEL_9b41d08a37714e3aa4b5c99f80cff118"
      }
     },
     "628085fa8b514c62b7b59253b80dfd27": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "62cea20f183545cc8f470b21446ac9ad": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_e9cc72f4cdb14bd58226662af34a77d0",
       "rows": 1,
       "style": "IPY_MODEL_3227953d8f594556831d9820ae047e0c"
      }
     },
     "6312d6377a0a4d13a75a2197852a7acb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_eddf307594ad4c09baf3db837b9cdd98",
        "IPY_MODEL_a90b4b0ef60e48ebad610d5abbb4e07b"
       ],
       "layout": "IPY_MODEL_6cd09d85a95240c4be981cbb79437543"
      }
     },
     "6324fb29a81745a2a0470785e29043d5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6375c990f4c84abfa731d1c0512e8e11": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_91625a4e6cb14a2b8aa3eb5f7e7d3d77",
       "step": 1,
       "style": "IPY_MODEL_2f5c1ab71590426f9210af73ef62a2bc",
       "value": 150
      }
     },
     "64113baa49f1493faa98f44f296ba966": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "64236af927f141d89cb1ae437f7a332a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "643c0fb202104c25bd07781922093cec": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "644c497f642a44b7bf7ac70e70dc4bce": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_36906ca4402a479ba9a22cb0ba81ee89",
       "step": 1,
       "style": "IPY_MODEL_6dcbe7eef53e43b8a8db096d52306150"
      }
     },
     "64e5a95fd499410c8ee55d40954e2ba0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_a4ecac9657744c8a89c2e358ec315372",
       "style": "IPY_MODEL_a6e3b56de1bc4a8caac568cc78bdd41d"
      }
     },
     "6513038ae8224157bf681ec980f4c697": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_867e90c2603649cf8b25c009b93b5b6f",
        "IPY_MODEL_4908b765d04042ac836e4e5e538a15a5"
       ],
       "layout": "IPY_MODEL_d09453949b95464d99f4b8fc7a2e91c7"
      }
     },
     "659d42a93b184d00bd9270b1bc3a50b5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "65b01549fff141708cb2fea80bf393b5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_561119d9c9cb4c4aaeb2814e6b59b638",
        "IPY_MODEL_4e945b1ad8bd491dab022a5be70f7824"
       ],
       "layout": "IPY_MODEL_48313ff832c347788fe18ae1330a2515"
      }
     },
     "65c09bd7d6474351890c7601becfe256": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_79f1e892c29e454d945ace604a26bdf1",
        "IPY_MODEL_65b01549fff141708cb2fea80bf393b5",
        "IPY_MODEL_cd196e32cb9642c7904f6da1b24affc3",
        "IPY_MODEL_681314b2a7134eac873e5d78af4aef0f"
       ],
       "layout": "IPY_MODEL_fc475b2a1194488dbb049702bffb8375"
      }
     },
     "65cb78d1938245e397ffa6297dd77d15": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "65d20a0fbf924e299fe559f0e631f36f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "65dc139d9c2444068861f4c73497cb4a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "65de1384be2a43a8b29862cead90df7a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_c8aad6fd0c8349d69ee1b26afb2f4476",
        "IPY_MODEL_f39b67de1cb9431187537788a575e0c4"
       ],
       "layout": "IPY_MODEL_06577a5b08f94fc89c749d859ba92b97"
      }
     },
     "660af4a4508d4d468a15dbbe3ffcc72e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM with Window and State"
       },
       "children": [
        "IPY_MODEL_69f786c93b1d4c7097b816e3c57a087d"
       ],
       "layout": "IPY_MODEL_0fd4da90c83849dab4b7349719a00471",
       "selected_index": null
      }
     },
     "665d35632a5b461d824292dc0b47f25f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "66a4c56ae9b74f50b4c14bac587c7377": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_455c20998ec644f5b300aad9140eb05f",
       "style": "IPY_MODEL_9d01e41c255b45fc9812d4aab415c67d",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 360.0\" max-width=\"100%\" height=\"780\" image-rendering=\"pixelated\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM</text><rect x=\"124.0\" y=\"24\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_output_1\" class=\"LSTM_output\" x=\"125.0\" y=\"25\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"230.0\" y=\"77.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"154.0\" x2=\"175.0\" y2=\"127.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel has shape (4, 1)\n output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"154.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_lstm_2\" class=\"LSTM_lstm\" x=\"75.0\" y=\"155.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"182.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm</text><line x1=\"175.0\" y1=\"234.0\" x2=\"175.0\" y2=\"207.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel has shape (1, 16)\n lstm/recurrent_kernel has shape (4, 16)\n lstm/bias has shape (16,)</title></line><rect x=\"124.0\" y=\"234.0\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_input_3\" class=\"LSTM_input\" x=\"125.0\" y=\"235.0\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAPr6/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAI/wABCBxIsKBBgQESKlzIEIDDhxAjSpwIMUAAABgzatzIsaPHjQECABhJsuTIAABSqlzJsqXLlzBfBgBAE0AAADhz6tzJs6fPn0B1BgAQAIDRo0iTKl3KtKlTpAEAAAgAoKrVq1izat3KtWvVAADCigUQIACAs2jTql3Ltq3bswECAJhLt67dugHyAtjLt6/fv4ABBBgMoLDhw4gTJw7AGIDjx5AjS54MIIBlAJgza96sOUAAAKBDix5NurTp06ADBADAujWAAABiy55Nu7bt27hzxw4AAEAAAMCDCx9OvLjx48iFBwAQAIDz59CjS59Ovbp16AEAaAcQAID37+DDi/8fT748+QAA0qtfnz5AAADw48ufT7++/fkBAgDYz7+/f4AABA4kWFBgAIQJAwAI0NBhAAARJU6kWNHiRYoBNALg2NHjR5ABRAIgWdLkSZQpAQQIAMDlS5gxZc6cGSAAAJw5de7UGQDAT6BBhQ4lWtRoAABJlS5NGgDAU6hRpU6lWtXq1AAAtG4FEADAV7BhxY4lW9bs2QAA1AIIAMDtW7hx5c6lW9eu2wAAAAQA0NfvX8CBBQ8mXPhvAAABACxm3NjxY8iRJU92HCAAAMyZNW/m3NnzZ9CaAwAAEADAadSpVa9m3dr169MBAMwGEADAbdy5de/m3dv37wAAhA8HEAD/wHHkyZUvZ97c+fIAAKRPpy49AADs2bVv597d+/cAAMSPJ1+efIAAANSvZ9/e/fv3AQIAoF/f/n38+QEE4A/AP0AAAgcSLDgwAEIAChcybOjwIUSFASYCqGjxIsYAGgFw7OjxI8iQIgOQBGDyJMqUKlEGaAngJcyYMmfSDBAAAM6cOnfy7LkzQAAAQocSLWpUaAAASpcyber0KdSlAQBQrWr1qtUAALZy7er1K9iwYAMAKGv2LNoAANaybev2Ldy4ctcGAGD3Ll4AAQIA6Ov3L+DAggcT/hsgAIDEihMHCADgMeTIkidTrmx5coAAADZzDhAAAOjQokeTLm36tOkA/wEAsGYdAADs2LJn065t+zbuAAB2AwgA4Dfw4MKHEy9u/PjvAAAABADg/Dn06NKnU69uHXoAAAEAcO/u/Tv48OLHk/ceAEAAAOrXs2/v/j38+PLZBwAQAAD+/Pr38+/vHyAAgQMJFjQoMACAAAAYNnT4EGJEiRMpOgwAIAAAjRs5dvT4EWRIkRwDAAgAAGVKlStZtnT5EqbKAAACALB5E2dOnTt59vSJMwAAAAEAFDV6FGlSpUuZNi0aAEBUAAEAVLV6FWtWrVu5dg0AACzYAAEAlDV7Fm1atWvZrg0QAEBcuQECALB7F29evXv59tUbIAAAwYMFBwgAAHFixYsZN5Z2/FhxgAAAKFe2DCAAAM2bOXf2/Bl0aM0BAJQ2fRp1AACrWbd2/Rp2bNgBANS2fRv37QAAePf2/Rt4cOG9AwAwfhx5cuXGAwQA8Bx6dOnTqUsPEABAdu3buXf3HgA8APHjyZc3Tz5AegDr2bd3/x5+/ADzAdS3fx9/AP0A+Pf3DxCAwIEECxo8iLBgAAAMGzp8CDFiw4AAOw==\"><title>Layer: input (input)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"230.0\" y=\"287.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg></p>"
      }
     },
     "66aba69384414a38a45f30becc7cc639": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "66be6d7cba40438e811410228edf230a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_125068042f0f42fa80f39da72a697dad",
       "style": "IPY_MODEL_2a9bf3e8035d418d92fe586fb2135aba"
      }
     },
     "6752ede00d15407c97b0e36e0cb5f3c4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "67e44f516b914994861041e00e849534": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_850ef1f479014530aca0bc6c0dda781e",
       "step": null,
       "style": "IPY_MODEL_06498f2a73044f53b66e4620ea99ccea",
       "value": 1
      }
     },
     "680a6a3d2e414c59a0cd62936ed5d582": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "681314b2a7134eac873e5d78af4aef0f": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_b339c8e5b7ec49da8c49c86c45a4bcf2"
      }
     },
     "6850b85cb3534effb63cad7fae0eb052": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_a9bdb8729285415f8bf17c6791cddd15",
       "style": "IPY_MODEL_2df03110fd79488b8ce18b2ac97dd62e"
      }
     },
     "68b11eb8eac444128d63fff5affff282": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "68c1dbb875524c9bbbe12379c7f03788": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "693bb1bb061e4f6090d00b367be31a26": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "69f786c93b1d4c7097b816e3c57a087d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_45104624d971421985a83c6f8981bedb",
        "IPY_MODEL_383ead0315244fa1b1bd4b750f1c5155"
       ],
       "layout": "IPY_MODEL_b624679405284baca60d172396bad975"
      }
     },
     "6a2d538ce2534f3b81c819c40e3e419f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6ad62c9f63ce472785b4ffab82749e6b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_ac157d4b2790463594f308947d8995df",
        "IPY_MODEL_c24b0c0b9f644d67aab46e5ba48cac6b"
       ],
       "layout": "IPY_MODEL_1d2d43254f3449e9b85392bcfcbf2173"
      }
     },
     "6adab0432e9a425bbbda60b4b6c6aa66": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "6bd88531a618441ab175bf3ecbe8554b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_ca176623ae664159a1b4326a1513d9cf",
        "IPY_MODEL_cd4577ad30a540009a291846c8b3e2fa",
        "IPY_MODEL_f18fd6cfa6694dd3b4ba9725431224a5",
        "IPY_MODEL_9adb9b8805e6464fb3e1b516575d34a2",
        "IPY_MODEL_7de6b537bf5347b28e21385f260e9c25",
        "IPY_MODEL_d92a6e2106d64feb99cfd7a795bea074",
        "IPY_MODEL_ba6434c81eab407db408e1286eb41e95",
        "IPY_MODEL_ebed83776ffc408ba66af8951277ba52"
       ],
       "layout": "IPY_MODEL_a5ae4803513444269b0f40c5bd6b094d"
      }
     },
     "6c246cfbe5ec4d08af63e3c358b6268f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_58d0d384eafb422dab99a041049d4496",
       "style": "IPY_MODEL_b896a7a390f94c8b9efad23f5f1f0231",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "6c291e7265624b7780a791a3a5cf5c13": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "6c75c1969dcc414e939c8744b4ad71ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "6c7d684a271543c0ab5a123f735090cb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_3d731759d2d340b8b116dca796d342f9",
       "style": "IPY_MODEL_cf416ed2c70646298c03c3d1fe273b28"
      }
     },
     "6cb7b8a9677a4896ae67c4bad670b207": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6cc2544da45c443cac643f9244534728": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "6cc9eb8f9895472da7d1ae894bf164ac": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "6cd09d85a95240c4be981cbb79437543": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "6cf4529ff59d4455a856bf8250471f7a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_e9cc72f4cdb14bd58226662af34a77d0",
       "step": 1,
       "style": "IPY_MODEL_9a9787aacce948b79e779e87820acf3a",
       "value": 150
      }
     },
     "6d10bd377149408aafd0cb98c9965ee1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "6d3b6d890af449f198d614c37e4a53fa": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "6d69c1267c464210a1c70e9ed5b06c5e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_344de7b550ec42e6a79a7b0754629578",
        "IPY_MODEL_71d42f2fe8ca4a0286bb57ec01d12a89",
        "IPY_MODEL_e46b0d6991934add8a2c13e1ca051109",
        "IPY_MODEL_128280c55a6b4798980b76a9e4f925ce"
       ],
       "layout": "IPY_MODEL_54cbc0b884a749f19da9e3580b313823"
      }
     },
     "6d866ae781964b2fbd39f917297f45be": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6dcbe7eef53e43b8a8db096d52306150": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "6df866deeb4547c08d211c01910f466e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_45026ecdecf34427a97d566a12ce43fe",
        "IPY_MODEL_1197bd90f4804a43a5d4b701083e4bcc"
       ],
       "layout": "IPY_MODEL_c42fade553ed4220a9b604c8a2dba3ba"
      }
     },
     "6e32e60c9c814698a15fe43240f893f7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "6e6fab0d651644f0abd68876aae9f11a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_f0205df41fa347b6b9860451cc83e749",
       "rows": 1,
       "style": "IPY_MODEL_4ccba9e62a1948d1b3d48f841631f27b"
      }
     },
     "6e8337c7bee24477836799013e6ad35d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "6f397470537340ea890244e5e71061bd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_d365113fc0b54bfc956133001ed65d77",
       "max": 93,
       "style": "IPY_MODEL_2d2ee55a06dc4f8db892cca0009a6ffd"
      }
     },
     "6ff13474060543fd96f1abe55eef4a85": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6ffbc95dce714092989d3197de21c2c0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "703a840a6a3d4462a297c908903501d7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7044794343584b52a84d9d1d01bdeee0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_0496b13190344f949be252c30f13b5ab",
       "style": "IPY_MODEL_5649060fcdb146d5a9ba2f078e4ce580"
      }
     },
     "7077ce2da4fb4e2cb3623f8311401ac6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "7094d7d070e64af5a5b47cda8cfdb90f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "70cfdce0dd5f4896a3d6d49d25f19b8a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "70f51eae4c1044a2a0f4bd8697bad874": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_9f288b00e2a04a86b2d0560d508e63f1",
       "rows": 1,
       "style": "IPY_MODEL_68c1dbb875524c9bbbe12379c7f03788"
      }
     },
     "71422bda5e7b4d9b8f7a4e07e7be5fb0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "71b3d2fffd814074b2c7dcaa6344c985": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "71d35ab05f61499884a1910316e83795": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "71d42f2fe8ca4a0286bb57ec01d12a89": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_fffb5f0a2e7c4507b03ac1f3c52561ca",
        "IPY_MODEL_4c976199ff6b44898efa9c85ceec70f6"
       ],
       "layout": "IPY_MODEL_5b83950ed12f41119a97c60235d52a71"
      }
     },
     "720dfba880204c3f8555934f1bac0d42": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "72d3a994bbb74d429478b13684c4d486": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "72d4a0681fe8424e97e871794444af9f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_24f74e3df8d24c9ca217115879e4bd87",
       "step": 1,
       "style": "IPY_MODEL_153ee414907d4b78b904312c0495b5a1",
       "value": 150
      }
     },
     "72e182cb6d434e35823834571d37bfd8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "732ad60c2f1347cbba29674f44168a58": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "734e584f2dcf4d22aad21d5433cf3c7c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "7369d854c0d74735bbfa8ef439461d1b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_9af843b4f38b48118588df002a5b24e3",
       "rows": 1,
       "style": "IPY_MODEL_181ed9e540564e94a3b4f35e232fed6e"
      }
     },
     "73917207ded644b2aae7290527023bfd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_c032b19a172043519ded5831ea041ba6",
       "style": "IPY_MODEL_80a1846b6e2e4ca9a04d0e88753c0acf"
      }
     },
     "741fa5846bdc45e39ca5deb8c3527e36": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_d4f65391b3064bd6a136759d08eb3a63",
        "IPY_MODEL_334ebf9a635c4cc4b63c35ace882fae4",
        "IPY_MODEL_ad90358248c94db7a068446aa8b2300b",
        "IPY_MODEL_c15e06d083734135829a3fd221076dc0",
        "IPY_MODEL_536e94b47f8d494fa2b1989ba6e23bc0",
        "IPY_MODEL_8a3b2c47bfe848129ffd98e43f8797de",
        "IPY_MODEL_f6a04af9eb934eb5a1bcbf671ed0a9d7"
       ],
       "layout": "IPY_MODEL_93e359b74d504be68dbe1745381b690b"
      }
     },
     "743bbd9b02d94ad299c821c635837989": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "747c253554754558a6342aba1f8afa88": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "749660ae79494be1a01d916f46e74c7e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_ba3357424a9644a9b6465e1c8007cd60",
       "step": 1,
       "style": "IPY_MODEL_a030ee813bf946da97befd7960bc45a9"
      }
     },
     "74ea59f276ae40ed97228b37b4eba69c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "752ff767bdfc4f84b6654f734e277f9a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_073897883d7b4a2c9a53986e281e8975",
       "rows": 1,
       "style": "IPY_MODEL_893630fbc3114ef7ba0617659b5aa838"
      }
     },
     "7565d502eecd4ee382ced324e628c814": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "758b9376b5b84a8887a3535c8ce2b07e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_d2cf82d0f2904e22bd15a509e33859db",
       "step": null,
       "style": "IPY_MODEL_7a697f00059247ef8522fb05e7b3966d",
       "value": 2
      }
     },
     "759294a861e34f12b44be5fae699bb3b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_12d235a4ad264ae793fec3440420c44b",
        "IPY_MODEL_3f1fc23f3db64b588a73bfc7fd90e2de"
       ],
       "layout": "IPY_MODEL_72e182cb6d434e35823834571d37bfd8"
      }
     },
     "75c4283f882543939dfa5b4eed9f92d8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_9ed1de308dae4932859c46f887de9b72",
       "style": "IPY_MODEL_2eb32446edd74c6590d195c7ada01c1b",
       "value": true
      }
     },
     "75cad95c9e414d6b9c5983bf5aa706b4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_e9fddce67b024ae1a66148a93159ceb1",
       "max": 141,
       "style": "IPY_MODEL_809567f9b32b407f80831ccf3d70672a"
      }
     },
     "763e13acb9df4886991db98b1508cbbe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "76b512b556274b86a949d92c21e19078": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7700456f20844e7491be05554325be1a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "771150444b9d47e6b2e073536b7dd563": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "774bc8c80dab479ba83fb5e262b04cf2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "774f3ea4f68c4a04a45577c0ffb89bb8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "775674e9337c4d46b6630f4d426c3126": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "77712b0c0e404e688593d107d864e352": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "777ab4bfd0e047339385ad2712943a44": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "77f231c99da7495f97b04c597dc6c933": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_c377c07255df4c39accb648d1a8bc0c9",
       "style": "IPY_MODEL_7efe219c53fa4e8e98a2f2e58c005266"
      }
     },
     "78481018962d4aff863727fa809f3f72": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "785448a792d248f28f29be75720ab3e5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "785b8a45dd3a47acbe6ce2a503143587": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_4806bff7ed5f424aa1584240c072bfee",
       "style": "IPY_MODEL_c767c96b87bd45d2a15c0fd57f7b2dde"
      }
     },
     "78b4aa9dca944dc0951f591af9f93e0c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_c5b872dfd6a44c1593bbd42d24f2c596",
       "max": 93,
       "style": "IPY_MODEL_033f39bc774245b98a0f3ba3d1d6317b"
      }
     },
     "78dd7ddfcfbe4a06966525118a333e26": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "78ec951e2e5d4b6cbf6367d9373d3eef": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_7c844b228d0c403aacdaf128c20180a9",
       "rows": 1,
       "style": "IPY_MODEL_c48dfe22977c4b798a971c0a935ee3fc"
      }
     },
     "791395cb4baf47b4a9e49cad92333580": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_247d95ffb36648719f6030c3843a06ae"
      }
     },
     "79310496a937490ca44f744e24280571": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "79385cccf8534d4caf18f60f1358025f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "797e2d000c3e42549962b5b86adee6d9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "79959b725cb147b5ab8d3070b78b98d4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "79bf733f4d3a4a739d45e8b383f82db1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "79d9aaed4e204731be3ab2e18d8c1124": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_9ed1de308dae4932859c46f887de9b72",
       "style": "IPY_MODEL_ea3db61e2b164747a2172a8f12d7eadd",
       "value": false
      }
     },
     "79f1e892c29e454d945ace604a26bdf1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_05ec066ebbf24cdf8d050ce08e760e7d"
       ],
       "layout": "IPY_MODEL_feb6d6db47714e299dcb5893b9d1a070",
       "selected_index": null
      }
     },
     "7a057b77450e4e6187fe54f04fac9b29": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "7a14d8d5f88d4e8982406d9fe732ec7f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "7a1e15dce34c4c97901211248bd206c1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "7a244df1c2ee4dd5808fdb32523d8bf3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "7a24a9fe66274088940a751deb423fa7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7a697f00059247ef8522fb05e7b3966d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "7a6f0bc46a9a4c92af65cfeeeba6c714": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "7a7ac457af584019bda95da8e6813bef": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "7ade35e2ec2149eba849d2895e3589e1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7adfb8085b4b43e19d5af4c1249ea044": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "7b096a6ca7584cde8bea0d4981207c13": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_f7605902eeb54f88aa1cecbb7320d04b",
       "style": "IPY_MODEL_0b48de6b0aec475c984fa9e0f3bca7b0"
      }
     },
     "7b1a080fd47c41feaa61fe91799548d0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_5b3f4735c0784bec8453f5308524e0fc",
        "IPY_MODEL_94b967b23c5c44f896cc539776fd6e85",
        "IPY_MODEL_a413bf7578fd408ea94ed144ac7f9f77",
        "IPY_MODEL_64e5a95fd499410c8ee55d40954e2ba0",
        "IPY_MODEL_5d0d560e06ff4120996f017767eca3c2",
        "IPY_MODEL_8cd02bf05b1144e19d17a1714b0f6a7c",
        "IPY_MODEL_4dbb64b7e63544a3ad0860d47b3768d7"
       ],
       "layout": "IPY_MODEL_574e2695f0e9402b9af1f96355baa9b2"
      }
     },
     "7b4a2c260aef471aa6ddfff38437bf26": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "7b59ed3cb65b49dbb50442cd8e9844f1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_ae6dd2ff891542a9b21b0336e18af946",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_4d5ae88eb11c4788888526472ac812a9",
       "value": 1
      }
     },
     "7b7fcd63bf44440988f5f436fe6c6a7f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_91625a4e6cb14a2b8aa3eb5f7e7d3d77",
       "rows": 1,
       "style": "IPY_MODEL_ecdc965053da41098a2b3bc24eae0dc7"
      }
     },
     "7bc07b97ec2c48f9ae037b656312f86e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_24f74e3df8d24c9ca217115879e4bd87",
       "style": "IPY_MODEL_1d54ce0dcb224e139bd8961c3bd6aa62",
       "value": true
      }
     },
     "7c396c612f584f2b96d2c0d55c16d592": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_61fdf68cd12f408b82da458ac48cfbb9",
       "rows": 1,
       "style": "IPY_MODEL_c112461f302e4b5aa8a5d2e9682e26c1"
      }
     },
     "7c3d1e1253a849c0abd6eafa8af26535": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_c9ca10328e8f4430862a152da2478221",
        "IPY_MODEL_b8a354d5d15d4119b161b8bdab792480",
        "IPY_MODEL_3677b8cdbf4e499995dee7c67a26878a",
        "IPY_MODEL_043b874e026e4331ae913da5e875a5ef"
       ],
       "layout": "IPY_MODEL_47317aebdd594de89f5dbcc4fd1cbe92"
      }
     },
     "7c49cc6bc4f84a3492dd10ecbbe5f22d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_a2270b5389414b49a18fc4aa427adc1d",
       "step": null,
       "style": "IPY_MODEL_72d3a994bbb74d429478b13684c4d486",
       "value": -1
      }
     },
     "7c6338cc98f540029854d128a9aec95e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_8120b78f13d04ff896818d30041f4fb6",
        "IPY_MODEL_25591eefbca64c2480bc3a10e3aa296f"
       ],
       "layout": "IPY_MODEL_4196e1fbd9d4495a9880241bc4117073"
      }
     },
     "7c64e0cf367e44518248c86e64c37a03": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_073897883d7b4a2c9a53986e281e8975",
       "style": "IPY_MODEL_4ecdadfbe36b4247a40af22bfc9a842a",
       "value": true
      }
     },
     "7c844b228d0c403aacdaf128c20180a9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7c85e78f144747a9b624702206d1071d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "7cdff9bd394e4b10bc6155e4faf12899": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_4c0e270278344701914bb8a130c05e10",
       "step": 1,
       "style": "IPY_MODEL_693bb1bb061e4f6090d00b367be31a26",
       "value": 150
      }
     },
     "7cf41e9f1ebe442aa2ec1068f5e885a8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_e223230cbae6484fae33cc5bae1acfaa",
       "style": "IPY_MODEL_c5ff0aee5e4c490f8962f391beeb8400"
      }
     },
     "7d3b864646d748479dc66a8ee0f65b15": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7d78e65b139d4c718b3988baccaf6412": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "7d9840e1980643b5a1afbd2da9c11b9d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7de6b537bf5347b28e21385f260e9c25": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_7094d7d070e64af5a5b47cda8cfdb90f",
       "step": null,
       "style": "IPY_MODEL_a26c9a385aea4646ab19691321d30a60",
       "value": -2
      }
     },
     "7e1a045a530e4b2099a32a9f155334dd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_6165285dab23473a81953d557f62fa5e",
       "style": "IPY_MODEL_886068208f1b48c2b602cef93e9e9c02"
      }
     },
     "7e697fa182564d31b4da4ca49a82249f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "7efe219c53fa4e8e98a2f2e58c005266": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "7f7b7bce85624656a003d841d6deae83": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "7f820d262ee14627b2921056ed02c885": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "7fe43098081e4ac88de8b4ccc5d8de20": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8034d2a7e1d7474ab473e802788c2b5e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "803c441f69334bc4b1d84f2315f8467d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "805dafaeb3194c71bcede36dd6b087e2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "8089986e43c74afcaf837c81836809fc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "809567f9b32b407f80831ccf3d70672a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "80a1846b6e2e4ca9a04d0e88753c0acf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "8120b78f13d04ff896818d30041f4fb6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_7a7ac457af584019bda95da8e6813bef",
       "max": 141,
       "style": "IPY_MODEL_edcd2b8a9bab4e55b0b3c66cf1093ace"
      }
     },
     "812b8c1062ee40d69924a3d5ec71f3c0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_5870c42008524917928af1466327ded3",
        "IPY_MODEL_c56b94d10a0d474fb927dcfdd4ff8927",
        "IPY_MODEL_a223482e3abb4055b3783c6ba6aaf5e9",
        "IPY_MODEL_05615b9504ca453bb92322179bd08c88",
        "IPY_MODEL_8387e2a03a744803a7af2f99b528c020",
        "IPY_MODEL_3286376f5bb346438f8b69a00bba2f57",
        "IPY_MODEL_157167f5e15b40df9a0a50f89d9557af"
       ],
       "layout": "IPY_MODEL_734e584f2dcf4d22aad21d5433cf3c7c"
      }
     },
     "828e7a0c3af24e2b8b08bce918f43a96": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "82917025d2754aa8ab199f60127dfaaf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "82b5abf10b9b48c18daa919f7561d4c1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "82c27628a10a4243a71d12e6b1ae6bc9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_c8a5ce2516dc41139d7e2834579cd16b",
       "step": 1,
       "style": "IPY_MODEL_910c23bf9e1f4bbaa45c72103e61c78e",
       "value": 3
      }
     },
     "82d9114fd17f4845874bca8d54916357": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "837db4252d124b06b9b2b2ebaf783c1a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_d1e692f46cb047de8c4ae05198a6e017",
       "step": 1,
       "style": "IPY_MODEL_515e95ba5ee34a30bd7bc3d41c2fcf3c",
       "value": 30
      }
     },
     "8387e2a03a744803a7af2f99b528c020": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_b4f3b1bcfe4b4f89ac84b8ccf5512e4f",
       "style": "IPY_MODEL_96fa80d85664488c8317fed5284131d1"
      }
     },
     "83a6628bdc744f34ae7f6267a2c49727": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_6324fb29a81745a2a0470785e29043d5",
       "style": "IPY_MODEL_87cc6b2dce6c40fcaa5b681a60ef223f",
       "value": true
      }
     },
     "83dc3716bbd7460bb3246c5a55a64961": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "84810c00e0d645b3aede72a89e5d343a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "84c5869005284a728e99beb01f15adba": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "850ef1f479014530aca0bc6c0dda781e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "851ce25cf6864f2299cce0c4a26e46d7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "856d33e1007a427a8d40370dbf517d19": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "859963987cd14a0685a9ee4ab148fb15": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "85bc53ccb4e94fa099dd3140eafd7a77": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_89f3f4ad7d6446c6804c92b528479163",
       "step": 1,
       "style": "IPY_MODEL_c41489c79de647598972d67b2677892b"
      }
     },
     "865afea6c2384955802b92be7517bb69": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_e19049877b3147b9b4b5a7bbb34efbc3",
       "style": "IPY_MODEL_60942462e27b4d90bcefc5d90c72696e"
      }
     },
     "867e90c2603649cf8b25c009b93b5b6f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_4663779f19bd4b13895a32629a34a8ae",
        "IPY_MODEL_95352494d56d470c9733f794830ae774",
        "IPY_MODEL_7cdff9bd394e4b10bc6155e4faf12899",
        "IPY_MODEL_05a27c742c7248faa0d336a5c5b08a6d",
        "IPY_MODEL_d0998b01fe8244d3a2860674cd0ef9f4",
        "IPY_MODEL_3b786f47f45143fe8e15681b2e0df61d",
        "IPY_MODEL_1376810361724a4e91d2e4059b58f046",
        "IPY_MODEL_e0e9893838a04e758b7304b80c0009d6"
       ],
       "layout": "IPY_MODEL_2135ebd2ade94f6b8c00f02882baad3f"
      }
     },
     "86cafdeb3a1b454a9c7d5eec0d4740af": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "8714ad950ca64c1b94a3817dc1cad043": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "87cc6b2dce6c40fcaa5b681a60ef223f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "87cf5f546b18417baa78b028b8e234f1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "881022972e0c40829c6ad0b5c0be49e5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "886068208f1b48c2b602cef93e9e9c02": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "88759a1809134124b411ae4997f7097c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_7a14d8d5f88d4e8982406d9fe732ec7f",
       "style": "IPY_MODEL_a467fed24eef40d8ac9f87d533ce427f",
       "value": "of 142"
      }
     },
     "88b22aba7d1e4d11a9f118abc9ea3256": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_a07269746a9b4dbbbc66e3eb7650b6df",
        "IPY_MODEL_7bc07b97ec2c48f9ae037b656312f86e",
        "IPY_MODEL_dc60ea11def04ec38fed8006d44eaff6",
        "IPY_MODEL_cc2dc7fe285d40d888d2df7d1743d3cf",
        "IPY_MODEL_fac0743ad0404fd29c7cb655646acdf0",
        "IPY_MODEL_21287aed167b40cdb98716be825891a1",
        "IPY_MODEL_8c23849c6ece400db75cb8e777988972"
       ],
       "layout": "IPY_MODEL_8b3ed03adbdc4872bdeeb1a6c009813f"
      }
     },
     "8902cc310fa9491281e1763cbc338143": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "890d774f909946c5899dde4a05754c0f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_aaf35ee9ae4c4d69a70fe77ec2216c0a",
        "IPY_MODEL_4422551774e74d9895bce6f01aad7c8e"
       ],
       "layout": "IPY_MODEL_92fd6e55ee4548ebad066dd2623415a1"
      }
     },
     "8929380105664a26a392882a3a0c32a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "893630fbc3114ef7ba0617659b5aa838": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "897c86095c244df689c092f098bdec44": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_17b3469f36214818b4d96564ad43aaca",
       "rows": 1,
       "style": "IPY_MODEL_3b98688b0d6d493d9186ed8092d348ab"
      }
     },
     "898c546a4ce14e00b5610622ae81b58c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_3e511c9386c14ea89f36dcc0ba8d083a"
       ],
       "layout": "IPY_MODEL_2a8671abba1444b3b5206669d42e2a26",
       "selected_index": null
      }
     },
     "89cef4ec466b499aa55e0b0f8e334f26": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "89f3f4ad7d6446c6804c92b528479163": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "8a2f213e94e54993a1403ea8d1766265": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_f59a7eb55351417c910ae2d3dde07b5e",
        "IPY_MODEL_a820312e92ef4cd6bd48a6d9c12c15d3",
        "IPY_MODEL_2924d6261ae641e88f4b58419d19e890",
        "IPY_MODEL_4a9a68e6a5434aadbfddaaeeace83aa2",
        "IPY_MODEL_a03e2d899de7470aa2f2a3554173afc3",
        "IPY_MODEL_f3f0a4d37be4462395066fdf43cc9ac6",
        "IPY_MODEL_e070b49bc08d4d0b83d5532726473acd",
        "IPY_MODEL_99070628eda84fa7a68f5efcbd8554e2"
       ],
       "layout": "IPY_MODEL_84c5869005284a728e99beb01f15adba"
      }
     },
     "8a3b2c47bfe848129ffd98e43f8797de": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_ea9846b50e6d402cad5427d8e4fbebe1",
       "step": null,
       "style": "IPY_MODEL_4208dc9cb6154df29c61ff36978428ee",
       "value": 1
      }
     },
     "8a535127a88c4fa284f2ad336473f70d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "8a542fbb87a6487b9acadee9aff42c00": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_9ed1de308dae4932859c46f887de9b72",
       "step": 1,
       "style": "IPY_MODEL_774f3ea4f68c4a04a45577c0ffb89bb8",
       "value": 30
      }
     },
     "8b245bdc20ba4fdba9768f583c805e17": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "8b3d2e1a6d654912b83175a3a27fb3b4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_6e6fab0d651644f0abd68876aae9f11a",
        "IPY_MODEL_236b318160674d8aa55a3c033c1b5340",
        "IPY_MODEL_f0f3603bffb842f0b32690077d8b2e70",
        "IPY_MODEL_1f79a2863fc94f38855da3d7873d7bbd",
        "IPY_MODEL_f27c19a19c5e4a64a9deaf6123016087",
        "IPY_MODEL_bbd1bc1e587440c4bf2172742aca15b1",
        "IPY_MODEL_c1af07cf27814c68b4647c3921f1d19a",
        "IPY_MODEL_c5bb4226213b48eeb20bf1b0fb5fcc61"
       ],
       "layout": "IPY_MODEL_bd17507098bf4f8992cfa6748068c748"
      }
     },
     "8b3ed03adbdc4872bdeeb1a6c009813f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "8b70a3bf0f6c4b95b2aafd7e042f1251": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "8bee8072374a4edbbc2fb53aed7937be": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_b1261f0ede6e42edb47e1151569ae5be",
       "style": "IPY_MODEL_b22ec10e8e2d488880abe49f1cdb2341",
       "value": true
      }
     },
     "8bf4bb42fed246629028c3b79a9c3a41": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_e9cc72f4cdb14bd58226662af34a77d0",
       "style": "IPY_MODEL_d19bca38130b4217bc6535be016ede00",
       "value": false
      }
     },
     "8c23849c6ece400db75cb8e777988972": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_0dca971a656d426184bce232102816db",
       "step": 1,
       "style": "IPY_MODEL_8e56c9f8f14e4df8b3756dc75a308b50"
      }
     },
     "8c55fcb97d6a44d99c3089f4e0ff623c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_96fb248b5efb478e8876f756dd417dd9",
       "max": 141,
       "style": "IPY_MODEL_00e0ae0e37664a63b72bd1a5112add61"
      }
     },
     "8cd02bf05b1144e19d17a1714b0f6a7c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_1ffb093047794b6cb6263834b1f2bd87",
       "style": "IPY_MODEL_4b669124deab411fb4f488ec711957e2"
      }
     },
     "8cda63904e6c42738f3d1fd1cc951a6d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_bb02f616b7d445d1ab5bdc276d2d533e",
        "IPY_MODEL_5eb918ba791c44c8bee246b954b85c24",
        "IPY_MODEL_22c233edfa8842c6ba67c17c7609e581",
        "IPY_MODEL_da3b5c60e92a472489ad0585ef45fb40"
       ],
       "layout": "IPY_MODEL_c93bf82e86c14c44a9f40c7b3b45da33"
      }
     },
     "8d146b72b20b46a8af43f651cddf7f60": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "8d4682eacbdf4408b001dee2104fbb7e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "8d725e15cd0244e8bc18a392219bade2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "8da5d37d37c64cabb5cbb836cc44cda0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_29489acc76f642279a1e8cbc7bde13dd",
       "style": "IPY_MODEL_5b4abd866670442aa78a9e5411047413"
      }
     },
     "8dbe10da9c40414fa287327d0947a36d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_76b512b556274b86a949d92c21e19078",
       "rows": 1,
       "style": "IPY_MODEL_5daf67fbbfa74bafa1f6d40b7a9d1b6f"
      }
     },
     "8e33fa22464d41769ab26aef06fa5a6e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_941986ae473f4c1ba08727674d46915b",
       "style": "IPY_MODEL_901b2dda016241d8aa67cb33f79e40dc",
       "value": "<p style=\"text-align:center\"></p>"
      }
     },
     "8e56c9f8f14e4df8b3756dc75a308b50": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "8e9b2f8eba144fbe9bce2b0cd5071500": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_aa866390df06472b9ad1bb42ce0ec279",
       "style": "IPY_MODEL_d785cf8d00a348a39a9a0ac916bfbb60"
      }
     },
     "8ed0dac9aa0d4a72b25f1c0202c95d00": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_27ed93618c144f21901d839ddc2b1d54",
       "style": "IPY_MODEL_55d86b4689984fc983f736bd3321c54a"
      }
     },
     "8f2a7da5deed47a4b77ecda483605f12": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "8f719505ebc6444da09c9f3402680421": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_3d03804e6f034e0fb0a44b98d7395896",
       "step": 1,
       "style": "IPY_MODEL_3ecd61ea09de4eccaa38303b50fff2fe"
      }
     },
     "8f745f0598a6432f922797da04ce7f53": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8fbf7b83300c4022ad0dd222acb78806": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate",
       "disabled": false,
       "layout": "IPY_MODEL_17b3469f36214818b4d96564ad43aaca",
       "style": "IPY_MODEL_112a5922d587446c8b3fd857fe93aad5",
       "value": true
      }
     },
     "901b2dda016241d8aa67cb33f79e40dc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "904caa5a9569429dad7e9866aefe1933": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "9069b9467bce4a3f80aae54982a00de6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "90bcacdfa52548d9a2a758d021cc317e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "90c1c89e02904781abf89ea347bf503e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "90e7c985349448f588c9365edda825e8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "90ed13e4182046ee80b665d9cdd4c09f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "910c23bf9e1f4bbaa45c72103e61c78e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "9116797397744c279680bed4f87e69ed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_c150459f3fa94eb7ac0a4ca3a4184f82",
       "step": 1,
       "style": "IPY_MODEL_b7f423d36bc94dd79bbc8f5c0f4d97e1"
      }
     },
     "91625a4e6cb14a2b8aa3eb5f7e7d3d77": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "91670c5a845543b9a11a0d8213b6f52a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "91c6e16fd69740bd83bbe60a3a279387": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "92c9bebaec144693879dd2608a43098b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_367c60b50fa94eabb08c3589d20c095e",
       "rows": 1,
       "style": "IPY_MODEL_0d007ccc641d465ab4aa5ed490b0d97e"
      }
     },
     "92cee906aca84752a723bab1907e2343": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "92fd6e55ee4548ebad066dd2623415a1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "930e14d0a035467a8c07f3f750752609": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "93d0a138a84c4eee9bff3a5b58dbaa6b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_07bc7a24d4fd4ce6aa15c4041f282bed",
        "IPY_MODEL_1b764fded60e46db966fd686445eec1c"
       ],
       "layout": "IPY_MODEL_d3a1c7c32432420a84bba1eb8e4dcb76"
      }
     },
     "93d57e615a004f358a65f4e78f80b227": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_d34c0f3dd94c47e7a7c6dcaa8155cc68",
       "step": null,
       "style": "IPY_MODEL_5a296923c5bc42e9bc12a8f07a9f2908",
       "value": -1
      }
     },
     "93e359b74d504be68dbe1745381b690b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "941986ae473f4c1ba08727674d46915b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "945e682cea32410d8f3cdc30ecf2e99a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "9495802e8736414c86eb318be6963731": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "949d107c01a04f1e83ef99ee0f0f79e0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "94b967b23c5c44f896cc539776fd6e85": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_78dd7ddfcfbe4a06966525118a333e26",
       "style": "IPY_MODEL_f30ee15fd0fe4cf5913affefa689f1f5"
      }
     },
     "9500a4b0c81540428dac3c1be282ac2a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_037f8a2b0be843929e8072a6690b3a0d",
       "style": "IPY_MODEL_221594f52ad94373a647b3b60d971ade",
       "value": "of 94"
      }
     },
     "95352494d56d470c9733f794830ae774": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_9fc5001e1f944f6aabed11874255e458",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_40622facd0c5435a84611d6ecf346e16",
       "value": 1
      }
     },
     "9590eba3322349eba1267fb2365efeee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_4b2e2935ec7a4ef185479fc7af09d6ab",
       "style": "IPY_MODEL_03f63f3269eb454e8369d673f1bafa69",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "95dd0b11ed154009a20d26dcbe10f8df": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "962a92ea43fd44528175bbcf2b79c192": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "96461cf0ed214bdfb3765655085ba615": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "96a011ddb85f4d11bcbece8a7a785e0f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_17b3469f36214818b4d96564ad43aaca",
       "style": "IPY_MODEL_4ca37f83e9b84dab99ad2b985c107b9d",
       "value": false
      }
     },
     "96d944070e7846d4a6d7bd0dd0192766": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "96f01604b3814bd483fc13cad351b218": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "96fa80d85664488c8317fed5284131d1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "96fb248b5efb478e8876f756dd417dd9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "977fa2c559c9463299db52e9c2bf5bb1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_8a2f213e94e54993a1403ea8d1766265",
        "IPY_MODEL_5ab34fd0b2364e228024a22d5252a09f"
       ],
       "layout": "IPY_MODEL_3918760381854c9eb4aa0d67abaee21c"
      }
     },
     "9787938426cc487f999bc5d74d58a3ea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "97eef2d0a4c94ef582b33bd22e87d429": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_6cb7b8a9677a4896ae67c4bad670b207",
       "style": "IPY_MODEL_421eac5a80c54962a27bcff248c593d3",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "98e8bd794ec74f409d85eee31b619d48": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "98f5238cae2c49388e376e6d91ed0ae2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "99070628eda84fa7a68f5efcbd8554e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_747c253554754558a6342aba1f8afa88",
       "step": null,
       "style": "IPY_MODEL_60a8f751c53f4e319d073865bd831cbe",
       "value": 2
      }
     },
     "9a09e6504ebc43da95364eb894122f66": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9a17f495e23843a6b8f5b70c7e9a6bfa": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "9a39e434645e420aa344d32c130ac248": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "9a613834e6fc459aa8afb31317d49e46": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "9a7858b166b7472c81f72c9ba7cdca67": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_a5942e8b4bf64932b42d38e450442001",
       "style": "IPY_MODEL_4905e7c7355f45c78d4181d77db80dc5"
      }
     },
     "9a9787aacce948b79e779e87820acf3a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "9acd622ba5b44730b96b04acb9189860": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_d434bf2b7af54f6096ce5f9a3116dfe6",
        "IPY_MODEL_b4a43a04e0b94751b794fea33e226ab9"
       ],
       "layout": "IPY_MODEL_c1c918c88a204662b7497198e94cc9ff"
      }
     },
     "9adb9b8805e6464fb3e1b516575d34a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_7d3b864646d748479dc66a8ee0f65b15",
       "style": "IPY_MODEL_dad4802bff564cff956393f2b6df9347",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "9af2ac41f59b4ed78863f5a57ffca302": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_a96a2cdc1b7b4bc2b99af21f9809184e",
       "style": "IPY_MODEL_ece4d3fc84c248d88f3d6fb6f4fe72a2",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 260.0\" max-width=\"100%\" height=\"780\" image-rendering=\"pixelated\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM</text><rect x=\"149.0\" y=\"24\" width=\"52.0\" height=\"52.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_output_1\" class=\"LSTM_output\" x=\"150.0\" y=\"25\" height=\"50.0\" width=\"50.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"205.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"104.0\" x2=\"175.0\" y2=\"77.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel has shape (4, 1)\n output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"104.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_lstm_2\" class=\"LSTM_lstm\" x=\"75.0\" y=\"105.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"132.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm</text><line x1=\"175.0\" y1=\"184.0\" x2=\"175.0\" y2=\"157.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel has shape (1, 16)\n lstm/recurrent_kernel has shape (4, 16)\n lstm/bias has shape (16,)</title></line><rect x=\"149.0\" y=\"184.0\" width=\"52.0\" height=\"52.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_input_3\" class=\"LSTM_input\" x=\"150.0\" y=\"185.0\" height=\"50.0\" width=\"50.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAPn5/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAI/wADCBxIsKDBgwgTKkQIoKHDhxAjSpxIsSLEAAEAaNzIsaPHjyBDiuwYIACAkyhTqlzJsqXLlyoDBABAs6bNmzhz6tzJ82aAAACCCh1KtKjRo0iTEg0QAIDTp1CjSp1KtarVqAECANjKtavXr2DDih3rNUAAAGjTql3Ltq3bt3DXBggAoK7du3jz6t3Lty/eAAEACB5MuLDhw4gTKy4cIACAx5AjS55MubLly5IDBADAubPnz6BDix5N+nOAAABSq17NurXr17Bjsw4QAIDt27hz697Nu7fv3AECABhOvLjx48iTK19uPEAAANCjS59Ovbr169inBwgAoLv37+DDi/8fT748+AABAKhfz769+/fw48tvHyAAgPv48+vfz7+/f4AABA4kWDBAAAAJFS5k2NDhQ4gRGQYIAMDiRYwZNW7k2NFjxgABAIwkWdLkSZQpVa40GSAAAJgxZc6kWdPmTZwzAwQA0NPnT6BBhQ4lWhRogAAAlC5l2tTpU6hRpTYNEADAVaxZtW7l2tXrV60BAgAgW9bsWbRp1a5lezZAAABx5c6lW9fuXbx56QYIAMDvX8CBBQ8mXNhw4AABACxm3NjxY8iRJU92HCAAAMyZNW/m3NnzZ9CbAwQAUNr0adSpVa9m3Rp1gAAAZM+mXdv2bdy5ddcOEADAb+DBhQ8nXtz/+HHhAQIAYN7c+XPo0aVPp/48QAAA2bVv597d+3fw4bkHCADA/Hn06dWvZ9/effoAAQDMp1/f/n38+fXvtx8gAEAAAgcSLGjwIMKECgsGCADgIcSIEidSrGjxosQAAQBw7OjxI8iQIkeS/BggAICUKleybOnyJcyYLAMEAGDzJs6cOnfy7OkzZ4AAAIYSLWr0KNKkSpcaDRAAANSoUqdSrWr1KtapAQIA6Or1K9iwYseSLQs2QAAAateybev2Ldy4ctsGCADgLt68evfy7ev3r94AAQAQLmz4MOLEihczPhwgAIDIkidTrmz5MubMlAMEAOD5M+jQokeTLm06dIAAlQBWs27t+jXs2LJnuw4QAADu3Lp38+7t+zfw3QECAChu/Djy5MqXM2+OPEAAANKnU69u/Tr27NqrBwgA4Dv48OLHky9v/rz4AAEAsG/v/j38+PLn038fIACA/Pr38+/vHyAAgQMJFjR4kGCAAAAYNnT4EGJEiRMpPgwQAEBGjRs5dvT4EWRIjgFIljR5EmVKlStZqgwIADs=\"><title>Layer: input (input)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"205.0\" y=\"212.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg></p>"
      }
     },
     "9af843b4f38b48118588df002a5b24e3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9b1bb43b668146e7a05726aff718a82f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "9b32ad5ecb134c7f8a0607fd5f8be835": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9b41d08a37714e3aa4b5c99f80cff118": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "9b48663f1dfe44d789766d63e617a601": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_a1361dcae3d1484f9a3ab529cd656490",
        "IPY_MODEL_8bf4bb42fed246629028c3b79a9c3a41"
       ],
       "layout": "IPY_MODEL_078fcc9a8c0347e2834a22e0c117d902"
      }
     },
     "9b5212f3acfa4a78bb7a197fdda75183": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "9b7255ecb05940e2b633f2b36fa55ce5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9b74852b88a348219e03d32d7bd34fdd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_6f397470537340ea890244e5e71061bd",
        "IPY_MODEL_fb746ff48a5d40d1b688a0f695109e80"
       ],
       "layout": "IPY_MODEL_9495802e8736414c86eb318be6963731"
      }
     },
     "9b86b01f8c5f40ca8648a9acd612bad6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9bc14af16ca04c62a161e59506b29ef2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "9c131094a10e410bb2d43447dbd159bb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_4c0e270278344701914bb8a130c05e10",
       "style": "IPY_MODEL_acdc180e689f4b7da82861d8e80e866a",
       "value": true
      }
     },
     "9c1342f4c5194418a3a418ff7e7666a6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_172f8775f729452d96e14303c0cfaad7"
       ],
       "layout": "IPY_MODEL_a4488446eab740c4818b196cab26bedf",
       "selected_index": null
      }
     },
     "9c410d5441bc409f89c8dc06a3556d4f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9c92c3d7f75741d291cf26d977138980": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_a53851eed4c44562b376839a764f48b9",
       "rows": 1,
       "style": "IPY_MODEL_a946a3ef282541c299ce969c1d851070"
      }
     },
     "9ccfb472a52743c0a4c793d172182cd7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "9cfa06f4a65041ceb47b05f39b7e582e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_f6de3df21d5f4cbdad5603645ef5d2b8",
       "style": "IPY_MODEL_84810c00e0d645b3aede72a89e5d343a"
      }
     },
     "9d01e41c255b45fc9812d4aab415c67d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "9d9cad63543046e0bb7a78d1b19b1d6b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "9db26957be6241b7be642ec51a0cc227": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "9dd249207c77401da7c522ecd5281002": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_af6dc1f264c2436cb142db4ca46e43eb"
      }
     },
     "9de4246bed40414b9341a4dbaa640bfb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "9e05d144c8ec4da79a4d9c1c9774f86b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_17b3469f36214818b4d96564ad43aaca",
       "step": 1,
       "style": "IPY_MODEL_7f820d262ee14627b2921056ed02c885",
       "value": 30
      }
     },
     "9e52c1c90e2142a2b3cfc6200d8d77b0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "10%"
      }
     },
     "9ec4333220bb4e6d8f44fbf9b7fd1d8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_4ac8ff66d935415286502c88777f4b05",
       "step": 1,
       "style": "IPY_MODEL_1cbf54f9536d4573afa48a5bbed53405"
      }
     },
     "9ed1de308dae4932859c46f887de9b72": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9f288b00e2a04a86b2d0560d508e63f1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9f39c0719a1745a2825f73c9cbef8cd3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_6324fb29a81745a2a0470785e29043d5",
       "style": "IPY_MODEL_a3d89db767c247d1ab8ad66c8b88cfef",
       "value": false
      }
     },
     "9fbaab4b5bdc43fcbe0b8e625237d386": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "9fc5001e1f944f6aabed11874255e458": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9fe3a1648f834a6a980fdba627d5ab12": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "9fe666abddeb42a490c8c4573f040b5a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate",
       "disabled": false,
       "layout": "IPY_MODEL_ba9ccfb6c48b40c0bbf84a0d3079b55c",
       "style": "IPY_MODEL_65cb78d1938245e397ffa6297dd77d15",
       "value": true
      }
     },
     "9feace8a72504301865d11457382520d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a00954cf94ed457688c7a317bdbaf405": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a014fd2ae12a4108b265836aa13c6a59": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_7b4a2c260aef471aa6ddfff38437bf26",
       "max": 141,
       "style": "IPY_MODEL_98e8bd794ec74f409d85eee31b619d48"
      }
     },
     "a030ee813bf946da97befd7960bc45a9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a03564e7c9b44388bca88a91ea7b2853": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a03e2d899de7470aa2f2a3554173afc3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_ea83190f6129414185da33da3c711dc8",
        "IPY_MODEL_d62f24b6c2964440952f5c8ead2245b8"
       ],
       "layout": "IPY_MODEL_d95b1de7e96d45da81b02012dd989828"
      }
     },
     "a03fc5ea5daa44dda44e25c8dfd9dca5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_2783236cc0294829ba679ef1cc637445",
       "step": null,
       "style": "IPY_MODEL_45258885e8084c3abcfdcaf1744b840f",
       "value": 1
      }
     },
     "a07269746a9b4dbbbc66e3eb7650b6df": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_a77406faaec24ce7b7ad3f09a05a7d87",
       "rows": 1,
       "style": "IPY_MODEL_cf06255b2c4c485e841cc71d94294f03"
      }
     },
     "a08422c906564f96abc458a5c2ee3431": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a12ead3b804b496eab0597dbbc87dbbf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "65%"
      }
     },
     "a1361dcae3d1484f9a3ab529cd656490": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_e9cc72f4cdb14bd58226662af34a77d0",
       "style": "IPY_MODEL_7077ce2da4fb4e2cb3623f8311401ac6",
       "value": false
      }
     },
     "a14dac7c85a148118cd3abe2403b968b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a1ab7c6febfa47ccbee2cfde36fe9902": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a1d4656d3eda435584c18c230a869538": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_ccec9095a9ff46acaf1f65cabe7172a7",
       "style": "IPY_MODEL_d989d3eaebbb420f942149ad92c3eb40",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 360.0\" max-width=\"100%\" height=\"780\" image-rendering=\"pixelated\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM</text><rect x=\"124.0\" y=\"24\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_output_1\" class=\"LSTM_output\" x=\"125.0\" y=\"25\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"230.0\" y=\"77.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"154.0\" x2=\"175.0\" y2=\"127.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel has shape (4, 1)\n output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"154.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_lstm_2\" class=\"LSTM_lstm\" x=\"75.0\" y=\"155.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"182.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm</text><line x1=\"175.0\" y1=\"234.0\" x2=\"175.0\" y2=\"207.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel has shape (1, 16)\n lstm/recurrent_kernel has shape (4, 16)\n lstm/bias has shape (16,)</title></line><rect x=\"124.0\" y=\"234.0\" width=\"102.0\" height=\"102.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_input_3\" class=\"LSTM_input\" x=\"125.0\" y=\"235.0\" height=\"100.0\" width=\"100.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAPr6/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAI/wABCBxIsKBBgQESKlzIEIDDhxAjSpwIMUAAABgzatzIsaPHjQECABhJsuTIAABSqlzJsqXLlzBfBgBAE0AAADhz6tzJs6fPn0B1BgAQAIDRo0iTKl3KtKlTpAEAAAgAoKrVq1izat3KtWvVAADCigUQIACAs2jTql3Ltq3bswECAJhLt67dugHyAtjLt6/fv4ABBBgMoLDhw4gTJw7AGIDjx5AjS54MIIBlAJgza96sOUAAAKBDix5NurTp06ADBADAujWAAABiy55Nu7bt27hzxw4AAEAAAMCDCx9OvLjx48iFBwAQAIDz59CjS59Ovbp16AEAaAcQAID37+DDi/8fT748+QAA0qtfnz5AAADw48ufT7++/fkBAgDYz7+/f4AABA4kWFBgAIQJAwAI0NBhAAARJU6kWNHiRYoBNALg2NHjR5ABRAIgWdLkSZQpAQQIAMDlS5gxZc6cGSAAAJw5de7UGQDAT6BBhQ4lWtRoAABJlS5NGgDAU6hRpU6lWtXq1AAAtG4FEADAV7BhxY4lW9bs2QAA1AIIAMDtW7hx5c6lW9eu2wAAAAQA0NfvX8CBBQ8mXPhvAAABACxm3NjxY8iRJU92HCAAAMyZNW/m3NnzZ9CaAwAAEADAadSpVa9m3dr169MBAMwGEADAbdy5de/m3dv37wAAhA8HEAD/wHHkyZUvZ97c+fIAAKRPpy49AADs2bVv597d+/cAAMSPJ1+efIAAANSvZ9/e/fv3AQIAoF/f/n38+QEE4A/AP0AAAgcSLDgwAEIAChcybOjwIUSFASYCqGjxIsYAGgFw7OjxI8iQIgOQBGDyJMqUKlEGaAngJcyYMmfSDBAAAM6cOnfy7LkzQAAAQocSLWpUaAAASpcyber0KdSlAQBQrWr1qtUAALZy7er1K9iwYAMAKGv2LNoAANaybev2Ldy4ctcGAGD3Ll4AAQIA6Ov3L+DAggcT/hsgAIDEihMHCADgMeTIkidTrmx5coAAADZzDhAAAOjQokeTLm36tOkA/wEAsGYdAADs2LJn065t+zbuAAB2AwgA4Dfw4MKHEy9u/PjvAAAABADg/Dn06NKnU69uHXoAAAEAcO/u/Tv48OLHk/ceAEAAAOrXs2/v/j38+PLZBwAQAAD+/Pr38+/vHyAAgQMJFjQoMACAAAAYNnT4EGJEiRMpOgwAIAAAjRs5dvT4EWRIkRwDAAgAAGVKlStZtnT5EqbKAAACALB5E2dOnTt59vSJMwAAAAEAFDV6FGlSpUuZNi0aAEBUAAEAVLV6FWtWrVu5dg0AACzYAAEAlDV7Fm1atWvZrg0QAEBcuQECALB7F29evXv59tUbIAAAwYMFBwgAAHFixYsZN5Z2/FhxgAAAKFe2DCAAAM2bOXf2/Bl0aM0BAJQ2fRp1AACrWbd2/Rp2bNgBANS2fRv37QAAePf2/Rt4cOG9AwAwfhx5cuXGAwQA8Bx6dOnTqUsPEABAdu3buXf3HgA8APHjyZc3Tz5AegDr2bd3/x5+/ADzAdS3fx9/AP0A+Pf3DxCAwIEECxo8iLBgAAAMGzp8CDFiw4AAOw==\"><title>Layer: input (input)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"230.0\" y=\"287.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg></p>"
      }
     },
     "a1f904b55d51467fb2653d7c3a1ccc97": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a223482e3abb4055b3783c6ba6aaf5e9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_2a336dfd90f646c9b96dd859e22004ff",
       "step": 1,
       "style": "IPY_MODEL_2833b34bd9cb4efe8889348172767f2e",
       "value": 41
      }
     },
     "a2270b5389414b49a18fc4aa427adc1d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a230374eb4a94472b49317f0d1e67733": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate network",
       "disabled": false,
       "layout": "IPY_MODEL_f64a7d6572964ac1b17ab9fabce65cb5",
       "style": "IPY_MODEL_6c75c1969dcc414e939c8744b4ad71ca",
       "value": false
      }
     },
     "a2343f9fc48f46118653321fbdd0d5a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "a25ec80fbe674b35a85792c8141af6f1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a264b553487a41e58bb4cfafa714cc8a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a26c9a385aea4646ab19691321d30a60": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a2727c96244a46e8963c95e885ed5468": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_5c21c4f1549944b6a3702652f52c9d3e",
        "IPY_MODEL_7b59ed3cb65b49dbb50442cd8e9844f1",
        "IPY_MODEL_104041f2d92249398fc32c5b6e2539e1",
        "IPY_MODEL_837db4252d124b06b9b2b2ebaf783c1a",
        "IPY_MODEL_9acd622ba5b44730b96b04acb9189860",
        "IPY_MODEL_e8b9197288e44824bf5463a094b84602",
        "IPY_MODEL_3c8c24ddbb7a42fb92b83e41bc2a799d",
        "IPY_MODEL_be8a37f71340441f93269abb22cd961b"
       ],
       "layout": "IPY_MODEL_79385cccf8534d4caf18f60f1358025f"
      }
     },
     "a2b6692446cb4fd58579399b7caee58b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a2dbc8cc94c14d0caf123fa9fc920806": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_24f74e3df8d24c9ca217115879e4bd87",
       "step": 1,
       "style": "IPY_MODEL_004c19089032478199dd931b1d0612a0",
       "value": 30
      }
     },
     "a2e9594c538e4ac89b7be6690832098b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a30bd93e115a49ca8079cbaf669438d2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a36a11692ba64031977890c8e2eefe85": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a39f0656fc304713bafcecd2cecc6a7c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_edd656dbf7f944fb97d7bedf25507563",
        "IPY_MODEL_e745b5b308f242da9f50cd80e49695ae"
       ],
       "layout": "IPY_MODEL_f9ba492079a94ab69dd088df4242a905"
      }
     },
     "a3d10bc61a3b43bcafbb549dfe9fa92c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_e9cc72f4cdb14bd58226662af34a77d0",
       "step": 1,
       "style": "IPY_MODEL_6ffbc95dce714092989d3197de21c2c0",
       "value": 30
      }
     },
     "a3d89db767c247d1ab8ad66c8b88cfef": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a3e6b8987c4f4b22b32a03cf171c20d8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate",
       "disabled": false,
       "layout": "IPY_MODEL_91625a4e6cb14a2b8aa3eb5f7e7d3d77",
       "style": "IPY_MODEL_9bc14af16ca04c62a161e59506b29ef2",
       "value": true
      }
     },
     "a3ea95d0a9b8424da1cd7f1df1461398": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a413bf7578fd408ea94ed144ac7f9f77": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_91c6e16fd69740bd83bbe60a3a279387",
       "step": 1,
       "style": "IPY_MODEL_a2b6692446cb4fd58579399b7caee58b"
      }
     },
     "a44309304ebe4c7182daa8683896b536": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "a4488446eab740c4818b196cab26bedf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a4572f23aafd49d8b7b055d97fb17653": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a467fed24eef40d8ac9f87d533ce427f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a4be260efbf2431685f2683522a7ced4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a4ecac9657744c8a89c2e358ec315372": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a4fac56108b241688113242814cf2a92": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_1dae3f52115c43bcaa566f1bbbf6b0ac",
       "style": "IPY_MODEL_aabdc69441244705af70cd9b35c3a9c2"
      }
     },
     "a5248f44b5074e558a8c623960031801": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a536ceb873b9489faae55ec2823ad0a8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a53851eed4c44562b376839a764f48b9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a5942e8b4bf64932b42d38e450442001": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a5ae4803513444269b0f40c5bd6b094d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a5d88b10c6f44a8284da0cdbe83b8d6e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a5eb8e8e2fcd494fa039989607861e5d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_17b3469f36214818b4d96564ad43aaca",
       "style": "IPY_MODEL_5784a6031e8842a996a3c3bda9bd617e",
       "value": false
      }
     },
     "a651814e41b143f8aaa53440d387d20f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_aae41b826a254d65933a1d96c8b88ee0",
        "IPY_MODEL_1bf647480fde45c593a886b339348ba4",
        "IPY_MODEL_3fa7ff7d901a41c7bd25316d662087b1",
        "IPY_MODEL_8a542fbb87a6487b9acadee9aff42c00",
        "IPY_MODEL_6138019a90a2482084aa4eac70c68f82",
        "IPY_MODEL_2e2936bb743a45ae8cf3397bdfae2a02",
        "IPY_MODEL_82c27628a10a4243a71d12e6b1ae6bc9",
        "IPY_MODEL_bd6553ef224f4fc0a376019c35d0837a"
       ],
       "layout": "IPY_MODEL_82b5abf10b9b48c18daa919f7561d4c1"
      }
     },
     "a65e5209ef1b4b6083950bf3755106c6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_410d66983a0a406da8ed6d51e7a3fd90",
        "IPY_MODEL_c1e10826e0144ac8be4244e9ae90dd0a"
       ],
       "layout": "IPY_MODEL_61d4981a794640cb8c147f8a0cca0b61"
      }
     },
     "a68f4d88e56245a3a9578a1acd42dbbc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a6e3b56de1bc4a8caac568cc78bdd41d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "a6f653f307754965acc6e680afa8951a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a6fa52586ef54157b36f9b9faec78210": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a7301c84f57647bf8174e3b641b5b711": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a760bec5557c42d7976dc675a10ea22a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a77406faaec24ce7b7ad3f09a05a7d87": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a7a0b96e26444ec099763f23108a034f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "a7dab0ab4fd74fc183809f7afb11897a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a7ddff7f8b3c4518ba65040e2003c8ff": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a7f24e0a9af743ce96868eec1a8a203d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a7f9e53aad0f45fe808b28a770ba6b8f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a820312e92ef4cd6bd48a6d9c12c15d3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_a30bd93e115a49ca8079cbaf669438d2",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_bcfd5aa346434abb8c8fda84c52ebf3e",
       "value": 1
      }
     },
     "a8881e91fc5b44abacbe43979ddeb58f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_17b3469f36214818b4d96564ad43aaca",
       "step": 1,
       "style": "IPY_MODEL_6034c540a12248aaae6d3e63de241d09",
       "value": 150
      }
     },
     "a8c13eb0250449d2b217c68b23f6de87": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "a8e69d6221f84cbe9a9a6e5c0c9a33a5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a8e71459fbc54fea81e46753100ad865": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "52%"
      }
     },
     "a90b4b0ef60e48ebad610d5abbb4e07b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_39abf24c3cc241eda700ae41db54228b",
       "style": "IPY_MODEL_515bb08e80ad4d65838b18619a3c3e5a",
       "value": "of 96"
      }
     },
     "a921d82768754c2598f3766cb7aa9607": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_b17630bd1aba415a92fa849e2351c6e0",
       "style": "IPY_MODEL_be8564410db24f708521faa6f16b811e"
      }
     },
     "a92d9e75b68f4283b11fc19c2c37c830": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "a946a3ef282541c299ce969c1d851070": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a96a2cdc1b7b4bc2b99af21f9809184e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "a96a7749bfe648fcb56531e6da201b56": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "a9bdb8729285415f8bf17c6791cddd15": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "aa2dd2df6d344249aac940367e43d887": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_ba9ccfb6c48b40c0bbf84a0d3079b55c",
       "style": "IPY_MODEL_86cafdeb3a1b454a9c7d5eec0d4740af",
       "value": false
      }
     },
     "aa866390df06472b9ad1bb42ce0ec279": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "aaa73649192248018f9ce7804e245a4b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "aabdc69441244705af70cd9b35c3a9c2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "aae41b826a254d65933a1d96c8b88ee0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_b9217be5027345e19ecfc743febed083",
       "rows": 1,
       "style": "IPY_MODEL_379860dd7a194b8aa5ef07c6437eb19e"
      }
     },
     "aaf35ee9ae4c4d69a70fe77ec2216c0a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_a014fd2ae12a4108b265836aa13c6a59",
        "IPY_MODEL_1211f0cf7167460bbb11ec2237872e7f"
       ],
       "layout": "IPY_MODEL_6752ede00d15407c97b0e36e0cb5f3c4"
      }
     },
     "ab6b4355e13b49b29a5ba6b969d2536e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ac157d4b2790463594f308947d8995df": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_f1a1315264a2431a92c82bcb21853d58",
       "max": 141,
       "style": "IPY_MODEL_5ae5dc8ba5894d639ec75499b225dbb4"
      }
     },
     "ac964492a5bb4db2b6983b2d402857d1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "acdc180e689f4b7da82861d8e80e866a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "acdc37c4b748451eaccbe6171030d8b5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "aced68d2a8df49a3b1f699216dd9e085": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "10%"
      }
     },
     "ad90358248c94db7a068446aa8b2300b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_d1e692f46cb047de8c4ae05198a6e017",
       "rows": 1,
       "style": "IPY_MODEL_3aad6fe89e6e40d885974754a038501f"
      }
     },
     "ad9f44c1dbbd4b7fa61ccd02de6c05ee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_70f51eae4c1044a2a0f4bd8697bad874",
        "IPY_MODEL_2b8c7b0d67c942f0b68a0e0ae4e8a64a",
        "IPY_MODEL_b224c798450945018dcb749cabbdefd0",
        "IPY_MODEL_2ddc2b6e9ceb479981bd69815a2df3dc",
        "IPY_MODEL_a39f0656fc304713bafcecd2cecc6a7c",
        "IPY_MODEL_175e6399c07c418fb463c1507b66b88b",
        "IPY_MODEL_c680c62a7d684b7da5fc9286abe6b5c7",
        "IPY_MODEL_220821bad0aa48a782869e95357dd40a"
       ],
       "layout": "IPY_MODEL_57ad5f69f4054d5f89117826d1de9bc3"
      }
     },
     "ada7b974f2224546a2b12cb3f7550cdf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "adbe81882aa94ee8ad57f4f5fc21d27a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_b888729fa589490494b27c222c6f669c",
       "style": "IPY_MODEL_7c85e78f144747a9b624702206d1071d",
       "value": "of 142"
      }
     },
     "adc539d4501d47829fb98bb713742dbc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_c987fe55a6d540e8bb3e1d6f2f170390",
        "IPY_MODEL_220e3d56abe84dfa853dd1248d81de40"
       ],
       "layout": "IPY_MODEL_ed125d65873646b090e1fc67fda4f597"
      }
     },
     "add8ae5c3729490cad8130d5a8388778": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_660af4a4508d4d468a15dbbe3ffcc72e",
        "IPY_MODEL_ae5f7836fb6b4a5fbcce8db5e9fe0604",
        "IPY_MODEL_591db9a0fabc417b9ee8fd22bab71622",
        "IPY_MODEL_791395cb4baf47b4a9e49cad92333580"
       ],
       "layout": "IPY_MODEL_4b17d57686f449659e19b0a2a3ee0f6e"
      }
     },
     "adf6714342114ce7ab8215d6c4844b66": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_17b3469f36214818b4d96564ad43aaca",
       "style": "IPY_MODEL_0a9a4f2ed72846aba81b7a228e4acc7c",
       "value": true
      }
     },
     "ae2a73c9297d40cf8dd49f14d20c52f0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_a2727c96244a46e8963c95e885ed5468",
        "IPY_MODEL_741fa5846bdc45e39ca5deb8c3527e36"
       ],
       "layout": "IPY_MODEL_1d1e52657247457998b8e7083eea3710"
      }
     },
     "ae5f7836fb6b4a5fbcce8db5e9fe0604": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_b707ff879b7541e3afc94cc792d668ab",
        "IPY_MODEL_4573cc1ebc7e4a958505b40de3a2f904"
       ],
       "layout": "IPY_MODEL_a7f9e53aad0f45fe808b28a770ba6b8f"
      }
     },
     "ae6dd2ff891542a9b21b0336e18af946": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "aed8b392b26c4f7f81efef30283579fd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "af6dc1f264c2436cb142db4ca46e43eb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "afd36993efe04b7e9c687feb3a9e6363": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_771150444b9d47e6b2e073536b7dd563",
       "style": "IPY_MODEL_1bb6aa1ebdbf4ace91acb639e2d9842a"
      }
     },
     "afddf5a75d254fec8945dddd9b1bcb4c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_52d9c41d58b1449098e96af2df93ec1f",
       "style": "IPY_MODEL_7e697fa182564d31b4da4ca49a82249f",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "b00ce25a62204b51a8d4cde48b53e83c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b0200d91ac024347af469bc2f164543a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_5b282054852b4548b49e2df9ee39aa86",
       "style": "IPY_MODEL_210bf8eb7050469da42606fbfb81aba4"
      }
     },
     "b0639b5f37ef4b6caa6adb9cdca4d5cd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_23a44905cf8545f0859ccc762952f78a",
       "style": "IPY_MODEL_ff42a3ba20ef4180a9c724f714079b33",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' viewBox=\"0 0 350 260.0\" max-width=\"100%\" height=\"780\" image-rendering=\"pixelated\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" alignment-baseline=\"central\">LSTM</text><rect x=\"149.0\" y=\"24\" width=\"52.0\" height=\"52.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_output_1\" class=\"LSTM_output\" x=\"150.0\" y=\"25\" height=\"50.0\" width=\"50.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"205.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">output</text><line x1=\"175.0\" y1=\"104.0\" x2=\"175.0\" y2=\"77.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel has shape (4, 1)\n output/bias has shape (1,)</title></line><rect x=\"74.0\" y=\"104.0\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_lstm_2\" class=\"LSTM_lstm\" x=\"75.0\" y=\"105.0\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"132.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">lstm</text><line x1=\"175.0\" y1=\"184.0\" x2=\"175.0\" y2=\"157.0\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel has shape (1, 16)\n lstm/recurrent_kernel has shape (4, 16)\n lstm/bias has shape (16,)</title></line><rect x=\"149.0\" y=\"184.0\" width=\"52.0\" height=\"52.0\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"LSTM_input_3\" class=\"LSTM_input\" x=\"150.0\" y=\"185.0\" height=\"50.0\" width=\"50.0\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"205.0\" y=\"212.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" alignment-baseline=\"central\">input</text></svg></p>"
      }
     },
     "b1261f0ede6e42edb47e1151569ae5be": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b17630bd1aba415a92fa849e2351c6e0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "b1acd3954ece4010ac0295771602150c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b1fbe23a195246c6bc1991188e772ca4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_9a613834e6fc459aa8afb31317d49e46",
       "max": 141,
       "style": "IPY_MODEL_0e2210c6d66f4ee4b4d4e87a623ef30d"
      }
     },
     "b21ff8adface4d8daf5cd83db3bb31ed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "b224c798450945018dcb749cabbdefd0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_7ade35e2ec2149eba849d2895e3589e1",
       "step": 1,
       "style": "IPY_MODEL_79310496a937490ca44f744e24280571",
       "value": 150
      }
     },
     "b22ec10e8e2d488880abe49f1cdb2341": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b2440e39610d4186bf3476c5988c60c5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b244cf8d53554c01a1d90912e859252b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b25a446ab43445f8a5cfa4e67c29538c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_82917025d2754aa8ab199f60127dfaaf",
       "style": "IPY_MODEL_6d3b6d890af449f198d614c37e4a53fa"
      }
     },
     "b26d189f0af1482185f4c4fb3c8c796a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_3bd5073c79504231b665b74e98228b7a",
        "IPY_MODEL_3feabd9b5b174e07b6ab8f2803d0ad8d"
       ],
       "layout": "IPY_MODEL_8089986e43c74afcaf837c81836809fc"
      }
     },
     "b271eceecae84de8a2df3c1e35fc21d2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "b291c9aa48a3434f81c3840a6e045640": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "b2b1a46152964a3c9db21fd122f035b2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "b339c8e5b7ec49da8c49c86c45a4bcf2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b35551712ea54a5a9775ec3da3a9f0ec": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b3596f11c826401da8faa0f3261a0955": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b36f056b97fb481bb1f49413e459240c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "b36f97d8eab54f20ae24a05835c3d4b7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b3f4ecd65dde4566a4be504622cb271a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "52%"
      }
     },
     "b463231647f44ef2abb4c1028eb967ea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b4866b70dd16452e9fc4094f476d0dcc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "b4a43a04e0b94751b794fea33e226ab9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_d1e692f46cb047de8c4ae05198a6e017",
       "style": "IPY_MODEL_3e567eec4d1a421ab26e8d4f8025bf57",
       "value": false
      }
     },
     "b4c4bd0e1a2143a08c3ecae6327162b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_7c6338cc98f540029854d128a9aec95e",
        "IPY_MODEL_d35865654aae49c1bfb529cb65bff646"
       ],
       "layout": "IPY_MODEL_de9bd87076a544a9bb37e683a9403fde"
      }
     },
     "b4f3b1bcfe4b4f89ac84b8ccf5512e4f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "b503bd76f50b49bfbf7f7c511c0eb71c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_b98fa67787234ac8867acbf93ec568e2",
        "IPY_MODEL_12dd2a2427f84306899b7375edd26665"
       ],
       "layout": "IPY_MODEL_96d944070e7846d4a6d7bd0dd0192766"
      }
     },
     "b54254ccfa3e469f9837daed6cf979fd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b568313110b548dfabd849862d2f9628": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "b5b6da470e6b4af39442c0f2e113616b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "b624679405284baca60d172396bad975": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b63033ae43464ce99d4a24a0ac576ebc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "b64d5cc0819d46f798c67ed99f77423f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_eb400f2e46894ce19a1aac490d7a8f0e",
        "IPY_MODEL_cb1976d505584c64b060ff01a43df870",
        "IPY_MODEL_43186ecb1dcf481aa20ee33b7e29ffe7",
        "IPY_MODEL_1cbd453cebc34042abc72a2bb752e16e"
       ],
       "layout": "IPY_MODEL_172d8942ba6948838fb2883c143a25cc"
      }
     },
     "b678e30c33c14ff897d20af4b7145724": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_fc2778c9c14c4a22984e7f1f9a76a2a1",
       "rows": 1,
       "style": "IPY_MODEL_bf74032cc0ba46b1a583898568b5271a"
      }
     },
     "b690173061944596a2c2c810ece0e1b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b707ff879b7541e3afc94cc792d668ab": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_78b4aa9dca944dc0951f591af9f93e0c",
        "IPY_MODEL_9500a4b0c81540428dac3c1be282ac2a"
       ],
       "layout": "IPY_MODEL_298d3dbea96e43ab80223de9a6dce5d5"
      }
     },
     "b7272fd1a4dd4ed0be3fd4eead2d6135": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_073897883d7b4a2c9a53986e281e8975",
       "style": "IPY_MODEL_f1cf6d9fceec4d2881f306abbc5b2d83",
       "value": false
      }
     },
     "b74c89ba17a44f9bb0dc590dcb92d832": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "b775989eafa9469b88c192ec8c0e7941": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_588cdcde5f98420f978c56bcbcbc57b4",
       "style": "IPY_MODEL_f27d228cc64045df8f57ac9565482a72"
      }
     },
     "b7951f2cc2044dea8b19dae9836340ad": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b7f423d36bc94dd79bbc8f5c0f4d97e1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "b7f730d2e8aa4637ac1e46cd2e43441b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_e5edc87a60f540ea81e2f7867c75eaad",
        "IPY_MODEL_a65e5209ef1b4b6083950bf3755106c6",
        "IPY_MODEL_2c3700e7c722467ab3d4ab1eaced1ac7",
        "IPY_MODEL_be0c3be480cb4e91b6d50dc47bd3e8f3"
       ],
       "layout": "IPY_MODEL_7d9840e1980643b5a1afbd2da9c11b9d"
      }
     },
     "b81fe0ddf2c4403c804c9306f14e9e14": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_a230374eb4a94472b49317f0d1e67733",
        "IPY_MODEL_e843597e1f5e411fb05ee77fd7eaa6b0"
       ],
       "layout": "IPY_MODEL_8f745f0598a6432f922797da04ce7f53"
      }
     },
     "b888729fa589490494b27c222c6f669c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "b896a7a390f94c8b9efad23f5f1f0231": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "b8a354d5d15d4119b161b8bdab792480": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_6df866deeb4547c08d211c01910f466e",
        "IPY_MODEL_0e35dea630fc49e89e6e14e890c96651"
       ],
       "layout": "IPY_MODEL_b95557eb12584dabaa4aef81db661d8c"
      }
     },
     "b90e49ee32664364be9fdd7671c9c257": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_5aec269d533f462a9f6318e0c0d5b0fc",
       "style": "IPY_MODEL_c926bbba60454bc4adb04da0394f88ec",
       "value": false
      }
     },
     "b9217be5027345e19ecfc743febed083": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b95557eb12584dabaa4aef81db661d8c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "b98fa67787234ac8867acbf93ec568e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_8c55fcb97d6a44d99c3089f4e0ff623c",
        "IPY_MODEL_26fb744f48e542f980e35a4adfd9cca4"
       ],
       "layout": "IPY_MODEL_89cef4ec466b499aa55e0b0f8e334f26"
      }
     },
     "b9a9ad4387f54c70b95d1af268c779ed": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ba160caa3fa84852b7cb11da67e23009": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "ba31b58359214ca4b5b560011c8e8565": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "ba3357424a9644a9b6465e1c8007cd60": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ba6434c81eab407db408e1286eb41e95": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_facf0f3b3d0a42228fede1880537c7a2",
       "step": 1,
       "style": "IPY_MODEL_4fb66f57b6424b0a97524fa2285afe88"
      }
     },
     "ba9ccfb6c48b40c0bbf84a0d3079b55c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "bb02f616b7d445d1ab5bdc276d2d533e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM with Window and State"
       },
       "children": [
        "IPY_MODEL_b26d189f0af1482185f4c4fb3c8c796a"
       ],
       "layout": "IPY_MODEL_4cffe1fd7c26483e9818683479b646e8",
       "selected_index": null
      }
     },
     "bbd1bc1e587440c4bf2172742aca15b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_628085fa8b514c62b7b59253b80dfd27",
       "rows": 1,
       "style": "IPY_MODEL_a8e69d6221f84cbe9a9a6e5c0c9a33a5"
      }
     },
     "bc306bb28eaa4c50958a3b49cf11aa34": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_fe3e82d587b74651ac96ddef20f79ce1",
       "style": "IPY_MODEL_f6aa6a4ede53468b96b557afedba625b"
      }
     },
     "bcb0f0ff0c2e44909fbc4706f7c484bb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "bcb9f2b4acbf45c48cd6825d84baa636": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "bcfd5aa346434abb8c8fda84c52ebf3e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "bd17507098bf4f8992cfa6748068c748": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "bd6553ef224f4fc0a376019c35d0837a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_d297081d9ce244748f383631387cd416",
       "step": null,
       "style": "IPY_MODEL_d1f87b1c08734089930fcb67bb8eea15",
       "value": 2
      }
     },
     "bd66bf8e2168424dbbf31e4819ec619e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_21b64844cad545deb1a42526dfec993a",
       "step": 1,
       "style": "IPY_MODEL_79bf733f4d3a4a739d45e8b383f82db1"
      }
     },
     "bd7a408b403d419fb3f35809dbcfc9e2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "bd7dcb9fd38949349afd28772483f5aa": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_073897883d7b4a2c9a53986e281e8975",
       "step": 1,
       "style": "IPY_MODEL_4c33c0c259cb4cf7b988bb184a941b3a",
       "value": 150
      }
     },
     "bda4b02170cf472b8d7e30ea4823cf77": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_2d1357a1807a48fab4c7e1553d88e965",
       "style": "IPY_MODEL_566050c0b1e64ab799ec5640e8fcb8d0",
       "value": "of 142"
      }
     },
     "bdba420c1dbf4adfaa63ac4bb4889bff": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "be09fa071ecc4633b6d6d06e06d7314a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "be0c3be480cb4e91b6d50dc47bd3e8f3": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_e5e1d2af727b4050bf7c1e5089d5936b"
      }
     },
     "be29b23866884eeeb7dc521dc7fe6739": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_5b1386914feb4fb49fdbb04a2807a470",
       "style": "IPY_MODEL_46ec2694ed0a442cb2af41cffdffe3ea"
      }
     },
     "be5e66f5a14d48069c997a7f25a38b5b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "be8564410db24f708521faa6f16b811e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "be8a37f71340441f93269abb22cd961b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_413cca38f2e04112a77ca1a0e6c24df6",
       "step": null,
       "style": "IPY_MODEL_87cf5f546b18417baa78b028b8e234f1",
       "value": 2
      }
     },
     "bf74032cc0ba46b1a583898568b5271a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "bf832d83b93c42a59bf896977ba0de04": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "bfb4edc4b4a64cb99704ace818dbc318": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_e143379bc17147e0932e8490a5bd900c",
       "style": "IPY_MODEL_d9d8bb5685654075b64c04804b458e98"
      }
     },
     "c02399a83d8b4f53b50b73d7ec91de41": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_23a212d450404c078488f9290bdc2fbf",
       "max": 141,
       "style": "IPY_MODEL_40fdc6377aed415c8b6b7528e0abf475"
      }
     },
     "c032b19a172043519ded5831ea041ba6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "c0434c93ee3c47c1bafa5b8d0f447672": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_363982e9a539409e91bd998d5c426b52",
       "step": null,
       "style": "IPY_MODEL_9db26957be6241b7be642ec51a0cc227",
       "value": 2
      }
     },
     "c05e64792e854460ab7cb71e4fa84ecf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "c05ec7d0c2dd47469c91b88339fb07a7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "c069865dea134dce85727ca2ffd71b1a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_e3bc08e4826649a283bfac3bfcc0a203",
       "style": "IPY_MODEL_dbd74c46b9d54d4785a2d7717c3787ee"
      }
     },
     "c099c98570e944c0bbd0b45d950e4887": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c0d398e202424aefbc279d152b8e8ca3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "c0e76d04d5a8487d844746f43ce23532": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c112461f302e4b5aa8a5d2e9682e26c1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "c150459f3fa94eb7ac0a4ca3a4184f82": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c15e06d083734135829a3fd221076dc0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_703a840a6a3d4462a297c908903501d7",
       "style": "IPY_MODEL_05c214d4f6994057ba88ed97eaead2d1",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "c16cb56e13114358bd2ba608d9456193": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c1af07cf27814c68b4647c3921f1d19a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_d577cd93445041a6a80b39ce47de1c4e",
       "step": 1,
       "style": "IPY_MODEL_4d8517eed9384ec283042e6bb7064eab",
       "value": 3
      }
     },
     "c1c918c88a204662b7497198e94cc9ff": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c1e10826e0144ac8be4244e9ae90dd0a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_daf5e9743ff0472db886640cd0785b3a",
        "IPY_MODEL_d7c4d336370b4b8ca97226d4de8eb5ec",
        "IPY_MODEL_08d2f87166854854a75b9cdf839da19a",
        "IPY_MODEL_592b28eecf1f41c19c5d9c0fc335058c",
        "IPY_MODEL_66be6d7cba40438e811410228edf230a",
        "IPY_MODEL_9a7858b166b7472c81f72c9ba7cdca67",
        "IPY_MODEL_4a31ea08b7344f68beaae168fb636fd6"
       ],
       "layout": "IPY_MODEL_5f4715e5aba54bc58d6dea62c964563b"
      }
     },
     "c226319296e14b9198f18b55a74203a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "c23213bbb1204fc49a805e4a4059ab8e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c24b0c0b9f644d67aab46e5ba48cac6b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_6adab0432e9a425bbbda60b4b6c6aa66",
       "style": "IPY_MODEL_349b86c2c9864aac96d1ab1574739b9c",
       "value": "of 142"
      }
     },
     "c256cd11b615489ab670f8b72cb7d208": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "c29c0934f9c64a0ba29bbf0cd61084ef": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_2f2925c6fca74098ad303be3f2898c31",
        "IPY_MODEL_b90e49ee32664364be9fdd7671c9c257"
       ],
       "layout": "IPY_MODEL_48d5c5fbe4cd444eaa5bca2c68880ead"
      }
     },
     "c2a255e8b0c64680b9cb8971e3aff61e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_f0c4d66977654514abd8cd52491529fe",
       "rows": 1,
       "style": "IPY_MODEL_a6f653f307754965acc6e680afa8951a"
      }
     },
     "c31e99dae4e8448983d8f6e278375025": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "c377c07255df4c39accb648d1a8bc0c9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "c3ab5b69b0dc47199ef81c9a78789961": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "c41489c79de647598972d67b2677892b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "c42e16cbaaa4440bb1fd5c1360bde2b9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c42fade553ed4220a9b604c8a2dba3ba": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "c45e5e71217b48a6be64c564733994cc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "c466132c2777476cb294458cf9541765": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_b678e30c33c14ff897d20af4b7145724",
        "IPY_MODEL_36a0a197b9444d7ab3f6021ef9ebe6e3",
        "IPY_MODEL_6375c990f4c84abfa731d1c0512e8e11",
        "IPY_MODEL_d2e17a392aca4b8e83a7741b193c451b",
        "IPY_MODEL_d13cb76bcfcf4ee98303d5ddc2469c4e",
        "IPY_MODEL_2677d974e2cb47fa93494db43bc1ea41",
        "IPY_MODEL_e1d0fa39269045e4b17723c09ba70194",
        "IPY_MODEL_464c6648412a4a7bb7778d5516a5c907"
       ],
       "layout": "IPY_MODEL_a7f24e0a9af743ce96868eec1a8a203d"
      }
     },
     "c48dfe22977c4b798a971c0a935ee3fc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "c4c91859c6ce4e689767122b3d51e979": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c4ef1304fec7482095470db1428d4418": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c52a068d85a04c77858d071196807671": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_a12ead3b804b496eab0597dbbc87dbbf",
       "max": 1,
       "step": 0.1,
       "style": "IPY_MODEL_c7314b40d6da4b5bb32f8d8bff05e95d",
       "value": 0.5
      }
     },
     "c56b94d10a0d474fb927dcfdd4ff8927": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_e8cfa286e5d946fc9f31e3ac4d256782",
       "style": "IPY_MODEL_cea2e8b0a0454acc8361035828c65dc9"
      }
     },
     "c5b872dfd6a44c1593bbd42d24f2c596": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "c5bb4226213b48eeb20bf1b0fb5fcc61": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_c42e16cbaaa4440bb1fd5c1360bde2b9",
       "step": null,
       "style": "IPY_MODEL_a96a7749bfe648fcb56531e6da201b56",
       "value": 1
      }
     },
     "c5ff0aee5e4c490f8962f391beeb8400": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "c64dc71691204a1c8ba5435f49ce42dd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "c680c62a7d684b7da5fc9286abe6b5c7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_ddcfec21a5ba494aa951a7a2d9ef04c0",
       "step": 1,
       "style": "IPY_MODEL_e84d647475b7490e940db14e4c57f4c7",
       "value": 3
      }
     },
     "c7314b40d6da4b5bb32f8d8bff05e95d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "c767c96b87bd45d2a15c0fd57f7b2dde": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "c7e3a33c5c794488881f1ac59a79b1ed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_025d9f874209437f9b75a10ec45dbdb3",
       "step": 1,
       "style": "IPY_MODEL_dfd2e4316d574873abdb41171fbab806"
      }
     },
     "c82d898579dc4e08915c39dfeda92fbf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "c855cde28e2a49afa8d25b1972cb0bb2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_71b3d2fffd814074b2c7dcaa6344c985",
       "style": "IPY_MODEL_4c932ffd5f894585a759bc582518dc74"
      }
     },
     "c86308aacd5f4228a93fbaf76aa4bed9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "c8a5ce2516dc41139d7e2834579cd16b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c8aad6fd0c8349d69ee1b26afb2f4476": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_a2e9594c538e4ac89b7be6690832098b",
       "style": "IPY_MODEL_2e5656677f814d3485c12572c28346d2",
       "value": false
      }
     },
     "c90fdc612fb14a649c8476815abcc46f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_8714ad950ca64c1b94a3817dc1cad043",
       "style": "IPY_MODEL_d7b0c1cda58143668a6aa5d5af8a702d"
      }
     },
     "c9233069156843b398b9f595daae92e8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_6324fb29a81745a2a0470785e29043d5",
       "rows": 1,
       "style": "IPY_MODEL_77712b0c0e404e688593d107d864e352"
      }
     },
     "c926bbba60454bc4adb04da0394f88ec": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "c93bf82e86c14c44a9f40c7b3b45da33": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c966f6a60061431f81ce772e9c666c38": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "65%"
      }
     },
     "c987fe55a6d540e8bb3e1d6f2f170390": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_92c9bebaec144693879dd2608a43098b",
        "IPY_MODEL_eac14f44353b47bda4c36fa7bb738cd7",
        "IPY_MODEL_6cf4529ff59d4455a856bf8250471f7a",
        "IPY_MODEL_a3d10bc61a3b43bcafbb549dfe9fa92c",
        "IPY_MODEL_9b48663f1dfe44d789766d63e617a601",
        "IPY_MODEL_0b0db6e38f2c4657b64ecbc04f8769c6",
        "IPY_MODEL_03776fdcfbee41abb545bc91b46b2292",
        "IPY_MODEL_758b9376b5b84a8887a3535c8ce2b07e"
       ],
       "layout": "IPY_MODEL_e2a03c0aebe849ee8168f8e86038786c"
      }
     },
     "c9ca10328e8f4430862a152da2478221": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_ae2a73c9297d40cf8dd49f14d20c52f0"
       ],
       "layout": "IPY_MODEL_0c601b9e25e1429badac343188429e41",
       "selected_index": null
      }
     },
     "ca176623ae664159a1b4326a1513d9cf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_d4b43bbd9ab546968b5bfdb891a88189",
       "rows": 1,
       "style": "IPY_MODEL_fc995a3fa729415390122a92a098e7b3"
      }
     },
     "cb1976d505584c64b060ff01a43df870": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_6312d6377a0a4d13a75a2197852a7acb",
        "IPY_MODEL_812b8c1062ee40d69924a3d5ec71f3c0"
       ],
       "layout": "IPY_MODEL_a264b553487a41e58bb4cfafa714cc8a"
      }
     },
     "cb52f5e5f5dd48179e33e7b681fc9a43": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "cbdf170f854e45b3bb4bd267e66dfa38": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_f3eadf0612b44dd49420da690bb97352",
       "max": 95,
       "style": "IPY_MODEL_5756c5e3e9dd4fd48f1eece728e27e56"
      }
     },
     "cbfb201e6cf449ed92a747621cc52d37": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_aed8b392b26c4f7f81efef30283579fd",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_275a132a2c06446dbb8f33e547115e43",
       "value": 1
      }
     },
     "cc2dc7fe285d40d888d2df7d1743d3cf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_3ccfff54d1d84a0a9cb2281612799a26",
       "style": "IPY_MODEL_9787938426cc487f999bc5d74d58a3ea",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "cc5dd8bb57574536beefebfab3baf972": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "10%"
      }
     },
     "cc72d7bb08b5453c9e0a033f2cd87785": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ccec9095a9ff46acaf1f65cabe7172a7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "cd196e32cb9642c7904f6da1b24affc3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_612f634a01d9486b9d24cfea1a057b5b",
       "style": "IPY_MODEL_dd822c5045524f28adb2c98f52ed3f0c",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' image-rendering=\"pixelated\" width=\"400.0px\" height=\"297.1428571428571px\">\n <g >\n  <svg viewBox=\"0 0 350 260\" width=\"400.0px\" height=\"297.1428571428571px\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><rect x=\"149.0\" y=\"24\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-264289_output_1\" class=\"picture-dashboard-LSTM-264289_output\" x=\"150.0\" y=\"25\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (-Infinity, +Infinity)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"205.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >output</text><line x1=\"175.0\" y1=\"104\" x2=\"175.0\" y2=\"77\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel:0 has shape (4, 1)\n output/bias:0 has shape (1,)</title></line><rect x=\"74.0\" y=\"104\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-264289_lstm_2\" class=\"picture-dashboard-LSTM-264289_lstm\" x=\"75.0\" y=\"105\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: lstm (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"132.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >lstm</text><line x1=\"175.0\" y1=\"184\" x2=\"175.0\" y2=\"157\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel:0 has shape (1, 16)\n lstm/recurrent_kernel:0 has shape (4, 16)\n lstm/bias:0 has shape (16,)</title></line><rect x=\"149.0\" y=\"184\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-264289_input_3\" class=\"picture-dashboard-LSTM-264289_input\" x=\"150.0\" y=\"185\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAAICAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAIZgABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVqxADAgA7\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"205.0\" y=\"212.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >input</text><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\" >LSTM</text></svg></g></svg></p>"
      }
     },
     "cd213a7fed1f438da87508a4164c31a5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_43aebbce73174052933af442deca853d",
       "step": 1,
       "style": "IPY_MODEL_90c1c89e02904781abf89ea347bf503e"
      }
     },
     "cd299de042df43b59fd351cd923374db": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_a2e9594c538e4ac89b7be6690832098b",
       "step": 1,
       "style": "IPY_MODEL_4cd91cd593e54762b68377b11542a00e",
       "value": 150
      }
     },
     "cd4577ad30a540009a291846c8b3e2fa": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Visible",
       "disabled": false,
       "layout": "IPY_MODEL_5aec269d533f462a9f6318e0c0d5b0fc",
       "style": "IPY_MODEL_e3113997e697494f8f74b63b4bf8818c",
       "value": true
      }
     },
     "cd5d662709ef41e19035d324544fad91": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "ce28183e587f482c9e8fff48ef8184fb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_6324fb29a81745a2a0470785e29043d5",
       "step": 1,
       "style": "IPY_MODEL_4f04b6d13a744bd5b620416530756693",
       "value": 150
      }
     },
     "ce9e9e3a6e1444da828865f5bb89ad41": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "cea2e8b0a0454acc8361035828c65dc9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "cee37eb42382424ca6f2020e73e110f8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "cf06255b2c4c485e841cc71d94294f03": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "cf416ed2c70646298c03c3d1fe273b28": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "cf79855f86ae494e9e2d9277af7fe046": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "cfad7ce479f84db6b8f24dc69647418f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_d8e9591671ce4f9db1e1b7fc828c55fe",
        "IPY_MODEL_cbfb201e6cf449ed92a747621cc52d37",
        "IPY_MODEL_72d4a0681fe8424e97e871794444af9f",
        "IPY_MODEL_a2dbc8cc94c14d0caf123fa9fc920806",
        "IPY_MODEL_fa907303a83e4819a198db45dbfaa0e0",
        "IPY_MODEL_5d6b973fe38846a1936133944d0c42c3",
        "IPY_MODEL_efb7d3bafd67436693a17833eed1915e",
        "IPY_MODEL_ecad2620eb7e41b09062e0ae55a2d0f4"
       ],
       "layout": "IPY_MODEL_fe78ca49ca63440f9a07daca3c6e4f4d"
      }
     },
     "cfc4385be2c04e26b7fcc8bd468b180a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "d04ec0da94f54449bb160d567e9be0a2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "d09453949b95464d99f4b8fc7a2e91c7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d0998b01fe8244d3a2860674cd0ef9f4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_02e20068536e4b1dac01c708fe2a35a1",
        "IPY_MODEL_fbe4c1283eca439ca801185ecc7f0467"
       ],
       "layout": "IPY_MODEL_720dfba880204c3f8555934f1bac0d42"
      }
     },
     "d09b4f008ea549c6854f4d8b2e2fa17a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_3a250cd4833146c080ce277a47718876",
       "step": 1,
       "style": "IPY_MODEL_a36a11692ba64031977890c8e2eefe85"
      }
     },
     "d0c5942b006d45c6a8c9e57b1be534eb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d0d0f60fdab24c5ab0d4d7e75e843fae": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_d0c5942b006d45c6a8c9e57b1be534eb",
       "style": "IPY_MODEL_27300f13dcb84c758ad2c5b9f09bf306",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "d0fdede494464855b85f0d69e9de9945": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_ba31b58359214ca4b5b560011c8e8565",
       "style": "IPY_MODEL_a25ec80fbe674b35a85792c8141af6f1",
       "value": "of 142"
      }
     },
     "d10eb91bcc62447db76cdab35b53c53e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_e282dc03e9a2459ea5b1b86d97843c68",
       "rows": 1,
       "style": "IPY_MODEL_0e91ef5da9894a26963a67a4b66971e0"
      }
     },
     "d13cb76bcfcf4ee98303d5ddc2469c4e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_14efc61eb504407888bd0b369d8a2576",
        "IPY_MODEL_2d106c0c096046e09f08ee8a000816e0"
       ],
       "layout": "IPY_MODEL_4298016e56fb42928b2a9ea61435a248"
      }
     },
     "d19bca38130b4217bc6535be016ede00": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "d1dfb75902be4888adabec9c97f55e8f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d1e692f46cb047de8c4ae05198a6e017": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d1f87b1c08734089930fcb67bb8eea15": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "d240484193d34b65943c6ab6a5a57e3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "d250bc4b57f1475a83a635f677db8289": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "d2716e77ec3c4b6db7642fe2435cc49d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_c966f6a60061431f81ce772e9c666c38",
       "max": 1,
       "step": 0.1,
       "style": "IPY_MODEL_4fe4f218f7de42aaa5bca3967c3694e2",
       "value": 0.5
      }
     },
     "d297081d9ce244748f383631387cd416": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d2cf82d0f2904e22bd15a509e33859db": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d2e17a392aca4b8e83a7741b193c451b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_91625a4e6cb14a2b8aa3eb5f7e7d3d77",
       "step": 1,
       "style": "IPY_MODEL_64236af927f141d89cb1ae437f7a332a",
       "value": 30
      }
     },
     "d32d1460c1f34fe3881d007ef76a89d8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "d34c0f3dd94c47e7a7c6dcaa8155cc68": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d35865654aae49c1bfb529cb65bff646": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_afd36993efe04b7e9c687feb3a9e6363",
        "IPY_MODEL_6c7d684a271543c0ab5a123f735090cb",
        "IPY_MODEL_ed28136630994e728be4027a18a21569",
        "IPY_MODEL_faeab75134e0413e8230b11bdabe40b1",
        "IPY_MODEL_8da5d37d37c64cabb5cbb836cc44cda0",
        "IPY_MODEL_e93d7523fc804381a250f912095cee4c",
        "IPY_MODEL_865afea6c2384955802b92be7517bb69"
       ],
       "layout": "IPY_MODEL_48899a7497e74e65ad67ac90131d237a"
      }
     },
     "d35f70a50b9d411f9caf825eb477aa9f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "d365113fc0b54bfc956133001ed65d77": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "d3a1c7c32432420a84bba1eb8e4dcb76": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d3a1fb57ed8a45109b8a2d6db9a4941f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "d3c45c154389476c8bb0c574223fa316": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d428b3e5a3b3495f9e1c79046e3f65b5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "d434bf2b7af54f6096ce5f9a3116dfe6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_d1e692f46cb047de8c4ae05198a6e017",
       "style": "IPY_MODEL_3b4eedfc10384898894d98f8682f71d3",
       "value": false
      }
     },
     "d486691b87e24248860671fe48cb06ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "d4b43bbd9ab546968b5bfdb891a88189": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d4d4ce0a0b3147dfae82f00c32c07af9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d4f65391b3064bd6a136759d08eb3a63": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_08b35e80dda24317a8525ecb2834ab01",
       "rows": 1,
       "style": "IPY_MODEL_797e2d000c3e42549962b5b86adee6d9"
      }
     },
     "d4fb5a6350af40a493ec30e345015f5e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d5178150c4834eacbfccc5e8c952171d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d5610e45aa334bdc96f168a6e5e11b6b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_70cfdce0dd5f4896a3d6d49d25f19b8a",
       "rows": 1,
       "style": "IPY_MODEL_004dc35140044303b065c25d86190353"
      }
     },
     "d577cd93445041a6a80b39ce47de1c4e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d5783ecb2813401aa71c8822bb6ba2ea": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "d59871b228b447c09bf050c4efd47175": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "d59c8ac8e4cc4955bcda6de7755022d2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "d5c1d2001e9b4f568b87094810463b8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_fb26d810a24f4dff88d2d2aab877ae79",
       "step": 1,
       "style": "IPY_MODEL_1fa70b3c95dc41c29d71a3960c438b33"
      }
     },
     "d5d17a3efdbb46c0bf472dd4099c0f21": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_a2e9594c538e4ac89b7be6690832098b",
       "rows": 1,
       "style": "IPY_MODEL_177a178f57ca4a25bdc5ce4517c8ddaf"
      }
     },
     "d60bac0590f741489f58f5cd446a0564": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "d62f24b6c2964440952f5c8ead2245b8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_b1261f0ede6e42edb47e1151569ae5be",
       "style": "IPY_MODEL_9feace8a72504301865d11457382520d",
       "value": false
      }
     },
     "d64937e9fed0417ba252be0cc956616a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "d785cf8d00a348a39a9a0ac916bfbb60": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "d7b00de5d1ff47d1b2bdad09420cd018": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_04f33167bf7f4661be5cac6bfe6f64f5",
       "rows": 1,
       "style": "IPY_MODEL_680a6a3d2e414c59a0cd62936ed5d582"
      }
     },
     "d7b0c1cda58143668a6aa5d5af8a702d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "d7c4d336370b4b8ca97226d4de8eb5ec": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_e8425c3392444f0d8d467993da4067a7",
       "style": "IPY_MODEL_1bc40df1745a4f5182bf8de98ed42ce0"
      }
     },
     "d8e9591671ce4f9db1e1b7fc828c55fe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_c0e76d04d5a8487d844746f43ce23532",
       "rows": 1,
       "style": "IPY_MODEL_1cad58e347fc41239b533fda80e2fe5d"
      }
     },
     "d8e95f8be39448bbbf83aef4b0cbcad9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_d973025c47624994ad64cf4155e43d7a",
       "style": "IPY_MODEL_c0d398e202424aefbc279d152b8e8ca3"
      }
     },
     "d921ca3af5a24a5c9008f70b81c2ee19": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "d92a6e2106d64feb99cfd7a795bea074": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_b54254ccfa3e469f9837daed6cf979fd",
       "step": null,
       "style": "IPY_MODEL_620980875bb949b5b1d0addaf0f87bab",
       "value": 2
      }
     },
     "d95b1de7e96d45da81b02012dd989828": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d95f4d2227ee4396bdf4f576d98923a5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d95fc2001bc94c79817ca55598bbd8cf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d973025c47624994ad64cf4155e43d7a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "d97b9e7de96d4909a0e2ee3b2cf69065": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_a651814e41b143f8aaa53440d387d20f",
        "IPY_MODEL_dea6c6cc78d9418bb5a327148d11c77d"
       ],
       "layout": "IPY_MODEL_c16cb56e13114358bd2ba608d9456193"
      }
     },
     "d989d3eaebbb420f942149ad92c3eb40": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "d9d8bb5685654075b64c04804b458e98": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "d9e9c16ca2ed49cdb81f52abd7fcbdea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "da006f38e626411aa691544cffb58988": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "da086ff7dacd4c729024011a18969874": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_d4fb5a6350af40a493ec30e345015f5e",
       "step": null,
       "style": "IPY_MODEL_8b245bdc20ba4fdba9768f583c805e17",
       "value": 1
      }
     },
     "da3b5c60e92a472489ad0585ef45fb40": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_54ae3bc915a043a1b25a6e899637c9af"
      }
     },
     "da3bfdcb89aa43038b178faedbda7346": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_5aec269d533f462a9f6318e0c0d5b0fc",
       "step": 1,
       "style": "IPY_MODEL_8d4682eacbdf4408b001dee2104fbb7e",
       "value": 150
      }
     },
     "da9558753d9842a7804ca38535f9315a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_898c546a4ce14e00b5610622ae81b58c",
        "IPY_MODEL_890d774f909946c5899dde4a05754c0f",
        "IPY_MODEL_66a4c56ae9b74f50b4c14bac587c7377",
        "IPY_MODEL_dfd188e464964e0c96ae9d8bd5a4ea51"
       ],
       "layout": "IPY_MODEL_3f8baf10df244ab7bef940ddc51c2974"
      }
     },
     "dab7dca06b7f4183a2ff323465d6da20": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_f63b7dacf66d4a1fb08dd2e35c9e386a",
       "rows": 1,
       "style": "IPY_MODEL_ec9127802d594046b43b0aa157336c68"
      }
     },
     "dad4802bff564cff956393f2b6df9347": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "dadbf5297d304c58bccdd9387ca1caa6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "dae1595f59da4f89b754be26515649f1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "daf5e9743ff0472db886640cd0785b3a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_28bf11974c594957bcae72f39e49681f",
       "style": "IPY_MODEL_0d2c2c63f24d472893d976ce7475935e"
      }
     },
     "db6ebaf9c73a484ab9f079dc7f78898e": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_5f4dbad42b7f48df9edfb35fd282fe43"
      }
     },
     "dbd74c46b9d54d4785a2d7717c3787ee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "dc26287d81da47ed90cfe27fcfd336c8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_1bce792ec07e43fe8c52ab2b55a5f71c",
       "style": "IPY_MODEL_45a3fa82f35849c9b8819a6b28f414f0"
      }
     },
     "dc5410d8aa154181bbdda4e0513c89a5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_9f39c0719a1745a2825f73c9cbef8cd3",
        "IPY_MODEL_fabe789918ce4c39ad55708b203e82d4"
       ],
       "layout": "IPY_MODEL_a4572f23aafd49d8b7b055d97fb17653"
      }
     },
     "dc5714e777df42ffb13860e6a9f70042": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "dc60ea11def04ec38fed8006d44eaff6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_24f74e3df8d24c9ca217115879e4bd87",
       "rows": 1,
       "style": "IPY_MODEL_3c46a9d2c2c84c6683b7e8ce6d9ad100"
      }
     },
     "dc6c44a7b9be466c8336f87141a09bff": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_d3c45c154389476c8bb0c574223fa316",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_f42bcb76dde94b749e73bf90248dfef8",
       "value": 1
      }
     },
     "dca9db1c4f0242fd9e50069d51849fb9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate network",
       "disabled": false,
       "layout": "IPY_MODEL_179b235b85f64ef181df39173af84940",
       "style": "IPY_MODEL_a4be260efbf2431685f2683522a7ced4",
       "value": false
      }
     },
     "dcfc9d5cb21744f7bb1851b203e4542a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_088c274d65ee446a93c850ea2feeefdc",
       "style": "IPY_MODEL_d59871b228b447c09bf050c4efd47175"
      }
     },
     "dd2693e5eb284ae590172a79fa1e5859": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "dd815f2150fd4f11b6e11bad36fe562c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "dd822c5045524f28adb2c98f52ed3f0c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "ddcfec21a5ba494aa951a7a2d9ef04c0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ddeb5a3e7d374eddbf3936abb39c0229": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ddff28e2cd3749aeaac278a2aa02d1bb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "de7a441e08854f668ed3b6f051021808": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "de8854b4dd6e47d3b5cccb92c39da780": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "de9bd87076a544a9bb37e683a9403fde": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "de9f0462ea96418a86b52228c556b486": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_311a6f9164f543e4849f7606b66837f2",
        "IPY_MODEL_3bce70759d1d494898e580cb2effbcfa",
        "IPY_MODEL_1b6634be83a94dc78254ec718f709279",
        "IPY_MODEL_4e1f7ffd8e3b4e56bbbc7d2c1040f01e",
        "IPY_MODEL_5989395f6cfc48c89eb0713e62049db3",
        "IPY_MODEL_2f1be69fa01141eea3aef8e30c84625b",
        "IPY_MODEL_08f78ae26d5141f28abcdfb19abf0958",
        "IPY_MODEL_4fa6484183ef4731a45715cb49fba2a0"
       ],
       "layout": "IPY_MODEL_98f5238cae2c49388e376e6d91ed0ae2"
      }
     },
     "dea6c6cc78d9418bb5a327148d11c77d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_2b97e1aa76714029b20203290e1adac3",
        "IPY_MODEL_75c4283f882543939dfa5b4eed9f92d8",
        "IPY_MODEL_079a736c31314520b577d758f5de4811",
        "IPY_MODEL_6c246cfbe5ec4d08af63e3c358b6268f",
        "IPY_MODEL_5ef3f9b5a5554aa6b9e6e289434b2ee9",
        "IPY_MODEL_5aec57ea5440412d8123246db5503cfb",
        "IPY_MODEL_d5c1d2001e9b4f568b87094810463b8b"
       ],
       "layout": "IPY_MODEL_9de4246bed40414b9341a4dbaa640bfb"
      }
     },
     "ded369e1f3114c028043cac458a52d58": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "save",
       "layout": "IPY_MODEL_cc5dd8bb57574536beefebfab3baf972",
       "style": "IPY_MODEL_fa62a27b0c4847f5ad823720f39ee05d"
      }
     },
     "dfb86fcb59764dd69d8119fab2f7264b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "backward",
       "layout": "IPY_MODEL_d5783ecb2813401aa71c8822bb6ba2ea",
       "style": "IPY_MODEL_7a1e15dce34c4c97901211248bd206c1"
      }
     },
     "dfc9580cea344d5ebcf071d502f2152e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "dfd188e464964e0c96ae9d8bd5a4ea51": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_4d25d6ea87884b1ca7a37b983f82f17c"
      }
     },
     "dfd2e4316d574873abdb41171fbab806": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e070b49bc08d4d0b83d5532726473acd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_36c137dcc23449a1aee562d2f112b35f",
       "step": 1,
       "style": "IPY_MODEL_e13c347648a14e39ab12b54886779a2c",
       "value": 3
      }
     },
     "e0e9893838a04e758b7304b80c0009d6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_a3ea95d0a9b8424da1cd7f1df1461398",
       "step": null,
       "style": "IPY_MODEL_b5b6da470e6b4af39442c0f2e113616b",
       "value": 2
      }
     },
     "e0f09b76c8e2426caae53edffadd254b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "e13c347648a14e39ab12b54886779a2c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "e143379bc17147e0932e8490a5bd900c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "e19049877b3147b9b4b5a7bbb34efbc3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "e1d0fa39269045e4b17723c09ba70194": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_a03564e7c9b44388bca88a91ea7b2853",
       "step": 1,
       "style": "IPY_MODEL_261566554c5e445cad65025c736a102a",
       "value": 3
      }
     },
     "e223230cbae6484fae33cc5bae1acfaa": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "e26833283d25499fb7db4471c7da19ce": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "65%"
      }
     },
     "e282dc03e9a2459ea5b1b86d97843c68": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "e2a03c0aebe849ee8168f8e86038786c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "e2cbeaf8af9d45e3a3232c999be109b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e2e2d099f5554057a7c18ce451f7e9ad": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_6c291e7265624b7780a791a3a5cf5c13",
       "style": "IPY_MODEL_025d6d52205d4307a0c2d2291f692c85"
      }
     },
     "e3113997e697494f8f74b63b4bf8818c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e348776ccc4a472fa3f32a4a57b05a33": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_f0cdf5b4db664f179a2127a077c94aff"
      }
     },
     "e365abbfe4fa4e0790b983097515abeb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "e37b1c249c864f31aeafe5baeca1927a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_5c5125bdf7134446bc7ee5c29f27eafc",
       "step": null,
       "style": "IPY_MODEL_c45e5e71217b48a6be64c564733994cc",
       "value": 2
      }
     },
     "e3bc08e4826649a283bfac3bfcc0a203": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "e46b0d6991934add8a2c13e1ca051109": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_9a39e434645e420aa344d32c130ac248",
       "style": "IPY_MODEL_b35551712ea54a5a9775ec3da3a9f0ec",
       "value": "<p style=\"text-align:center\"><svg id='LSTM' xmlns='http://www.w3.org/2000/svg' image-rendering=\"pixelated\" width=\"400.0px\" height=\"297.1428571428571px\">\n <g >\n  <svg viewBox=\"0 0 350 260\" width=\"400.0px\" height=\"297.1428571428571px\">\n    <defs>\n        <marker id=\"arrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"9\" refY=\"3\" orient=\"auto\" markerUnits=\"strokeWidth\">\n          <path d=\"M0,0 L0,6 L9,3 z\" fill=\"black\" />\n        </marker>\n    </defs><rect x=\"149.0\" y=\"24\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-569732_output_10\" class=\"picture-dashboard-LSTM-569732_output\" x=\"150.0\" y=\"25\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (-Infinity, +Infinity)\n shape = (1,)\n Keras class = Dense</title></image><text x=\"205.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >output</text><line x1=\"175.0\" y1=\"104\" x2=\"175.0\" y2=\"77\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from lstm to output\n output/kernel:0 has shape (4, 1)\n output/bias:0 has shape (1,)</title></line><rect x=\"74.0\" y=\"104\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-569732_lstm_11\" class=\"picture-dashboard-LSTM-569732_lstm\" x=\"75.0\" y=\"105\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdh+AA+AIcAAP/8/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAA+AA+AEAI/wADCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaJEABgzatzIsaPHjyA3BggAoKTJkyhTqlzJsiXKAAEAyJxJs6bNmzhz6qwZIACAn0CDCh1KtKjRo0IDBADAtKnTp1CjSp1K9WmAAACyat3KtavXr2DDcg0QAIDZs2jTql3Ltq3btAECAJhLt67du3jz6t1rN0AAAIADCx5MuLDhw4gHBwgAoLHjx5AjS55MuTLkAAEAaN7MubPnz6BDi+4cIACA06hTq17NurXr16oDBABAu7bt27hz697N+3aAAACCCx9OvLjx48iTEw8QAIDz59CjS59Ovbr16AECANjOvbv37+DDi/8f7z1AAADo06tfz769+/fw1wcIAKC+/fv48+vfz78/foABAgAgWNDgQYQJFS5keDBAAAARJU6kWNHiRYwZKQYIAMDjR5AhRY4kWdJkyAABAKxk2dLlS5gxZc50GSAAAJw5de7k2dPnT6A7AwQAUNToUaRJlS5l2hRpgAAApE6lWtXqVaxZtVYNEADAV7BhxY4lW9bsWbEBAgBg29btW7hx5c6l+zZAAAB59e7l29fvX8CB+QYIAMDwYcSJFS9m3Nhx4gABAEymXNnyZcyZNW+2HCAAANChRY8mXdr0adSjAwQA0Nr1a9ixZc+mXRt2gAAAdO/m3dv3b+DBhfcOEAD/wHHkyZUvZ97c+XPlAQIAoF7d+nXs2bVv5349QAAA4cWPJ1/e/Hn06ckHCADA/Xv48eXPp1/ffvwAAQDs59/fP0AAAgcSLGjwIMKEAQIAaOjwIcSIEidSrAgxQAAAGjdy7OjxI8iQIjsGCADgJMqUKleybOnypcoAAQDQrGnzJs6cOnfyvBkgAICgQocSLWr0KNKkRAMEAOD0KdSoUqdSrWo1aoAAALZy7er1K9iwYsd6DRAAANq0ateybev2Ldy1AQIAqGv3Lt68evfy7Ys3QAAAggcTLmz4MOLEigsHCADgMeTIkidTrmz5suQAAQBw7uz5M+jQokeT/hwgAIDU/6pXs27t+jXs2KwDBABg+zbu3Lp38+7tO3eAAACGEy9u/Djy5MqXGw8QAAD06NKnU69u/Tr26QECAOju/Tv48OLHky8PPkAAAOrXs2/v/j38+PLbBwgA4D7+/Pr38+/vHyAAgQMJFgwQAEBChQsZNnT4EGJEhgECALB4EWNGjRs5dvSYMUAAACNJljR5EmVKlStNBggAAGZMmTNp1rR5E+fMAAEA9PT5E2hQoUOJFgUaIAAApUuZNnX6FGpUqU0DBABwFWtWrVu5dvX6VWuAAADIljV7Fm1atWvZng0QAEBcuXPp1rV7F29eugECAPD7F3BgwYMJFzYcOEAAAIsZN/92/BhyZMmTHQcIAABzZs2bOXf2/Bn05gABAJQ2fRp1atWrWbdGHSAAANmzade2fRt3bt21AwQA8Bt4cOHDiRc3flx4gAAAmDd3/hx6dOnTqT8PEABAdu3buXf3/h18eO4BAgAwfx59evXr2bd3nz5AAADz6de3fx9/fv377QcIABCAwIEECxo8iDChwoIBAgB4CDGixIkUK1q8KDFAAAAcO3r8CDKkyJEkPwYIACClypUsW7p8CTMmywABANi8iTOnzp08e/rMGSAAgKFEixo9ijSp0qVGAwQAADWq1KlUq1q9inVqgAAAunr9Cjas2LFky4INEACA2rVs27p9Czf/rty2AQIAuIs3r969fPv6/as3QAAAhAsbPow4seLFjA8HCAAgsuTJlCtbvow5M+UAAQB4/gw6tOjRpEubDh0gAIDVrFu7fg07tuzZrgMEAIA7t+7dvHv7/g18d4AAAIobP448ufLlzJsjDxAAgPTp1Ktbv449u/bqAQIA+A4+vPjx5MubPy8+QAAA7Nu7fw8/vvz59N8HCAAgv/79/Pv7BwhA4ECCBQ0eJBggAACGDR0+hBhR4kSKDwMEAJBR40aOHT1+BBmSY4AAAEyeRJlS5UqWLV2mDBAAwEyaNW3exJlT506bAQIAABpU6FCiRY0eRTo0QAAATZ0+hRpV6lSq/1WhBggAQOtWrl29fgUbVmzXAAEAnEWbVu1atm3dvlUbIAAAunXt3sWbV+9evncDBAAQWPBgwoUNH0acmHCAAAAcP4YcWfJkypUtRw4QAMBmzp09fwYdWvRozwECAECdWvVq1q1dv4a9OkAAALVt38adW/du3r1xBwgAQPhw4sWNH0eeXHnxAAEAPIceXfp06tWtX5ceIAAA7t29fwcfXvx48t8DBACQXv169u3dv4cfn32AAADs38efX/9+/v39AwQgUGCAAAAOIkyocCHDhg4fKgwQAADFihYvYsyocSPHiwECAAgpciTJkiZPokxJMkAAAC5fwowpcybNmjZjBv8IAGAnz54+fwINKnSozwABACBNqnQp06ZOn0JdGiAAgKpWr2LNqnUr165YAwQAIHYs2bJmz6JNq7ZsgAAA3sKNK3cu3bp278oNEAAA375+/wIOLHgw4b8BAgBIrHgx48aOH0OOzDhAAACWL2POrHkz586eMwcIAGA06dKmT6NOrXq16QABAMCOLXs27dq2b+OeHSAAgN6+fwMPLnw48eLAAwQAoHw58+bOn0OPLr15gAAArmPPrn079+7ev2sPEAAA+fLmz6NPr349+/MBAgCIL38+/fr27+PPTz9AAAD+AQIQOJBgQYMHESZUKDBAAAAPIUaUOJFiRYsXJQYIAID/Y0ePH0GGFDmS5McAAQCkVLmSZUuXL2HGZBkgAACbN3Hm1LmTZ0+fOQMEADCUaFGjR5EmVbrUaIAAAKBGlTqValWrV7FODRAAQFevX8GGFTuWbFmwAQIAULuWbVu3b+HGlds2QAAAd/Hm1buXb1+/f/UGCACAcGHDhxEnVryY8eEAAQBEljyZcmXLlzFnphwgAADPn0GHFj2adGnToQMEALCadWvXr2HHlj3bdYAAAHDn1r2bd2/fv4HvDhAAQHHjx5EnV76ceXPkAQIAkD6denXr17Fn1149QAAA38GHFz+efHnz58UHCACAfXv37+HHlz+f/vsAAQDk17+ff3///wABCBxIsKDBgwQDBADAsKHDhxAjSpxI8WGAAAAyatzIsaPHjyBDcgwQAIDJkyhTqlzJsqXLlAECAJhJs6bNmzhz6txpM0AAAECDCh1KtKjRo0iHBggAoKnTp1CjSp1KtSrUAAEAaN3KtavXr2DDiu0aIACAs2jTql3Ltq3bt2oDBABAt67du3jz6t3L926AAAACCx5MuLDhw4gTEw4QAIDjx5AjS55MubLlyAECANjMubPnz6BDix7tOUAAAKhTq17NurXr17BXBwgAoLbt27hz697NuzfuAAEACB9OvLjx48iTKy8eIACA59CjS59Ovbr169IDBADAvbv37+DDi/8fT/57gAAA0qtfz769+/fw47MPEACA/fv48+vfz7+/f4AABAoMEADAQYQJFS5k2NDhQ4UBAgCgWNHiRYwZNW7keDFAAAAhRY4kWdLkSZQpSQYIAMDlS5gxZc6kWdNmzAABAOzk2dPnT6BBhQ71GSAAAKRJlS5l2tTpU6hLAwQAUNXqVaxZtW7l2hVrgAAAxI4lW9bsWbRp1ZYNEADAW7hx5c6lW9fuXbkBAgDg29fvX8CBBQ8m/DdAAACJFS9m3NjxY8iRGQcIAMDyZcyZNW/m3Nlz5gABAIwmXdr0adSpVa82HSAAANixZc+mXdv2bdyzAwQA0Nv3b+DBhQ8nXhz/eIAAAJQvZ97c+XPo0aU3DxAAwHXs2bVv597d+3ftAQIAIF/e/Hn06dWvZ38+QAAA8eXPp1/f/n38+ekHCADAP0AAAgcSLGjwIMKECgUGCADgIcSIEidSrGjxosQAAQBw7OjxI8iQIkeS/BggAICUKleybOnyJcyYLAMEAGDzJs6cOnfy7OkzZ4AAAIYSLWr0KNKkSpcaDRAAANSoUqdSrWr1KtapAQIA6Or1K9iwYseSLQs2QAAAateybev2Ldy4ctsGCADgLt68evfy7ev3r94AAQAQLmz4MOLEihczPhwgAIDIkidTrmz5MubMlAMEAOD5M+jQokeTLm06dIAA/wBWs27t+jXs2LJnuw4QAADu3Lp38+7t+zfw3QECAChu/Djy5MqXM2+OPEAAANKnU69u/Tr27NqrBwgA4Dv48OLHky9v/rz4AAEAsG/v/j38+PLn038fIACA/Pr38+/vHyAAgQMJFjR4kGCAAAAYNnT4EGJEiRMpPgwQAEBGjRs5dvT4EWRIjgECADB5EmVKlStZtnSZMkAAADNp1rR5E2dOnTttBggAAGhQoUOJFjV6FOnQAAEANHX6FGpUqVOpVoUaIAAArVu5dvX6FWxYsV0DBABwFm1atWvZtnX7Vm2AAADo1rV7F29evXv53g0QAEBgwYMJFzZ8GHFiwgECAP9w/BhyZMmTKVe2HDlAAACbOXf2/Bl0aNGjPQcIAAB1atWrWbd2/Rr26gABANS2fRt3bt27effGHSAAAOHDiRc3fhx5cuXFAwQA8Bx6dOnTqVe3fl16gAAAuHf3/h18ePHjyX8PEABAevXr2bd3/x5+fPYBAgCwfx9/fv37+ff3DxCAQIEBAgA4iDChwoUMGzp8qDBAAAAUK1q8iDGjxo0cLwYIACCkyJEkS5o8iTIlyQABALh8CTOmzJk0a9qMGSAAgJ08e/r8CTSo0KE+AwQAgDSp0qVMmzp9CnVpgAAAqlq9ijWr1q1cu2INEACA2LFky5o9izat2rIBAgB4Czcjrty5dOvavSs3gN69fPv6/Qs4sODBhAsbPow4seLFjBsrDggAOw==\"><title>Layer: lstm (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = LSTM</title></image><text x=\"280.0\" y=\"132.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >lstm</text><line x1=\"175.0\" y1=\"184\" x2=\"175.0\" y2=\"157\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to lstm\n lstm/kernel:0 has shape (1, 16)\n lstm/recurrent_kernel:0 has shape (4, 16)\n lstm/bias:0 has shape (16,)</title></line><rect x=\"149.0\" y=\"184\" width=\"52\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-LSTM-569732_input_12\" class=\"picture-dashboard-LSTM-569732_input\" x=\"150.0\" y=\"185\" height=\"50\" width=\"50\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhPgA+AIcAAAICAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAPgA+AEAIZgABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVqxADAgA7\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (1,)\n Keras class = Input\n batch_shape = (1, 1, 1)</title></image><text x=\"205.0\" y=\"212.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"start\" fill=\"black\" alignment-baseline=\"central\" >input</text><text x=\"175.0\" y=\"12.5\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\" >LSTM</text></svg></g></svg></p>"
      }
     },
     "e46cec5176ee4bafaed5debf6b3642ef": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e4c8454622a346a58cb9498fd31a080d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e4fe5886fdf14fb580d5dc4b24179aed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate network",
       "disabled": false,
       "layout": "IPY_MODEL_a8e71459fbc54fea81e46753100ad865",
       "style": "IPY_MODEL_08f92fa2f23943258bbae40ea16e7a5e",
       "value": false
      }
     },
     "e53b295523544ba0af820893487d7e6a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e5e1d2af727b4050bf7c1e5089d5936b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "e5edc87a60f540ea81e2f7867c75eaad": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_6513038ae8224157bf681ec980f4c697"
       ],
       "layout": "IPY_MODEL_c23213bbb1204fc49a805e4a4059ab8e",
       "selected_index": null
      }
     },
     "e63fc2f009fa4fe59efa0f6e440ff252": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "e6517f45add94de0af3a4333b80de6dd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e703af507b47477fad3a2e193bfe9c58": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_395e12fd6b4f4d8c9b718dd2c7764f6e",
        "IPY_MODEL_2ce2ba111b0944198574b9ba3207fa04",
        "IPY_MODEL_32cd8a6d4b7641778769802ffed5da75",
        "IPY_MODEL_4082ec4f65084aab89fa528412cbb8ed"
       ],
       "layout": "IPY_MODEL_61c7c37a77df48b8b0f247aae7bda738"
      }
     },
     "e71a752cb22144d682bbe01ffcd5e518": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_397adecf00724a10aa4896709d1fe8e3",
       "style": "IPY_MODEL_d64937e9fed0417ba252be0cc956616a"
      }
     },
     "e740844e491145e1bb8bb2a653731bf3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "save",
       "layout": "IPY_MODEL_9e52c1c90e2142a2b3cfc6200d8d77b0",
       "style": "IPY_MODEL_124ca2413adc413b9b27c3c93f842c91"
      }
     },
     "e745b5b308f242da9f50cd80e49695ae": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_7ade35e2ec2149eba849d2895e3589e1",
       "style": "IPY_MODEL_65d20a0fbf924e299fe559f0e631f36f",
       "value": false
      }
     },
     "e76787dbfd8640d3b1a2e2b986ee4485": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "e7a0f87fc753463a9c3752913080ee13": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_2ed4db865b144c95bbe535c79a2c66a7",
        "IPY_MODEL_08763b3c9dde4557881a7bc06ca3fdd2",
        "IPY_MODEL_cd299de042df43b59fd351cd923374db",
        "IPY_MODEL_060a123159104d6eb39feeed6048df73",
        "IPY_MODEL_65de1384be2a43a8b29862cead90df7a",
        "IPY_MODEL_8dbe10da9c40414fa287327d0947a36d",
        "IPY_MODEL_42c3453d36a940c4b1a8e998568eb731",
        "IPY_MODEL_48da9a96a24b48c2b494fba83768290e"
       ],
       "layout": "IPY_MODEL_a92d9e75b68f4283b11fc19c2c37c830"
      }
     },
     "e8425c3392444f0d8d467993da4067a7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "e843597e1f5e411fb05ee77fd7eaa6b0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "save",
       "layout": "IPY_MODEL_438d4bf789a7466b9027728a639558e6",
       "style": "IPY_MODEL_d32d1460c1f34fe3881d007ef76a89d8"
      }
     },
     "e84d647475b7490e940db14e4c57f4c7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "e8b9197288e44824bf5463a094b84602": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_9b32ad5ecb134c7f8a0607fd5f8be835",
       "rows": 1,
       "style": "IPY_MODEL_bf832d83b93c42a59bf896977ba0de04"
      }
     },
     "e8cfa286e5d946fc9f31e3ac4d256782": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "e93d7523fc804381a250f912095cee4c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_2598ce457a71499a88c9197ace44ae1e",
       "style": "IPY_MODEL_962a92ea43fd44528175bbcf2b79c192"
      }
     },
     "e9cc72f4cdb14bd58226662af34a77d0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "e9d8edf37c7b475aa924e5763f56b695": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_77f231c99da7495f97b04c597dc6c933",
        "IPY_MODEL_b25a446ab43445f8a5cfa4e67c29538c",
        "IPY_MODEL_3e65213d1c94441c9614db772ebfad28",
        "IPY_MODEL_8ed0dac9aa0d4a72b25f1c0202c95d00",
        "IPY_MODEL_24cdcac36b5842e2aaa3d4e49dc8c798",
        "IPY_MODEL_ea4d8dbe95fc47ca9fe0f8b94f357b3d",
        "IPY_MODEL_39fd53624ee944f58f77ca30d7ee42ce"
       ],
       "layout": "IPY_MODEL_f4641c92b2f84a7fb96a1a1f5a2dc6c4"
      }
     },
     "e9fddce67b024ae1a66148a93159ceb1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "ea3db61e2b164747a2172a8f12d7eadd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "ea48d8881013422b8d2c4d507f711952": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "ea4d8dbe95fc47ca9fe0f8b94f357b3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_6cc9eb8f9895472da7d1ae894bf164ac",
       "style": "IPY_MODEL_19dd0c0b87da45f7b8ae92a1095c8f14"
      }
     },
     "ea83190f6129414185da33da3c711dc8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_b1261f0ede6e42edb47e1151569ae5be",
       "style": "IPY_MODEL_1a235998e0b2470d9c9b6d377a79d396",
       "value": false
      }
     },
     "ea953bb3cdff480ba318df4fe301e6a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_55134d0052f94c3f96ccb80e5e1ba50c",
       "step": null,
       "style": "IPY_MODEL_412b0f631d1842d9a3f8fa2c81273c33",
       "value": -2
      }
     },
     "ea9846b50e6d402cad5427d8e4fbebe1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "eac14f44353b47bda4c36fa7bb738cd7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Zoom",
       "layout": "IPY_MODEL_d95fc2001bc94c79817ca55598bbd8cf",
       "max": 3,
       "min": 0.5,
       "step": 0.1,
       "style": "IPY_MODEL_38e5cc832e244dcc843ad18fa4e0fa9a",
       "value": 1
      }
     },
     "eb400f2e46894ce19a1aac490d7a8f0e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "AccordionModel",
      "state": {
       "_titles": {
        "0": "LSTM"
       },
       "children": [
        "IPY_MODEL_d97b9e7de96d4909a0e2ee3b2cf69065"
       ],
       "layout": "IPY_MODEL_0476546ce8314c5890b8c6d4a795936f",
       "selected_index": null
      }
     },
     "eba82f48781242e09946c40d273c8bbe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "ebed83776ffc408ba66af8951277ba52": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_f85ea565337c454bb18e9857eaebf55a",
        "IPY_MODEL_45bbe9df99ce4769b828d1e9f9f733ca"
       ],
       "layout": "IPY_MODEL_9b7255ecb05940e2b633f2b36fa55ce5"
      }
     },
     "ec383c33ef8744fbbe1942a25db84a61": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "ec4806d5354f4f73b73584cd8539ced1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
       "layout": "IPY_MODEL_dadbf5297d304c58bccdd9387ca1caa6",
       "style": "IPY_MODEL_1e9d94d6d63043a59880c6303051f937",
       "value": "<img src=\"data:image/gif;base64,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\"/>"
      }
     },
     "ec6ff115aa1349b5b87faf8a5c9b4de4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ec9127802d594046b43b0aa157336c68": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "ec964f8e51f449a1a34f8acb430918ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_2907eb29a1594a8090bb8778717015c8",
        "IPY_MODEL_b775989eafa9469b88c192ec8c0e7941",
        "IPY_MODEL_c7e3a33c5c794488881f1ac59a79b1ed",
        "IPY_MODEL_fe1a8cce1fa74903a9ae2adf5fba5a9c",
        "IPY_MODEL_277225ceec4e4b14a8f1637c93a5df3d",
        "IPY_MODEL_5d6fdd2de6e44e0283a5226534209ff3",
        "IPY_MODEL_be29b23866884eeeb7dc521dc7fe6739"
       ],
       "layout": "IPY_MODEL_1ed7993fbe684856b5404d59c0b4871d"
      }
     },
     "ecad2620eb7e41b09062e0ae55a2d0f4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_930e14d0a035467a8c07f3f750752609",
       "step": null,
       "style": "IPY_MODEL_5d41ab0a75af465ebc34c6cf0e3c9acb",
       "value": 2
      }
     },
     "ecb21d9e71064f389a176da2e8cd0736": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "ecdc965053da41098a2b3bc24eae0dc7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "ece4d3fc84c248d88f3d6fb6f4fe72a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "ed125d65873646b090e1fc67fda4f597": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ed14fb14dd054f75af93595083a6018e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "ed28136630994e728be4027a18a21569": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_0a5fc4e1f23a43d4a237ecdcdfa381c9",
       "step": 1,
       "style": "IPY_MODEL_6006bcb14b464473aa7770f6e79a1e02"
      }
     },
     "ed56dfcd808b4bf1aa0aab0618561896": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_8f2a7da5deed47a4b77ecda483605f12",
       "style": "IPY_MODEL_7d78e65b139d4c718b3988baccaf6412",
       "value": "of 96"
      }
     },
     "ed5d95dafbdb40689717bc3ea4a0ef86": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_8b3d2e1a6d654912b83175a3a27fb3b4",
        "IPY_MODEL_de9f0462ea96418a86b52228c556b486"
       ],
       "layout": "IPY_MODEL_02559c7d4a574a3d9595737b5ffe4dce"
      }
     },
     "ed6a58d374224fcbbd6370b4dcb975e4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_7369d854c0d74735bbfa8ef439461d1b",
        "IPY_MODEL_23db7d5335434d499e367683994907af",
        "IPY_MODEL_d5d17a3efdbb46c0bf472dd4099c0f21",
        "IPY_MODEL_afddf5a75d254fec8945dddd9b1bcb4c",
        "IPY_MODEL_3e20048e474f41a7bc5e9c6b8a8d32cd",
        "IPY_MODEL_0d24f36f34594417ac011952f099c26e",
        "IPY_MODEL_6269f0f7da8b4dd6a5e6faf63a474d93"
       ],
       "layout": "IPY_MODEL_f7ae21b1f25a48eba686a197e8c35dfc"
      }
     },
     "ed73f2b7ba06412d808fd294c4071119": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_9c1342f4c5194418a3a418ff7e7666a6",
        "IPY_MODEL_b503bd76f50b49bfbf7f7c511c0eb71c",
        "IPY_MODEL_b0639b5f37ef4b6caa6adb9cdca4d5cd",
        "IPY_MODEL_db6ebaf9c73a484ab9f079dc7f78898e"
       ],
       "layout": "IPY_MODEL_dd815f2150fd4f11b6e11bad36fe562c"
      }
     },
     "ed890941e3a34c7cb2a42edf43cacb53": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate",
       "disabled": false,
       "layout": "IPY_MODEL_5aec269d533f462a9f6318e0c0d5b0fc",
       "style": "IPY_MODEL_d35f70a50b9d411f9caf825eb477aa9f",
       "value": true
      }
     },
     "edcd2b8a9bab4e55b0b3c66cf1093ace": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "edd4d8e4db3343ddbd91ca885cb38c02": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_5e4d386ae2d6476aa3ba019ca875a7d9",
        "IPY_MODEL_b4c4bd0e1a2143a08c3ecae6327162b7",
        "IPY_MODEL_461d06fbafe74a6cbd5f549288e162f1",
        "IPY_MODEL_9dd249207c77401da7c522ecd5281002"
       ],
       "layout": "IPY_MODEL_52a92f4b11b5420998ad0b563946f25d"
      }
     },
     "edd656dbf7f944fb97d7bedf25507563": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
       "disabled": false,
       "layout": "IPY_MODEL_7ade35e2ec2149eba849d2895e3589e1",
       "style": "IPY_MODEL_fe4247536b674692ad4b1b7c0b4e8983",
       "value": false
      }
     },
     "eddf307594ad4c09baf3db837b9cdd98": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_1976fa387b9e4c219dd77f887dd4a156",
       "max": 141,
       "style": "IPY_MODEL_949d107c01a04f1e83ef99ee0f0f79e0",
       "value": 41
      }
     },
     "edf926050e1b48da8a85faa5dc4c9794": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "edfdb9c2f70b4fadb6170d744ccb4fee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_732ad60c2f1347cbba29674f44168a58",
       "style": "IPY_MODEL_46034f5ed78d4af2873bdee69c3ba27c"
      }
     },
     "ee092f116ccd49e6a5bdf55b0eb71bd6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "ee290f69e1eb41f09b93f87d0e14316f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "52%"
      }
     },
     "ee7e99e84df044918448fa6af889c146": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_a7ddff7f8b3c4518ba65040e2003c8ff",
       "style": "IPY_MODEL_dc5714e777df42ffb13860e6a9f70042"
      }
     },
     "eed97826af1d426f8603417608a32318": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "eef523a9ecb541bc9e4aa57a48020825": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ef18b821cb8b4bcbad9f386ff6f52faa": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "ef5390d32c414d28b501b8bb6a745c7f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ef73860048184ecc936994573c6e1e9f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "efb55ca43f714db787cefc0612aa57f0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-forward",
       "layout": "IPY_MODEL_377e295157e840479ba059c7ecbffcce",
       "style": "IPY_MODEL_b74c89ba17a44f9bb0dc590dcb92d832"
      }
     },
     "efb7d3bafd67436693a17833eed1915e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_eef523a9ecb541bc9e4aa57a48020825",
       "step": 1,
       "style": "IPY_MODEL_54f8e13c768b4b18b02457ea98c90ce1",
       "value": 3
      }
     },
     "eff6aa9d270544a3a858ec74c7498a68": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "f0205df41fa347b6b9860451cc83e749": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f0536ab169cd408a9e5a5ba16b55b947": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_51b0e3f8dfd54130a166e167def222ed",
       "step": null,
       "style": "IPY_MODEL_c05ec7d0c2dd47469c91b88339fb07a7",
       "value": 1
      }
     },
     "f0c4d66977654514abd8cd52491529fe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f0cdf5b4db664f179a2127a077c94aff": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f0d43f76890849678d65b0ef5bf5a3b7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "f0f3603bffb842f0b32690077d8b2e70": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Horizontal space between banks:",
       "layout": "IPY_MODEL_ba9ccfb6c48b40c0bbf84a0d3079b55c",
       "step": 1,
       "style": "IPY_MODEL_3ccf206f23f247368a0abde3d7e57ce5",
       "value": 150
      }
     },
     "f1155f03593e444eaac23fb8c7a3d89b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_0e77c5608f7a47878ace6b6f016111ab",
       "max": 141,
       "style": "IPY_MODEL_e2cbeaf8af9d45e3a3232c999be109b7"
      }
     },
     "f168dec0b0c343e9ae68ee7cb4e80c8a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_11e37a2519504f68bc8d5139f005705a",
       "style": "IPY_MODEL_c86308aacd5f4228a93fbaf76aa4bed9"
      }
     },
     "f18fd6cfa6694dd3b4ba9725431224a5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "",
        "Accent",
        "Accent_r",
        "Blues",
        "Blues_r",
        "BrBG",
        "BrBG_r",
        "BuGn",
        "BuGn_r",
        "BuPu",
        "BuPu_r",
        "CMRmap",
        "CMRmap_r",
        "Dark2",
        "Dark2_r",
        "GnBu",
        "GnBu_r",
        "Greens",
        "Greens_r",
        "Greys",
        "Greys_r",
        "OrRd",
        "OrRd_r",
        "Oranges",
        "Oranges_r",
        "PRGn",
        "PRGn_r",
        "Paired",
        "Paired_r",
        "Pastel1",
        "Pastel1_r",
        "Pastel2",
        "Pastel2_r",
        "PiYG",
        "PiYG_r",
        "PuBu",
        "PuBuGn",
        "PuBuGn_r",
        "PuBu_r",
        "PuOr",
        "PuOr_r",
        "PuRd",
        "PuRd_r",
        "Purples",
        "Purples_r",
        "RdBu",
        "RdBu_r",
        "RdGy",
        "RdGy_r",
        "RdPu",
        "RdPu_r",
        "RdYlBu",
        "RdYlBu_r",
        "RdYlGn",
        "RdYlGn_r",
        "Reds",
        "Reds_r",
        "Set1",
        "Set1_r",
        "Set2",
        "Set2_r",
        "Set3",
        "Set3_r",
        "Spectral",
        "Spectral_r",
        "Vega10",
        "Vega10_r",
        "Vega20",
        "Vega20_r",
        "Vega20b",
        "Vega20b_r",
        "Vega20c",
        "Vega20c_r",
        "Wistia",
        "Wistia_r",
        "YlGn",
        "YlGnBu",
        "YlGnBu_r",
        "YlGn_r",
        "YlOrBr",
        "YlOrBr_r",
        "YlOrRd",
        "YlOrRd_r",
        "afmhot",
        "afmhot_r",
        "autumn",
        "autumn_r",
        "binary",
        "binary_r",
        "bone",
        "bone_r",
        "brg",
        "brg_r",
        "bwr",
        "bwr_r",
        "cool",
        "cool_r",
        "coolwarm",
        "coolwarm_r",
        "copper",
        "copper_r",
        "cubehelix",
        "cubehelix_r",
        "flag",
        "flag_r",
        "gist_earth",
        "gist_earth_r",
        "gist_gray",
        "gist_gray_r",
        "gist_heat",
        "gist_heat_r",
        "gist_ncar",
        "gist_ncar_r",
        "gist_rainbow",
        "gist_rainbow_r",
        "gist_stern",
        "gist_stern_r",
        "gist_yarg",
        "gist_yarg_r",
        "gnuplot",
        "gnuplot2",
        "gnuplot2_r",
        "gnuplot_r",
        "gray",
        "gray_r",
        "hot",
        "hot_r",
        "hsv",
        "hsv_r",
        "inferno",
        "inferno_r",
        "jet",
        "jet_r",
        "magma",
        "magma_r",
        "nipy_spectral",
        "nipy_spectral_r",
        "ocean",
        "ocean_r",
        "pink",
        "pink_r",
        "plasma",
        "plasma_r",
        "prism",
        "prism_r",
        "rainbow",
        "rainbow_r",
        "seismic",
        "seismic_r",
        "spectral",
        "spectral_r",
        "spring",
        "spring_r",
        "summer",
        "summer_r",
        "tab10",
        "tab10_r",
        "tab20",
        "tab20_r",
        "tab20b",
        "tab20b_r",
        "tab20c",
        "tab20c_r",
        "terrain",
        "terrain_r",
        "viridis",
        "viridis_r",
        "winter",
        "winter_r"
       ],
       "description": "Colormap:",
       "index": 0,
       "layout": "IPY_MODEL_5aec269d533f462a9f6318e0c0d5b0fc",
       "rows": 1,
       "style": "IPY_MODEL_4f547d52d7b941d2a7745f3f0d782bcc"
      }
     },
     "f1a1315264a2431a92c82bcb21853d58": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "f1cf6d9fceec4d2881f306abbc5b2d83": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "f1d8f535ec84416396b4e85da1616884": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "f25804fb03cd453db781d368e85ca441": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "f27c19a19c5e4a64a9deaf6123016087": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_aa2dd2df6d344249aac940367e43d887",
        "IPY_MODEL_4b06cb00e3a446b88a3d3d2272a199d4"
       ],
       "layout": "IPY_MODEL_d4d4ce0a0b3147dfae82f00c32c07af9"
      }
     },
     "f27d228cc64045df8f57ac9565482a72": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "f2e52525bdd54a5e8432b119b3f61869": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_b7272fd1a4dd4ed0be3fd4eead2d6135",
        "IPY_MODEL_0e2155ad2b6c433e8349210e1eced6e7"
       ],
       "layout": "IPY_MODEL_e365abbfe4fa4e0790b983097515abeb"
      }
     },
     "f30ee15fd0fe4cf5913affefa689f1f5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "f36d6ba2390c4a11a7409c6e2be75d14": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "f3725ac03da44e188660c240606d6b9a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f39b67de1cb9431187537788a575e0c4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_a2e9594c538e4ac89b7be6690832098b",
       "style": "IPY_MODEL_6cc2544da45c443cac643f9244534728",
       "value": false
      }
     },
     "f3c8862fb16b4458baa46fddb0c0d21b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "65%"
      }
     },
     "f3dcc62ec4b448d0bcaa343eb08430dc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f3e3f53cdbdb4326ae8dd9b02b4e6b64": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f3eadf0612b44dd49420da690bb97352": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "f3f0a4d37be4462395066fdf43cc9ac6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        ""
       ],
       "description": "Features:",
       "index": 0,
       "layout": "IPY_MODEL_78481018962d4aff863727fa809f3f72",
       "rows": 1,
       "style": "IPY_MODEL_d3a1fb57ed8a45109b8a2d6db9a4941f"
      }
     },
     "f42bcb76dde94b749e73bf90248dfef8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "f4641c92b2f84a7fb96a1a1f5a2dc6c4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "50px",
       "width": "100%"
      }
     },
     "f48d75583ef24236bb0f1ba14158205e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "f5117154d2e540f583fc0ab5123343cb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "justify_content": "center",
       "overflow_x": "auto",
       "overflow_y": "auto",
       "width": "95%"
      }
     },
     "f564b4cf8cc14c65849a154e6b6d8ceb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Rightmost color maps to:",
       "layout": "IPY_MODEL_c099c98570e944c0bbd0b45d950e4887",
       "step": null,
       "style": "IPY_MODEL_a1ab7c6febfa47ccbee2cfde36fe9902",
       "value": 2
      }
     },
     "f574cc314eb14b6aafb41781f2d2ab66": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "refresh",
       "layout": "IPY_MODEL_74ea59f276ae40ed97228b37b4eba69c",
       "style": "IPY_MODEL_415c437edef144a8bcae314e6c034d5f"
      }
     },
     "f59a7eb55351417c910ae2d3dde07b5e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "Test",
        "Train"
       ],
       "description": "Dataset:",
       "index": 1,
       "layout": "IPY_MODEL_5cdf4486984e408ab2be0d97c2f1a902",
       "rows": 1,
       "style": "IPY_MODEL_b690173061944596a2c2c810ece0e1b1"
      }
     },
     "f5fc9df0e06e4e15ac0c2e56b2750aa1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "f63b7dacf66d4a1fb08dd2e35c9e386a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f64a7d6572964ac1b17ab9fabce65cb5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "52%"
      }
     },
     "f67afb099b2648d0afcfc1ec481ab17f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_0148cac766f14a57ad0447e4a7f847ce",
        "IPY_MODEL_759294a861e34f12b44be5fae699bb3b",
        "IPY_MODEL_8e33fa22464d41769ab26aef06fa5a6e",
        "IPY_MODEL_f8839951c41348998d647e9e4c1cb91c"
       ],
       "layout": "IPY_MODEL_b7951f2cc2044dea8b19dae9836340ad"
      }
     },
     "f6a04af9eb934eb5a1bcbf671ed0a9d7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature to show:",
       "layout": "IPY_MODEL_576ee8752a0141ca9953172ecdf089e3",
       "step": 1,
       "style": "IPY_MODEL_589f25e142b14f77a56694f7c8f34c52"
      }
     },
     "f6aa6a4ede53468b96b557afedba625b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "f6de3df21d5f4cbdad5603645ef5d2b8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "f6f04280919a4867b1507519b976373b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "f7605902eeb54f88aa1cecbb7320d04b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "25%"
      }
     },
     "f7ae21b1f25a48eba686a197e8c35dfc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "f824fc0f10da497d802b29b09eeaa51e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f85ea565337c454bb18e9857eaebf55a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Rotate network",
       "disabled": false,
       "layout": "IPY_MODEL_ee290f69e1eb41f09b93f87d0e14316f",
       "style": "IPY_MODEL_b36f056b97fb481bb1f49413e459240c",
       "value": false
      }
     },
     "f8839951c41348998d647e9e4c1cb91c": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.1.0",
      "model_name": "OutputModel",
      "state": {
       "_model_module_version": "1.1.0",
       "_view_module_version": "1.1.0",
       "layout": "IPY_MODEL_9c410d5441bc409f89c8dc06a3556d4f"
      }
     },
     "f89b1ec9e2814a55a3a933f354d88906": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f94740aa23c347848f2d951f8084fc8a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "f9ba492079a94ab69dd088df4242a905": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f9dc7b7a29f84588bdbd5dcb25d6135e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_459d614bbb1d4f94a3dec7527361d6d9",
        "IPY_MODEL_26d649d9adc24ecdba45ad3b80f8e463",
        "IPY_MODEL_9af2ac41f59b4ed78863f5a57ffca302",
        "IPY_MODEL_e348776ccc4a472fa3f32a4a57b05a33"
       ],
       "layout": "IPY_MODEL_90e7c985349448f588c9365edda825e8"
      }
     },
     "fa05c129687848219579c99909adffe2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Vertical space between layers:",
       "layout": "IPY_MODEL_073897883d7b4a2c9a53986e281e8975",
       "step": 1,
       "style": "IPY_MODEL_fc5d9e3123ce420baf08aa304eb75ba5",
       "value": 30
      }
     },
     "fa62a27b0c4847f5ad823720f39ee05d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "fa7b2925fccc49cb873bf8051efa91dc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "fa907303a83e4819a198db45dbfaa0e0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_248f858b297e497296cfd3c83719d34f",
        "IPY_MODEL_590df3ceb4934705a57a4df3e61630ce"
       ],
       "layout": "IPY_MODEL_503ec2a3cfa84ee6b50b8176c536a960"
      }
     },
     "faa2cb2e486b46c2a54800786153cde1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "fabe789918ce4c39ad55708b203e82d4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_6324fb29a81745a2a0470785e29043d5",
       "style": "IPY_MODEL_1c628c047d7447ab98ef8d17a28dc21c",
       "value": false
      }
     },
     "fac0743ad0404fd29c7cb655646acdf0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Leftmost color maps to:",
       "layout": "IPY_MODEL_ada7b974f2224546a2b12cb3f7550cdf",
       "step": null,
       "style": "IPY_MODEL_de7a441e08854f668ed3b6f051021808",
       "value": -1
      }
     },
     "facf0f3b3d0a42228fede1880537c7a2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "faeab75134e0413e8230b11bdabe40b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_a536ceb873b9489faae55ec2823ad0a8",
       "style": "IPY_MODEL_b63033ae43464ce99d4a24a0ac576ebc"
      }
     },
     "fb26d810a24f4dff88d2d2aab877ae79": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "fb746ff48a5d40d1b688a0f695109e80": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "LabelModel",
      "state": {
       "layout": "IPY_MODEL_95dd0b11ed154009a20d26dcbe10f8df",
       "style": "IPY_MODEL_9fe3a1648f834a6a980fdba627d5ab12",
       "value": "of 94"
      }
     },
     "fb9f8b70d4514857a42bba1af6497b3e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "description": "Feature columns:",
       "layout": "IPY_MODEL_777ab4bfd0e047339385ad2712943a44",
       "step": 1,
       "style": "IPY_MODEL_ef73860048184ecc936994573c6e1e9f",
       "value": 3
      }
     },
     "fbc22fc17ce24ad6b7dbccbb361d6b8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "lstm",
        "output"
       ],
       "description": "Layer:",
       "index": 2,
       "layout": "IPY_MODEL_eed97826af1d426f8603417608a32318",
       "rows": 1,
       "style": "IPY_MODEL_a6fa52586ef54157b36f9b9faec78210"
      }
     },
     "fbe4c1283eca439ca801185ecc7f0467": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Errors",
       "disabled": false,
       "layout": "IPY_MODEL_4c0e270278344701914bb8a130c05e10",
       "style": "IPY_MODEL_18ab2da8ad894630b6b57165b9bdef47",
       "value": false
      }
     },
     "fc2778c9c14c4a22984e7f1f9a76a2a1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "fc475b2a1194488dbb049702bffb8375": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "fc5d9e3123ce420baf08aa304eb75ba5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "fc995a3fa729415390122a92a098e7b3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "fcf84ba9a50c4ab5b23eae5a40beb70f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_96f01604b3814bd483fc13cad351b218",
       "style": "IPY_MODEL_be5e66f5a14d48069c997a7f25a38b5b"
      }
     },
     "fdf00c8f7a414d3fbc9619134567027e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "fe0fbea9302e45d9b03589be9dcfe1cf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_369e6a22eb2c454da1c5c717bd24da8c",
       "style": "IPY_MODEL_260feb4a8aa14e9db742287b312234f7"
      }
     },
     "fe1a8cce1fa74903a9ae2adf5fba5a9c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "forward",
       "layout": "IPY_MODEL_bd7a408b403d419fb3f35809dbcfc9e2",
       "style": "IPY_MODEL_46e9e151966240028a69c0631fd5adca"
      }
     },
     "fe3e82d587b74651ac96ddef20f79ce1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "fe3ee25d07904c65aff2a0f6d38716d5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "fe4247536b674692ad4b1b7c0b4e8983": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "fe78ca49ca63440f9a07daca3c6e4f4d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "feb6d6db47714e299dcb5893b9d1a070": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ff27c625e29e4b13a8ea58182bab3821": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "ff28ad16a56843b3a826a04056530b89": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ff35603f819d488f8aa296b62bb1bb9a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ff42a3ba20ef4180a9c724f714079b33": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "ff61ee6b0c514eb39d263d198f6e5346": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "save",
       "layout": "IPY_MODEL_aced68d2a8df49a3b1f699216dd9e085",
       "style": "IPY_MODEL_dae1595f59da4f89b754be26515649f1"
      }
     },
     "fffb5f0a2e7c4507b03ac1f3c52561ca": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_cbdf170f854e45b3bb4bd267e66dfa38",
        "IPY_MODEL_ed56dfcd808b4bf1aa0aab0618561896"
       ],
       "layout": "IPY_MODEL_3899cf6d5cf84cffb296b76ca8c83f29"
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}