{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MNIST Visualizations\n",
    "\n",
    "In this notebook, we continue with the MNIST analysis after our [initial exploration](MNIST.ipynb).\n",
    "\n",
    "Let's again begin by reading in the MNIST dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "ConX, version 3.6.5\n"
     ]
    }
   ],
   "source": [
    "import conx as cx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "**Dataset**: MNIST\n",
       "\n",
       "\n",
       "Original source: http://yann.lecun.com/exdb/mnist/\n",
       "\n",
       "The MNIST dataset contains 70,000 images of handwritten digits (zero\n",
       "to nine) that have been size-normalized and centered in a square grid\n",
       "of pixels.  Each image is a 28 × 28 × 1 array of floating-point numbers\n",
       "representing grayscale intensities ranging from 0 (black) to 1\n",
       "(white).  The target data consists of one-hot binary vectors of size\n",
       "10, corresponding to the digit classification categories zero through\n",
       "nine.  Some example MNIST images are shown below:\n",
       "\n",
       "![MNIST Images](https://github.com/Calysto/conx/raw/master/data/mnist_images.png)\n",
       "\n",
       "**Information**:\n",
       "   * name    : MNIST\n",
       "   * length  : 70000\n",
       "\n",
       "**Input Summary**:\n",
       "   * shape  : (28, 28, 1)\n",
       "   * range  : (0.0, 1.0)\n",
       "\n",
       "**Target Summary**:\n",
       "   * shape  : (10,)\n",
       "   * range  : (0.0, 1.0)\n",
       "\n"
      ],
      "text/plain": [
       "**Dataset**: MNIST\n",
       "\n",
       "\n",
       "Original source: http://yann.lecun.com/exdb/mnist/\n",
       "\n",
       "The MNIST dataset contains 70,000 images of handwritten digits (zero\n",
       "to nine) that have been size-normalized and centered in a square grid\n",
       "of pixels.  Each image is a 28 × 28 × 1 array of floating-point numbers\n",
       "representing grayscale intensities ranging from 0 (black) to 1\n",
       "(white).  The target data consists of one-hot binary vectors of size\n",
       "10, corresponding to the digit classification categories zero through\n",
       "nine.  Some example MNIST images are shown below:\n",
       "\n",
       "![MNIST Images](https://github.com/Calysto/conx/raw/master/data/mnist_images.png)\n",
       "\n",
       "**Information**:\n",
       "   * name    : MNIST\n",
       "   * length  : 70000\n",
       "\n",
       "**Input Summary**:\n",
       "   * shape  : (28, 28, 1)\n",
       "   * range  : (0.0, 1.0)\n",
       "\n",
       "**Target Summary**:\n",
       "   * shape  : (10,)\n",
       "   * range  : (0.0, 1.0)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mnist = cx.Dataset.get('mnist')\n",
    "mnist.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Convolutional Network for MNIST Classification\n",
    "\n",
    "\n",
    "Again, we build a CNN."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "cnn = cx.Network(\"MNIST_CNN_Visualize\")\n",
    "\n",
    "cnn.add(cx.Layer(\"input\", (28,28,1), colormap=\"gray\"),\n",
    "        cx.Conv2DLayer(\"conv2D_1\", 16, (5,5), activation=\"relu\", dropout=0.20),\n",
    "        cx.MaxPool2DLayer(\"maxpool1\", (2,2)),\n",
    "        cx.Conv2DLayer(\"conv2D_2\", 32, (5,5), activation=\"relu\", dropout=0.20),\n",
    "        cx.MaxPool2DLayer(\"maxpool2\", (2,2)),\n",
    "        cx.FlattenLayer(\"flat\"),\n",
    "        cx.Layer(\"hidden\", 30, activation='relu'),\n",
    "        cx.Layer(\"output\", 10, activation='softmax'))\n",
    "\n",
    "cnn.connect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "MNIST:\n",
      "Patterns    Shape                 Range                         \n",
      "=================================================================\n",
      "inputs      (28, 28, 1)           (0.0, 1.0)                    \n",
      "targets     (10,)                 (0.0, 1.0)                    \n",
      "=================================================================\n",
      "Total patterns: 70000\n",
      "   Training patterns: 60000\n",
      "   Testing patterns: 10000\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "cnn.get_dataset(\"MNIST\")\n",
    "cnn.dataset.split(10000)\n",
    "cnn.dataset.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again, we will try the RMSprop algorithm, which automatically adjusts the learning rate and momentum as training proceeds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "cnn.compile(error='categorical_crossentropy', optimizer='RMSprop')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input (InputLayer)           (None, 28, 28, 1)         0         \n",
      "_________________________________________________________________\n",
      "conv2D_1 (Conv2D)            (None, 24, 24, 16)        416       \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 24, 24, 16)        0         \n",
      "_________________________________________________________________\n",
      "maxpool1 (MaxPooling2D)      (None, 12, 12, 16)        0         \n",
      "_________________________________________________________________\n",
      "conv2D_2 (Conv2D)            (None, 8, 8, 32)          12832     \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 8, 8, 32)          0         \n",
      "_________________________________________________________________\n",
      "maxpool2 (MaxPooling2D)      (None, 4, 4, 32)          0         \n",
      "_________________________________________________________________\n",
      "flat (Flatten)               (None, 512)               0         \n",
      "_________________________________________________________________\n",
      "hidden (Dense)               (None, 30)                15390     \n",
      "_________________________________________________________________\n",
      "output (Dense)               (None, 10)                310       \n",
      "=================================================================\n",
      "Total params: 28,948\n",
      "Trainable params: 28,948\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "cnn.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"mnist-cnn.png\" width=\"80%\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "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",
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   ],
   "source": [
    "cnn.dashboard()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Training our CNN on the full dataset will take a long time, so in the interest of brevity, let's reduce the size of our dataset by 80% using the ``chop`` method, which deletes the specified fraction of data from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting with 70000 patterns\n",
      "14000 patterns left after chop\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: dataset split reset to 0\n"
     ]
    }
   ],
   "source": [
    "print('Starting with', len(cnn.dataset), 'patterns')\n",
    "cnn.dataset.chop(0.80)\n",
    "print(len(cnn.dataset), 'patterns left after chop')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then reserve 25% of the remaining data for testing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10500, 3500)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnn.dataset.split(0.25)\n",
    "cnn.dataset.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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      "========================================================\n",
      "       |  Training |  Training |  Validate |  Validate \n",
      "Epochs |     Error |  Accuracy |     Error |  Accuracy \n",
      "------ | --------- | --------- | --------- | --------- \n",
      "#   10 |   0.03064 |   0.99057 |   0.06226 |   0.97857 \n"
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    "cnn.reset()\n",
    "cnn.train(epochs=10, record=True)"
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    "## Using PCA to See Learned Clusters\n",
    "\n",
    "Once the network is trained, we can find the Principal Components of the space of representations at the hidden layer.\n",
    "\n",
    "First, we create a list of the representations of the inputs at the hidden layer. We use just the first 1,000 to speed things up."
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    "states = [cnn.propagate_to(\"hidden\", i) for i in cnn.dataset.train_inputs[:1000]]"
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    "Next, we find the Principal Components of these representations:"
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    "pca = cx.PCA(states)"
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    "We can then transform these representations into the first 2 Principal Component dimensions, scaling them between 0 and 1:"
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    "xy = pca.transform(states, scale=True)"
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    "Finally, we can plot the inputs in this transformed space to get an idea of how the network as learned to re-represent them:"
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    "cx.scatter([\"Hidden states\", xy])"
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   "source": [
    "Ok. However, that plot doesn't show how the items group together. In order to do that, we need to plot each category separately. \n",
    "\n",
    "First, we make a dictionary mapping the category to the first 100 (to speed things up and not overwhelm the scatter plot) instances of that category:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "groups = {category: cnn.dataset.inputs.select(lambda i,ds: ds.targets[i] == cx.onehot(category, 10), \n",
    "                                              slice=100,\n",
    "                                              index=True)\n",
    "          for category in range(10)}"
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   "cell_type": "markdown",
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   "source": [
    "Now we can do the same as above, but plotting each category separately:"
   ]
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  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def scatter_all(net, epoch):\n",
    "    lines = []\n",
    "    for i in range(10):\n",
    "        states = [net.propagate_to(\"hidden\", i) for i in net.dataset.train_inputs[groups[i]]]\n",
    "        xy = pca.transform(states, scale=True)\n",
    "        lines.append([str(i), xy])\n",
    "    return cx.scatter(lines, \n",
    "                      title=\"Hidden State after %s epochs\" % epoch,\n",
    "                      ymin=0, ymax=1,\n",
    "                      xmin=0, xmax=1,\n",
    "                      format=\"image\")"
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  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=432x432 at 0x7F12850CEB00>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scatter_all(cnn, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now use this function with the playback and movie methods to see the development of the clustering of the 10 categories:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "daef91c289a048eaa038e594eb84de81",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>SequenceViewer</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": [
       "SequenceViewer(children=(VBox(children=(HBox(children=(IntSlider(value=0, continuous_update=False, description='MNIST_CNN_Visualize Playback:', layout=Layout(width='100%'), max=10, style=SliderStyle(description_width='initial')), Label(value='of 11', 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())), layout=Layout(height='50px', width='100%'))), layout=Layout(width='100%')), Output()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=432x432 at 0x7F1286D1B0F0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnn.playback(scatter_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<video src='MNIST_CNN_Visualize-movie.mp4' controls></video>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnn.movie(scatter_all)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Images\n",
    "\n",
    "That is useful, but it is impossible to see how the individual inputs vary in a cluster. To see this, instead of plotting a colored dot at the PCA location, we can actually show the input as an image.\n",
    "\n",
    "First, we need a list of pictures, and their coordinates in PCA space. We use the first 1,000 to match the above:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "pics = [cx.array_to_image(v) for v in cnn.dataset.inputs[:1000]]\n",
    "states = [cnn.propagate_to(\"hidden\", i) for i in cnn.dataset.train_inputs[:1000]]\n",
    "xy = pca.transform(states, scale=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use conx's scatter_images function that takes a list of images of the inputs, and the (x,y) locations in PCA space:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=1500x1500 at 0x7F12AC30F6D8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cx.scatter_images(pics, xy, size=(1500,1500), scale=1.0)"
   ]
  },
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   "source": [
    "You may have to increase the size of the image, or vary the scale to see the clusters with minimal overlap but not too much space between points/images."
   ]
  }
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output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_output-rotated_1\" class=\"picture-dashboard-MNIST_CNN-172404_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output_4/kernel:0 has shape (30, 10)\n output_4/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_hidden-rotated_2\" class=\"picture-dashboard-MNIST_CNN-172404_hidden-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAPP4/d7r9wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIEgABCAwAoKBBgwEAKFzIsCGAgAA7\"><title>Layer: hidden (hidden)\n output range: (0.0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden/kernel:0 has shape (512, 30)\n hidden/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_flat-rotated_3\" class=\"picture-dashboard-MNIST_CNN-172404_flat-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_maxpool2-rotated_4\" class=\"picture-dashboard-MNIST_CNN-172404_maxpool2-rotated\" x=\"75.0\" y=\"325\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"427.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 427.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"310\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 310) translate(2)\" >32</text><text x=\"273.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 540) translate(2)\" >0</text><line x1=\"175.0\" y1=\"554\" x2=\"175.0\" y2=\"527\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"554\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_conv2D_2-rotated_5\" class=\"picture-dashboard-MNIST_CNN-172404_conv2D_2-rotated\" x=\"75.0\" y=\"555\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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AAGbSrGnzJk4AAQIA6OnzJ9CgQgEECADgKNKkSpcyBRAgAICoUqdSrWoVQIAAALZy7er1K1gAAQIAKGv2LNq0agEECADgLdy4cufSBRAgAIC8evfy7esXQIAAAAYTLmz4MGIAAQIAaOz4MeTIkgEECADgMubMmjdzBhAgAIDQokeTLm0aQIAA/wBWs27t+jVsAAECAKht+zbu3LoBBAgA4Dfw4MKHEwcQIACA5MqXM2/uHECAAACmU69u/Tp2AAECAOju/Tv48OIBBAgA4Dz69OrXswcQIACA+PLn069vH0CAAAD28+/vHyAAgQMJEgwQAEBChQsZNnQIIEAAABMpVrR4ESOAAAEAdPT4EWRIkQACBABwEmVKlStZAggQAEBMmTNp1rQJIEAAADt59vT5EyiAAAEAFDV6FGlSpQACBADwFGpUqVOpAggQAEBWrVu5dvUKIEAAAGPJljV7Fi2AAAEAtHX7Fm5cuQACBABwF29evXv5AggQAEBgwYMJFzYMIEAAAIsZN/92/BgygAABAFS2fBlzZs0AAgQA8Bl0aNGjSQMIEABAatWrWbd2DSBAAACzade2fRs3gAABAPT2/Rt4cOEAAgQAcBx5cuXLmQMIEABAdOnTqVe3DiBAAADbuXf3/h08gAABAJQ3fx59evUAAgQA8B5+fPnz6QMIEABAfv37+ff3DxBAgAAACho8iDChQgABAgB4CDGixIkUAQQIACCjxo0cO3oEECAAgJEkS5o8iRJAgAAAWrp8CTOmTAABAgC4iTOnzp08AQQIACCo0KFEixoFECAAgKVMmzp9ChVAgAAAqlq9ijWrVgABAgD4Cjas2LFkAQQIACCt2rVs27oFECD/AIC5dOvavYsXQIAAAPr6/Qs4sGAAAQIAOIw4seLFjAEECAAgsuTJlCtbBhAgAIDNnDt7/gwaQIAAAEqbPo06tWoAAQIAeA07tuzZtAEECAAgt+7dvHv7BhAgAIDhxIsbP44cQIDlzJs7fw49uvTp1Ktbv449u/bt3Lt75w4gvPjx5MubBxAgAID17Nu7fw8fQIAAAOrbv48/v34AAQIAAAhA4ECCBQ0eDBAAwEKGDR0+hAggQAAAFS1exJhRI4AAAQB8BBlS5EiSAAIEAJBS5UqWLV0CCBAAwEyaNW3exAkgQAAAPX3+BBpUKIAAAQAcRZpU6VKmAAIEABBV6lSq/1WtAggQAMBWrl29fgULIEAAAGXNnkWbVi2AAAEAvIUbV+5cugACBACQV+9evn39AggQAMBgwoUNH0YMIEAAAI0dP4YcWTKAAAEAXMacWfNmzgACBAAQWvRo0qVNAwgQAMBq1q1dv4YNIEAAALVt38adWzeAAAEA/AYeXPhw4gACBACQXPly5s2dAwgQXfp06tWtX8eeXft27t29fwcfXvx48uIBnEefXv169gACBAAQX/58+vXtAwgQAMB+/v39AwQgcCBBggECAEiocCHDhg4BBAgAYCLFihYvYgQQIACAjh4/ggwpEkCAAABOokypciVLAAECAIgpcybNmjYBBP8IAGAnz54+fwIFECAAgKJGjyJNqhRAgAAAnkKNKnUqVQABAgDIqnUr165eAQQIAGAs2bJmz6IFECAAgLZu38KNKxdAgAAA7uLNq3cvXwABAgAILHgw4cKGAQQIAGAx48aOH0MGECAAgMqWL2POrBlAgAAAPoMOLXo0aQABAgBIrXo169auAQQIAGA27dq2b+MGECAAgN6+fwMPLhxAgAAAjiNPrnw5cwABAgCILn069erWAQQIAGA79+7ev4MHECAAgPLmz6NPrx5AgAAA3sOPL38+fQABAgDIr38///7+AQIIEABAQYMHESZUCCBAAAAPIUaUOJEigAABAGTUuJH/Y0ePAAIEADCSZEmTJ1ECCBAAQEuXL2HGlAkgQAAAN3Hm1LmTJ4AAAQAEFTqUaFGjAAIEALCUaVOnT6ECCBAAQFWrV7Fm1QogQAAAX8GGFTuWLIAAAQCkVbuWbVu3AAIEADCXbl27d/ECCBAAQF+/fwEHFgwgQAAAhxEnVryYMYAAAQBEljyZcmXLAAIEALCZc2fPn0EDCBAAQGnTp1GnVg0gQAAAr2HHlj2bNoAAAQDk1r2bd2/fAAIEADCceHHjx5EDCBAAQHPnz6FHlw4gQAAA17Fn176dO4AAAQCEFz+efHnzAAIEALCefXv37+EDCBAAQH379/Hn1w8gQAAA/wABCBxIsKDBgwECAFjIsKHDhxABBAgAoKLFixgzagQQIACAjyBDihxJEkCAAABSqlzJsqVLAAECAJhJs6bNmzgBBAgAoKfPn0CDCgUQIACAo0iTKl3KFECAAACiSp1KtapVAAECANjKtavXr2ABBAgAoKzZs2jTqgUQIACAt3Djyp1LF0CAAADy6t3Lt69fAAECABhMuLDhw4gBBAgAoLHjx5AjSwYQIACAy5gza97MGUCAAABCix5NurRpAAECAFjNurXr17ABBAgAoLbt27hz6wYQIACA38CDCx9OHECAAACSK1/OvLlzAAECAJhOvbr169gBBAgAoLv37+DDi/8HECAAgPPo06tfzx5AgAAA4sufT7++fQABAgDYz7+/f4AABA4kSDBAAAAJFS5k2NAhgAABAEykWNHiRYwAAgQA0NHjR5AhRQIIEADASZQpVa5kCSBAAAAxZc6kWdMmgAABAOzk2dPnT6AAAgQAUNToUaRJlQIIEADAU6hRpU6lCiBAAABZtW7l2tUrgAABAIwlW9bsWbQAAgQA0NbtW7hx5QIIEADAXbx59e7lCyBAAACBBQ8mXNgwgAABACxm3NjxY8gAAgQAUNnyZcyZNQMIEADAZ9ChRY8mDSBAAACpVa9m3do1gAABAMymXdv2bdwAAgQA0Nv3b+DBhQMIEAD/wHHkyZUvZw4gQAAA0aVPp17dOoAAAQBs597d+3fwAAIEAFDe/Hn06dUDCBAAwHv48eXPpw8gQAAA+fXv59/fP0AAAQIAKGjwIMKECgEECADgIcSIEidSBBAgAICMGjdy7OgRQIAAAEaSLGnyJEoAAQIAaOnyJcyYMgEECADgJs6cOnfyBBAgAICgQocSLWoUQIAAAJYyber0KVQAAQIAqGr1KtasWgEECADgK9iwYseSBRAgAIC0ateybesWQIAAAObSrWv3Ll4AAQIA6Ov3L+DAggEECADgMOLEihczBhAgAIDIkidTrmwZQIAAADZz7uz5M2gAAQIAKG36NOrU/6oBBAgA4DXs2LJn0wYQIACA3Lp38+7tG0CAAACGEy9u/DhyAAECAGju/Dn06NIBBAgA4Dr27Nq3cwcQIACA8OLHky9vHkCAAADWs2/v/j18AAECAKhv/z7+/PoBBAgAACAAgQMJFjR4MEAAAAsZNnT4ECKAAAEAVLR4EWNGjQACBADwEWRIkSNJAggQAEBKlStZtnQJIEAAADNp1rR5EyeAAAEA9PT5E2hQoQACBABwFGlSpUuZAggQAEBUqVOpVrUKIEAAAFu5dvX6FSyAAAEAlDV7Fm1atQACBADwFm5cuXPpAggQAEBevXv59vULIEAAAIMJFzZ8GDGAAAEANP92/BhyZMkAAgQAcBlzZs2bOQMIEABAaNGjSZc2DSBAAACrWbd2/Ro2gAABANS2fRt3bt0AAgQA8Bt4cOHDiQMIEABAcuXLmTd3DiBAAADTqVe3fh07gAABAHT3/h18ePEAAgQAcB59evXr2QMIEABAfPnz6de3DyBAAAD7+ff3DxCAwIEECQYIACChwoUMGzoEECAAgIkUK1q8iBFAgAAAOnr8CDKkSAABAgA4iTKlypUsAQQIACCmzJk0a9oEECAAgJ08e/r8CRRAgAAAiho9ijSpUgABAgB4CjWq1KlUAQQIACCr1q1cu3oFECAAgLFky5o9ixZAgAAA2rp9Czf/rlwAAQIAuIs3r969fAEECAAgsODBhAsbBhAgAIDFjBs7fgwZQIAAACpbvow5s2YAAQIA+Aw6tOjRpAEECAAgterVrFu7BhAgAIDZtGvbvo0bQIAAAHr7/g08uHAAAQIAOI48ufLlzAEECAAguvTp1KtbBxAgu/bt3Lt7/w4+vPjx5MubP48+vfr17NUDeA8/vvz59AEECAAgv/79/Pv7BwggQAAABQ0eRJhQIYAAAQA8hBhR4kSKAAIEAJBR40aOHT0CCBAAwEiSJU2eRAkgQAAALV2+hBlTJoAAAQDcxJlT506eAAIEABBU6FCiRY0CCBAAwFKmTZ0+hQogQAAA/1WtXsWaVSuAAAEAfAUbVuxYsgACBACQVu1atm3dAggQAMBcunXt3sULIEAAAH39/gUcWDCAAAEAHEacWPFixgACBAAQWfJkypUtAwgQAMBmzp09fwYNIEAAAKVNn0adWjWAAAEAvIYdW/Zs2gACBACQW/du3r19AwgQAMBw4sWNH0cOIEAAAM2dP4ceXTqAAAEAXMeeXft27gACBAAQXvx48uXNAwgQAMB69u3dv4cPIEAAAPXt38efXz+AAAEAAAQgcCDBggYPBggAYCHDhg4fQgQQIACAihYvYsyoEUCAAAA+ggwpciRJAAECAEipciXLli4BBAgAYCbNmjZv4v8EECAAgJ4+fwINKhRAgAAAjiJNqnQpUwABAgCIKnUq1apWAQQIAGAr165ev4IFECAAgLJmz6JNqxZAgAAA3sKNK3cuXQABAgDIq3cv375+AQQIAGAw4cKGDyMGECAAgMaOH0OOLBlAgAAALmPOrHkzZwABAgAILXo06dKmAQQIAGA169auX8MGECAAgNq2b+POrRtAgAAAfgMPLnw4cQABAgBIrnw58+bOAQQIAGA69erWr2MHECAAgO7ev4MPLx5AgAAAzqNPr349ewABAgCIL38+/fr2AQQIAGA///7+AQIQOJAgwQABACRUuJBhQ4cAAgQAMJFiRYsXMQIIEAD/QEePH0GGFAkgQEmTJ1GmVLmSZUuXL2HGlDmTZk2bN3HaBLCTZ0+fP4ECCBAAQFGjR5EmVQogQAAAT6FGlTqVKoAAAQBk1bqVa1evAAIEADCWbFmzZ9ECCBAAQFu3b+HGlQsgQAAAd/Hm1buXL4AAAQAEFjyYcGHDAAIEALCYcWPHjyEDCBAAQGXLlzFn1gwgQAAAn0GHFj2aNIAAAQCkVr2adWvXAAIEADCbdm3bt3EDCBAAQG/fv4EHFw4gQAAAx5EnV76cOYAAAQBElz6denXrAAIEALCde3fv38EDCBAAQHnz59GnVw8gQAAA7+HHlz+fPoAAAQDk17+ff3///wABBAgAoKDBgwgTKgQQIACAhxAjSpxIEUCAAAAyatzIsaNHAAECABhJsqTJkygBBAgAoKXLlzBjygQQIACAmzhz6tzJE0CAAACCCh1KtKhRAAECAFjKtKnTp1ABBAgAoKrVq1izagUQIACAr2DDih1LFkCAAADSql3Ltq1bAAECAJhLt67du3gBBAgAoK/fv4ADCwYQIACAw4gTK17MGECAAAAiS55MubJlAAECANjMubPnz6ABBAgAoLTp06hTqwYQIACA17Bjy55NG0CAAABy697Nu7dvAAECABhOvLjx48gBBAgAoLnz59CjSwcQIACA69iza9/OHUCAAADCi/8fT768eQABAgBYz769+/fwAQQIAKC+/fv48+sHECAAAIAABA4kWNDgwQABACxk2NDhQ4gAAgQAUNHiRYwZNQIIEADAR5AhRY4kCSBAAAApVa5k2dIlgAABAMykWdPmTZwAAgQA0NPnT6BBhQIIEADAUaRJlS5lCiBAAABRpU6lWtUqgAABAGzl2tXrV7AAAgQAUNbsWbRp1QIIEADAW7hx5c6lCyBAAAB59e7l29cvgAABAAwmXNjwYcQAAgQA0NjxY8iRJQMIEADAZcyZNW/mDCBAAAChRY8mXdo0gAABAKxm3dr1a9gAAgQAUNv2bdy5dQMIEADAb+DBhQ8nDiD/QAAAyZUvZ97cOYAAAQBMp17d+nXsAAIEANDd+3fw4cUDCBAAwHn06dWvZw8gQAAA8eXPp1/fPoAAAQDs59/fP0AAAgcSJBggAICEChcybOgQQIAAACZSrGjxIkYAAQIA6OjxI8iQIgEECADgJMqUKleyBBAgAICYMmfSrGkTQIAAAHby7OnzJ1AAAQIAKGr0KNKkSgEECADgKdSoUqdSBRAgAICsWrdy7eoVQIAAAMaSLWv2LFoAAQIAaOv2Ldy4cgEECADgLt68evfyBRAgAIDAggcTLmwYQIAAABYzbuz4MWQAAQIAqGz5MubMmgEECADgM+jQokeTBhAgAIDU/6pXs27tGkCAAABm065t+zZuAAECAOjt+zfw4MIBBAgA4Djy5MqXMwcQIACA6NKnU69uHUCAAAC2c+/u/Tt4AAECAChv/jz69OoBBAgA4D38+PLn0wcQIACA/Pr38+/vHyCAAAEAFDR4EGFChQACBADwEGJEiRMpAggQAEBGjRs5dvQIIEAAACNJljR5EiWAAAEAtHT5EmZMmQACBABwE2dOnTt5AggQAEBQoUOJFjUKIEAAAEuZNnX6FCqAAAEAVLV6FWtWrQACBADwFWxYsWPJAggQAEBatWvZtnULIEAAAHPp1rV7Fy+AAAEA9PX7F3BgwQACBABwGHFixYsZA/8IEABAZMmTKVe2DCBAAACbOXf2/Bk0gAABAJQ2fRp1atUAAgQA8Bp2bNmzaQMIEABAbt27eff2DSBAAADDiRc3fhw5gAABADR3/hx6dOkAAgQAcB17du3buQMIEABAePHjyZc3DyBAAADr2bd3/x4+gAABANS3fx9/fv0AAgQAABCAwIEECxo8GCAAgIUMGzp8CBFAgAAAKlq8iDGjRgABAgD4CDKkyJEkAQQIACClypUsW7oEECAAgJk0a9q8iRNAgAAAevr8CTSoUAABAgA4ijSp0qVMAQQIACCq1KlUq1oFECAAgK1cu3r9ChZAgAAAypo9izatWgABAgB4Czf/rty5dAEECAAgr969fPv6BRAgAIDBhAsbPowYQIAAABo7fgw5smQAAQIAuIw5s+bNnAEECAAgtOjRpEubBhAgAIDVrFu7fg0bQIAAAGrbvo07t24AAQIA+A08uPDhxAEECAAgufLlzJs7BxAgAIDp1Ktbv44dQIAAALp7/w4+vHgAAQIAOI8+vfr17AEECAAgvvz59OvbBxAgAID9/Pv7BwhA4ECCBAMEAJBQ4UKGDR0CCBAAwESKFS1exAggQAAAHT1+BBlSJIAAAQCcRJlS5UqWAAIEABBT5kyaNW0CCBAAwE6ePX3+BAogQAAARY0eRZpUKYAAAQA8hRpV6lSq/wACBACQVetWrl29AggQAMBYsmXNnkULIEAAAG3dvoUbVy6AAAEA3MWbV+9evgACBAAQWPBgwoUNAwgQAMBixo0dP4YMIEAAAJUtX8acWTOAAAEAfAYdWvRo0gACBACQWvVq1q1dAwgQAMBs2rVt38YNIEAAAL19/wYeXDiAAAEAHEeeXPly5gACBAAQXfp06tWtAwgQAMB27t29fwcPIEAAAOXNn0efXj2AAAEAvIcfX/58+gACBACQX/9+/v39AwQQIACAggYPIkyoEECAAAAeQowocSJFAAECAMiocSPHjh4BBAgAYCTJkiZPogQQYCXLli5fwowpcybNmjZv4v/MqXMnz54+eQIIKnQo0aJGAQQIAGAp06ZOn0IFECAAgKpWr2LNqhVAgAAAvoINK3YsWQABAgBIq3Yt27ZuAQQIAGAu3bp27+IFECAAgL5+/wIOLBhAgAAADiNOrHgxYwABAgCILHky5cqWAQQIAGAz586eP4MGECAAgNKmT6NOrRpAgAAAXsOOLXs2bQABAgDIrXs3796+AQQIAGA48eLGjyMHECAAgObOn0OPLh1AgAAArmPPrn07dwABAgAIL348+fLmAQQIAGA9+/bu38MHECAAgPr27+PPrx9AgAAAAAIQOJBgQYMHAwQAsJBhQ4cPIQIIEABARYsXMWbUCCD/QAAAH0GGFDmSJIAAAQCkVLmSZUuXAAIEADCTZk2bN3ECCBAAQE+fP4EGFQogQAAAR5EmVbqUKYAAAQBElTqValWrAAIEALCVa1evX8ECCBAAQFmzZ9GmVQsgQAAAb+HGlTuXLoAAAQDk1buXb1+/AAIEADCYcGHDhxEDCBAAQGPHjyFHlgwgQAAAlzFn1ryZM4AAAQCEFj2adGnTAAIEALCadWvXr2EDCBAAQG3bt3Hn1g0gQAAAv4EHFz6cOIAAAQAkV76ceXPnAAIEADCdenXr17EDCBAAQHfv38GHFw8gQAAA59GnV7+ePYAAAQDElz+ffn37AAIEALCff3///wABCBxIkGCAAAASKlzIsKFDAAECAJhIsaLFixgBBAgAoKPHjyBDigQQIACAkyhTqlzJEkCAAABiypxJs6ZNAAECANjJs6fPn0ABBAgAoKjRo0iTKgUQIACAp1CjSp1KFUCAAACyat3KtatXAAECABhLtqzZs2gBBAgAoK3bt3DjygUQoK7du3jz6t3Lt6/fv4ADCx5MuLDhw4gNA1jMuLHjx5ABBAgAoLLly5gzawYQIACAz6BDix5NGkCAAABSq17NurVrAAECAJhNu7bt27gBBAgAoLfv38CDCwcQIACA48iTK1/OHECAAACiS59Ovbp1AAECANjOvbv37+ABBP8IAKC8+fPo06sHECAAgPfw48ufTx9AgAAA8uvfz7+/f4AAAgQAUNDgQYQJFQIIEADAQ4gRJU6kCCBAAAAZNW7k2NEjgAABAIwkWdLkSZQAAgQA0NLlS5gxZQIIEADATZw5de7kCSBAAABBhQ4lWtQogAABACxl2tTpU6gAAgQAUNXqVaxZtQIIEADAV7BhxY4lCyBAAABp1a5l29YtgAABAMylW9fuXbwAAgQA0NfvX8CBBQMIEADAYcSJFS9mDCBAAACRJU+mXNkygAABAGzm3NnzZ9AAAgQAUNr0adSpVQMIEADAa9ixZc+mDSBAAAC5de/m3ds3gAABAAwnXtz/+HHkAAIEANDc+XPo0aUDCBAAwHXs2bVv5w4gQAAA4cWPJ1/ePIAAAQCsZ9/e/Xv4AAIEAFDf/n38+fUDCBAAAEAAAgcSLGjwYIAAABYybOjwIUQAAQIAqGjxIsaMGgEECADgI8iQIkeSBBAgAICUKleybOkSQIAAAGbSrGnzJk4AAQIA6OnzJ9CgQgEECADgKNKkSpcyBRAgAICoUqdSrWoVQIAAALZy7er1K1gAAQIAKGv2LNq0agEECADgLdy4cufSBRAgAIC8evfy7esXQIAAAAYTLmz4MGIAAQIAaOz4MeTIkgEECADgMubMmjdzBhAgAIDQokeTLm0aQIAA/wBWs27t+jVsAAECAKht+zbu3LoBBAgA4Dfw4MKHEwcQIACA5MqXM2/uHECAAACmU69u/Tp2AAECAOju/Tv48OIBBAgA4Dz69OrXswcQIACA+PLn069vH0CAAAD28+/vHyAAgQMJEgwQAEBChQsZNnQIIEAAABMpVrR4ESOAAAEAdPT4EWRIkQACBABwEmVKlStZAggQAEBMmTNp1rQJIEAAADt59vT5EyiAAAEAFDV6FGlSpQACBADwFGpUqVOpAggQAEBWrVu5dvUKIEAAAGPJljV7Fi2AAAEAtHX7Fm5cuQACBABwF29evXv5AggQAEBgwYMJFzYMIEAAAIsZN/92/BgygAABAFS2fBlzZs0AAgQA8Bl0aNGjSQMIEABAatWrWbd2DSBAAACzade2fRs3gAABAPT2/Rt4cOEAAgQAcBx5cuXLmQMIEABAdOnTqVe3DiBAAADbuXf3/h08gAABAJQ3fx59evUAAgQA8B5+fPnz6QMIEABAfv37+ff3DxBAgAAACho8iDChQgABAgB4CDGixIkUAQQIACCjxo0cO3oEECAAgJEkS5o8iRJAgAAAWrp8CTOmTAABAgC4iTOnzp08AQQIACCo0KFEixoFECAAgKVMmzp9ChVAgAAAqlq9ijWrVgABAgD4Cjas2LFkAQQIACCt2rVs27oFECD/AIC5dOvavYsXQIAAAPr6/Qs4sGAAAQIAOIw4seLFjAEECAAgsuTJlCtbBhAgAIDNnDt7/gwaQIAAAEqbPo06tWoAAQIAeA07tuzZtAEECAAgt+7dvHv7BhAgAIDhxIsbP44cQIAAAJo7fw49unQAAQIAuI49u/bt3AEECAAgvPjx5MubBxAgAID17Nu7fw8fQIAAAOrbv48/v34AAQIAAAhA4ECCBQ0eDBAAwEKGDR0+hAggQAAAFS1exJhRI4AAAQB8BBlS5EiSAAIEAJBS5UqWLV0CCBAAwEyaNW3exAkgQAAAPX3+BBpUKIAAAQAcRZpU6VKmAAIEABBV6lSq/1WtAggQAMBWrl29fgULIEAAAGXNnkWbVi2AAAEAvIUbV+5cugACBACQV+9evn39AggQAMBgwoUNH0YMIEAAAI0dP4YcWTKAAAEAXMacWfNmzgACBAAQWvRo0qVNAwgQAMBq1q1dv4YNIEAAALVt38adWzeAAAEA/AYeXPhw4gACBACQXPly5s2dAwgQAMB06tWtX8cOIEAAAN29fwcfXjyAAAEAnEefXv169gACBAAQX/58+vXtAwgQAMB+/v39AwQgcCBBggECAEiocCHDhg4BBAgAYCLFihYvYgQQIACAjh4/ggwpEkCAAABOokypciVLAAECAIgpcybNmjYBBP8IAGAnz54+fwIFECAAgKJGjyJNqhRAgAAAnkKNKnUqVQABAgDIqnUr165eAQQIAGAs2bJmz6IFECAAgLZu38KNKxdAgAAA7uLNq3cvXwABAgAILHgw4cKGAQQIAGAx48aOH0MGECAAgMqWL2POrBlAgAAAPoMOLXo0aQABAgBIrXo169auAQQIAGA27dq2b+MGECAAgN6+fwMPLhxAgAAAjiNPrnw5cwABAgCILn069erWAQQIAGA79+7ev4MHECAAgPLmz6NPrx5AgAAA3sOPL38+fQABAgDIr38///7+AQIIEABAQYMHESZUCCBAAAAPIUaUOJEigAABAGTUuJH/Y0ePAAIEADCSZEmTJ1ECCBAAQEuXL2HGlAkgQAAAN3Hm1LmTJ4AAAQAEFTqUaFGjAAIEALCUaVOnT6ECCBAAQFWrV7Fm1QogQAAAX8GGFTuWLIAAAQCkVbuWbVu3AAIEADCXbl27d/ECCBAAQF+/fwEHFgwgQAAAhxEnVryYMYAAAQBEljyZcmXLAAIEALCZc2fPn0EDCBAAQGnTp1GnVg0gQAAAr2HHlj2bNoAAAQDk1r2bd2/fAAIEADCceHHjx5EDCBAAQHPnz6FHlw4gQAAA17Fn176dO4AAAQCEFz+efHnzAAIEALCefXv37+EDCBAAQH379/Hn1w8gQAAA/wABCBxIsKDBgwECAFjIsKHDhxABBAgAoKLFixgzagQQIACAjyBDihxJEkCAAABSqlzJsqVLAAECAJhJs6bNmzgBBAgAoKfPn0CDCgUQIACAo0iTKl3KFECAAACiSp1KtapVAAECANjKtavXr2ABBAgAoKzZs2jTqgUQIACAt3Djyp1LF0CAAADy6t3Lt69fAAECABhMuLDhw4gBBAgAoLHjx5AjSwYQIACAy5gza97MGUCAAABCix5NurRpAAECAFjNurXr17ABBAgAoLbt27hz6wYQIACA38CDCx9OHECAAACSK1/OvLlzAAECAJhOvbr169gBBAgAoLv37+DDi/8HECAAgPPo06tfzx5AgAAA4sufT7++fQABAgDYz7+/f4AABA4kSDBAAAAJFS5k2NAhgAABAEykWNHiRYwAAgQA0NHjR5AhRQIIEADASZQpVa5kCSBAAAAxZc6kWdMmgAABAOzk2dPnT6AAAgQAUNToUaRJlQIIEADAU6hRpU6lCiBAAABZtW7l2tUrgAABAIwlW9bsWbQAAgQA0NbtW7hx5QIIEADAXbx59e7lCyBAAACBBQ8mXNgwgAABACxm3NjxY8gAAgQAUNnyZcyZNQMIEADAZ9ChRY8mDSBAAACpVa9m3do1gAABAMymXdv2bdwAAgQA0Nv3b+DBhQMIEAD/wHHkyZUvZw4gQAAA0aVPp17dOoAAAQBs597d+3fwAAIEAFDe/Hn06dUDCBAAwHv48eXPpw8gQAAA+fXv59/fP0AAAQYSLGjwIMKEChcybOjwIcSIEidSrGiRIoCMGjdy7OgRQIAAAEaSLGnyJEoAAQIAaOnyJcyYMgEECADgJs6cOnfyBBAgAICgQocSLWoUQIAAAJYyber0KVQAAQIAqGr1KtasWgEECADgK9iwYseSBRAgAIC0ateybesWQIAAAObSrWv3Ll4AAQIA6Ov3L+DAggEECADgMOLEihczBhAgAIDIkidTrmwZQIAAADZz7uz5M2gAAQIAKG36NOrU/6oBBAgA4DXs2LJn0wYQIACA3Lp38+7tG0CAAACGEy9u/DhyAAECAGju/Dn06NIBBAgA4Dr27Nq3cwcQIACA8OLHky9vHkCAAADWs2/v/j18AAECAKhv/z7+/PoBBAgAACAAgQMJFjR4MEAAAAsZNnT4ECKAAAEAVLR4EWNGjQACBADwEWRIkSNJAggQAEBKlStZtnQJIEAAADNp1rR5EyeAAAEA9PT5E2hQoQACBABwFGlSpUuZAggQAEBUqVOpVrUKIEAAAFu5dvX6FSyAAAEAlDV7Fm1atQACBADwFm5cuXPpAggQAEBevXv59vULIEAAAIMJFzZ8GDGAAAEANP92/BhyZMkAAgQAcBlzZs2bOQMIEABAaNGjSZc2DSBAAACrWbd2/Ro2gAABANS2fRt3bt0AAgQA8Bt4cOHDiQMIEABAcuXLmTd3DiBAAADTqVe3fh07gAABAHT3/h18ePEAAgQAcB59evXr2QMIEABAfPnz6de3DyBAAAD7+ff3DxCAwIEECQYIACChwoUMGzoEECAAgIkUK1q8iBFAgAAAOnr8CDKkSAABAgA4iTKlypUsAQQIACCmzJk0a9oEECAAgJ08e/r8CRRAgAAAiho9ijSpUgABAgB4CjWq1KlUAQQIACCr1q1cu3oFECAAgLFky5o9ixZAgAAA2rp9Czf/rlwAAQIAuIs3r969fAEECAAgsODBhAsbBhAgAIDFjBs7fgwZQIAAACpbvow5s2YAAQIA+Aw6tOjRpAEECAAgterVrFu7BhAgAIDZtGvbvo0bQIAAAHr7/g08uHAAAQIAOI48ufLlzAEECAAguvTp1KtbBxAgAIDt3Lt7/w4eQIAAAMqbP48+vXoAAQIAeA8/vvz59AEECAAgv/79/Pv7BwggQAAABQ0eRJhQIYAAAQA8hBhR4kSKAAIEAJBR40aOHT0CCBAAwEiSJU2eRAkgQAAALV2+hBlTJoAAAQDcxJlT506eAAIEABBU6FCiRY0CCBAAwFKmTZ0+hQogQAAA/1WtXsWaVSuAAAEAfAUbVuxYsgACBACQVu1atm3dAggQAMBcunXt3sULIEAAAH39/gUcWDCAAAEAHEacWPFixgACBAAQWfJkypUtAwgQAMBmzp09fwYNIEAAAKVNn0adWjWAAAEAvIYdW/Zs2gACBACQW/du3r19AwgQAMBw4sWNH0cOIEAAAM2dP4ceXTqAAAEAXMeeXft27gACBAAQXvx48uXNAwgQAMB69u3dv4cPIEAAAPXt38efXz+AAAEAAAQgcCDBggYPBggAYCHDhg4fQgQQIACAihYvYsyoEUCAAAA+ggwpciRJAAECAEipciXLli4BBAgAYCbNmjZv4v8EECAAgJ4+fwINKhRAgAAAjiJNqnQpUwABAgCIKnUq1apWAQQIAGAr165ev4IFECAAgLJmz6JNqxZAgAAA3sKNK3cuXQABAgDIq3cv375+AQQILHgw4cKGDyNOrHgx48aOH0OOLHkyZckALmPOrHkzZwABAgAILXo06dKmAQQIAGA169auX8MGECAAgNq2b+POrRtAgAAAfgMPLnw4cQABAgBIrnw58+bOAQQIAGA69erWr2MHECAAgO7ev4MPLx5AgAAAzqNPr349ewABAgCIL38+/fr2AQQIAGA///7+AQIQOJAgwQABACRUuJBhQ4cAAgQAMJFiRYsXMQIIEAD/QEePH0GGFAkgQAAAJ1GmVLmSJYAAAQDElDmTZk2bAAIEALCTZ0+fP4ECCBAAQFGjR5EmVQogQAAAT6FGlTqVKoAAAQBk1bqVa1evAAIEADCWbFmzZ9ECCBAAQFu3b+HGlQsgQAAAd/Hm1buXL4AAAQAEFjyYcGHDAAIEALCYcWPHjyEDCBAAQGXLlzFn1gwgQAAAn0GHFj2aNIAAAQCkVr2adWvXAAIEADCbdm3bt3EDCBAAQG/fv4EHFw4gQAAAx5EnV76cOYAAAQBElz6denXrAAIEALCde3fv38EDCBAAQHnz59GnVw8gQAAA7+HHlz+fPoAAAQDk17+ff3///wABBAgAoKDBgwgTKgQQIACAhxAjSpxIEUCAAAAyatzIsaNHAAECABhJsqTJkygBBAgAoKXLlzBjygQQIACAmzhz6tzJE0CAAACCCh1KtKhRAAECAFjKtKnTp1ABBAgAoKrVq1izagUQIACAr2DDih1LFkCAAADSql3Ltq1bAAECAJhLt67du3gBBAgAoK/fv4ADCwYQIACAw4gTK17MGECAAAAiS55MubJlAAECANjMubPnz6ABBAgAoLTp06hTqwYQIACA17Bjy55NG0CAAABy697Nu7dvAAECABhOvLjx48gBBAgAoLnz59CjSwcQIACA69iza9/OHUCAAADCi/8fT768eQABAgBYz769+/fwAQQIAKC+/fv48+sHECAAAIAABA4kWNDgwQABACxk2NDhQ4gAAgQAUNHiRYwZNQIIEADAR5AhRY4kCSBAAAApVa5k2dIlgAABAMykWdPmTZwAAgQA0NPnT6BBhQIIEADAUaRJlS5lCiBAAABRpU6lWtUqgAABAGzl2tXrV7AAAgQAUNbsWbRp1QIIEADAW7hx5c6lCyBAAAB59e7l29cvgAABAAwmXNjwYcQAAgQA0NjxY8iRJQMIEADAZcyZNW/mDCBAAAChRY8mXdo0gAABAKxm3dr1a9gAAgQAUNv2bdy5dQMIEADAb+DBhQ8nDiD/QAAAyZUvZ97cOYAAAQBMp17d+nXsAAIEANDd+3fw4cUDCBAAwHn06dWvZw8gQAAA8eXPp1/fPoAAAQDs59/fP0AAAgcSJBggAICEChcybOgQQIAAACZSrGjxIkYAAQIA6OjxI8iQIgEECADgJMqUKleyBBAgAICYMmfSrGkTQIAAAHby7OnzJ1AAAQIAKGr0KNKkSgEECADgKdSoUqdSBRAgAICsWrdy7eoVQIAAAMaSLWv2LFoAAQIAaOv2Ldy4cgEECADgLt68evfyBRAgAIDAggcTLmwYQIAAABYzbuz4MWQAAQIAqGz5MubMmgEECADgM+jQokeTBhAgAIDU/6pXs27tGkCAAABm065t+zZuAAECAOjt+zfw4MIBBAgA4Djy5MqXMwcQIACA6NKnU69uHUCAAAC2c+/u/Tt4AAECAChv/jz69OoBBAgA4D38+PLn0wcQIACA/Pr38+/vHyCAAAEAFDR4EGFChQACBADwEGJEiRMpAggQAEBGjRs5dvQIIEAAACNJljR5EiWAAAEAtHT5EmZMmQACBABwE2dOnTt5AggQAEBQoUOJFjUKIEAAAEuZNnX6FCqAAFOpVrV6FWtWrVu5dvX6FWxYsWPJljVLFkBatWvZtnULIEAAAHPp1rV7Fy+AAAEA9PX7F3BgwQACBABwGHFixYsZA/8IEABAZMmTKVe2DCBAAACbOXf2/Bk0gAABAJQ2fRp1atUAAgQA8Bp2bNmzaQMIEABAbt27eff2DSBAAADDiRc3fhw5gAABADR3/hx6dOkAAgQAcB17du3buQMIEABAePHjyZc3DyBAAADr2bd3/x4+gAABANS3fx9/fv0AAgQAABCAwIEECxo8GCAAgIUMGzp8CBFAgAAAKlq8iDGjRgABAgD4CDKkyJEkAQQIACClypUsW7oEECAAgJk0a9q8iRNAgAAAevr8CTSoUAABAgA4ijSp0qVMAQQIACCq1KlUq1oFECAAgK1cu3r9ChZAgAAAypo9izatWgABAgB4Czf/rty5dAEECAAgr969fPv6BRAgAIDBhAsbPowYQIAAABo7fgw5smQAAQIAuIw5s+bNnAEECAAgtOjRpEubBhAgAIDVrFu7fg0bQIAAAGrbvo07t24AAQIA+A08uPDhxAEECAAgufLlzJs7BxAgAIDp1Ktbv44dQIAAALp7/w4+vHgAAQIAOI8+vfr17AEECAAgvvz59OvbBxAgAID9/Pv7BwhA4ECCBAMEAJBQ4UKGDR0CCBAAwESKFS1exAggQAAAHT1+BBlSJIAAAQCcRJlS5UqWAAIEABBT5kyaNW0CCBAAwE6ePX3+BAogQAAARY0eRZpUKYAAAQA8hRpV6lSq/wACBACQVetWrl29AggQAMBYsmXNnkULIEAAAG3dvoUbVy6AAAEA3MWbV+9evgACBAAQWPBgwoUNAwgQAMBixo0dP4YMIEAAAJUtX8acWTOAAAEAfAYdWvRo0gACBACQWvVq1q1dAwgQAMBs2rVt38YNIEAAAL19/wYeXDiAAAEAHEeeXPly5gACBAAQXfp06tWtAwgQAMB27t29fwcPIEAAAOXNn0efXj2AAAEAvIcfX/58+gACBACQX/9+/v39AwQQIACAggYPIkyoEECAAAAeQowocSJFAAECAMiocSPHjh4BBAgAYCTJkiZPogQQIACAli5fwowpE0CAAABu4v/MqXMnTwABAgAIKnQo0aJGAQQIAGAp06ZOn0IFECAAgKpWr2LNqhVAgAAAvoINK3YsWQABAgBIq3Yt27ZuAQQIAGAu3bp27+IFECAAgL5+/wIOLBhAgAAADiNOrHgxYwABAgCILHky5cqWAQQIAGAz586eP4MGECAAgNKmT6NOrRpAgAAAXsOOLXs2bQABAgDIrXs3796+AQQIAGA48eLGjyMHECAAgObOn0OPLh1AgAAArmPPrn07dwABAgAIL348+fLmAQQIAGA9+/bu38MHECAAgPr27+PPrx9AgAAAAAIQOJBgQYMHAwQAsJBhQ4cPIQIIEABARYsXMWbUCCD/QAAAH0GGFDmSJIAAAQCkVLmSZUuXAAIEADCTZk2bN3ECCBAAQE+fP4EGFQogQAAAR5EmVbqUKYAAAQBElTqValWrAAIEALCVa1evX8ECCBAAQFmzZ9GmVQsgQAAAb+HGlTuXLoAAAQDk1buXb1+/AAIEADCYcGHDhxEDCBAAQGPHjyFHlgwgQAAAlzFn1ryZM4AAAQCEFj2adGnTAAIEALCadWvXr2EDCBAAQG3bt3Hn1g0gQAAAv4EHFz6cOIAAAQAkV76ceXPnAAJElz6denXr17Fn176de3fv38GHFz+evHgA59GnV7+ePYAAAQDElz+ffn37AAIEALCff3///wABCBxIkGCAAAASKlzIsKFDAAECAJhIsaLFixgBBAgAoKPHjyBDigQQIACAkyhTqlzJEkCAAABiypxJs6ZNAAECANjJs6fPn0ABBAgAoKjRo0iTKgUQIACAp1CjSp1KFUCAAACyat3KtatXAAECABhLtqzZs2gBBAgAoK3bt3DjygUQIACAu3jz6t3LF0CAAAACCx5MuLBhAAECAFjMuLHjx5ABBAgAoLLly5gzawYQIACAz6BDix5NGkCAAABSq17NurVrAAECAJhNu7bt27gBBAgAoLfv38CDCwcQIACA48iTK1/OHECAAACiS59Ovbp1AAECANjOvbv37+ABBP8IAKC8+fPo06sHECAAgPfw48ufTx9AgAAA8uvfz7+/f4AAAgQAUNDgQYQJFQIIEADAQ4gRJU6kCCBAAAAZNW7k2NEjgAABAIwkWdLkSZQAAgQA0NLlS5gxZQIIEADATZw5de7kCSBAAABBhQ4lWtQogAABACxl2tTpU6gAAgQAUNXqVaxZtQIIEADAV7BhxY4lCyBAAABp1a5l29YtgAABAMylW9fuXbwAAgQA0NfvX8CBBQMIEADAYcSJFS9mDCBAAACRJU+mXNkygAABAGzm3NnzZ9AAAgQAUNr0adSpVQMIEADAa9ixZc+mDSBAAAC5de/m3ds3gAABAAwnXtz/+HHkAAIEANDc+XPo0aUDCBAAwHXs2bVv5w4gQAAA4cWPJ1/ePIAAAQCsZ9/e/Xv4AAIEAFDf/n38+fUDCBAAAEAAAgcSLGjwYIAAABYybOjwIUQAAQIAqGjxIsaMGgEECADgI8iQIkeSBBAgAICUKleybOkSQIAAAGbSrGnzJk4AAQIA6OnzJ9CgQgEECADgKNKkSpcyBRAgAICoUqdSrWoVQIAAALZy7er1K1gAAQIAKGv2LNq0agEECADgLdy4cufSBRAgAIC8evfy7esXQIAAAAYTLmz4MGIAAQIAaOz4MeTIkgEECADgMubMmjdzBhAgAIDQokeTLm0aQIAA/wBWs27t+jVsAAECAKht+zbu3LoBBAgA4Dfw4MKHEwcQIACA5MqXM2/uHECAAACmU69u/Tp2AAECAOju/Tv48OIBBAgA4Dz69OrXswcQIACA+PLn069vH0CAAAD28+/vHyAAgQMJEgwQAEBChQsZNnQIIEAAABMpVrR4ESOAAAEAdPT4EWRIkQACBABwEmVKlStZAggQAEBMmTNp1rQJIEAAADt59vT5EyiAAAEAFDV6FGlSpQACBADwFGpUqVOpAggQAEBWrVu5dvUKIEAAAGPJljV7Fi2AAAEAtHX7Fm5cuQACBABwF29evXv5AggQAEBgwYMJFzYMIEAAAIsZN/92/BgygAABAFS2fBlzZs0AAgQA8Bl0aNGjSQMIEABAatWrWbd2DSBAAACzade2fRs3gAABAPT2/Rt4cOEAAgQAcBx5cuXLmQMIEABAdOnTqVe3DiBAAADbuXf3/h08gAABAJQ3fx59evUAAgQA8B5+fPnz6QMIEABAfv37+ff3DxBAgAAACho8iDChQgABAgB4CDGixIkUAQQIACCjxo0cO3oEECAAgJEkS5o8iRJAgAAAWrp8CTOmTAABAgC4iTOnzp08AQQIACCo0KFEixoFECAAgKVMmzp9ChVAgAAAqlq9ijWrVgABAgD4Cjas2LFkAQQIACCt2rVs27oFECD/AIC5dOvavYsXQIAAAPr6/Qs4sGAAAQIAOIw4seLFjAEECAAgsuTJlCtbBhAgAIDNnDt7/gwaQIDRpEubPo06terVrFu7fg07tuzZtGvbpg0gt+7dvHv7BhAgAIDhxIsbP44cQIAAAJo7fw49unQAAQIAuI49u/bt3AEECAAgvPjx5MubBxAgAID17Nu7fw8fQIAAAOrbv48/v34AAQIAAAhA4ECCBQ0eDBAAwEKGDR0+hAggQAAAFS1exJhRI4AAAQB8BBlS5EiSAAIEAJBS5UqWLV0CCBAAwEyaNW3exAkgQAAAPX3+BBpUKIAAAQAcRZpU6VKmAAIEABBV6lSq/1WtAggQAMBWrl29fgULIEAAAGXNnkWbVi2AAAEAvIUbV+5cugACBACQV+9evn39AggQAMBgwoUNH0YMIEAAAI0dP4YcWTKAAAEAXMacWfNmzgACBAAQWvRo0qVNAwgQAMBq1q1dv4YNIEAAALVt38adWzeAAAEA/AYeXPhw4gACBACQXPly5s2dAwgQAMB06tWtX8cOIEAAAN29fwcfXjyAAAEAnEefXv169gACBAAQX/58+vXtAwgQAMB+/v39AwQgcCBBggECAEiocCHDhg4BBAgAYCLFihYvYgQQIACAjh4/ggwpEkCAAABOokypciVLAAECAIgpcybNmjYBBP8IAGAnz54+fwIFECAAgKJGjyJNqhRAgAAAnkKNKnUqVQABAgDIqnUr165eAQQIAGAs2bJmz6IFECAAgLZu38KNKxdAgAAA7uLNq3cvXwABAgAILHgw4cKGAQQIAGAx48aOH0MGECAAgMqWL2POrBlAgAAAPoMOLXo0aQABAgBIrXo169auAQQIAGA27dq2b+MGECAAgN6+fwMPLhxAgAAAjiNPrnw5cwABAgCILn069erWAQQIAGA79+7ev4MHECAAgPLmz6NPrx5AgAAA3sOPL38+fQABAgDIr38///7+AQIIEABAQYMHESZUCCBAAAAPIUaUOJEigAABAGTUuJH/Y0ePAAIEADCSZEmTJ1ECCBAAQEuXL2HGlAkgQAAAN3Hm1LmTJ4AAAQAEFTqUaFGjAAIEALCUaVOnT6ECCBAAQFWrV7Fm1QogQAAAX8GGFTuWLIAAAQCkVbuWbVu3AAIEADCXbl27d/ECCBAAQF+/fwEHFgwgQAAAhxEnVryYMYAAAQBEljyZcmXLAAIEALCZc2fPn0EDCBAAQGnTp1GnVg0gQAAAr2HHlj2bNoAAAQDk1r2bd2/fAAIEADCceHHjx5EDCBAAQHPnz6FHlw4gQAAA17Fn176dO4AAAQCEFz+efHnzAAIEALCefXv37+EDCBAAQH379/Hn1w8gQAAA/wABCBxIsKDBgwECAFjIsKHDhxABBAgAoKLFixgzagQQIACAjyBDihxJEkCAAABSqlzJsqVLAAECAJhJs6bNmzgBBAgAoKfPn0CDCgUQIACAo0iTKl3KFECAAACiSp1KtapVAAECANjKtavXr2ABBAgAoKzZs2jTqgUQIACAt3Djyp1LF0CAAADy6t3Lt69fAAECABhMuLDhw4gBBAgAoLHjx5AjSwYQIACAy5gza97MGUCAAABCix5NurRpAAECAFjNurXr17ABBAgAoLbt27hz6wYQIACA38CDCx9OHECAAACSK1/OvLlzAAECAJhOvbr169gBBAgAoLv37+DDi/8HECAAgPPo06tfzx5AgAAA4sufT7++fQABAgDYz7+/f4AABA4kSDBAAAAJFS5k2NAhgAABAEykWNHiRYwAAgQA0NHjR5AhRQIIUNLkSZQpVa5k2dLlS5gxZc6kWdPmTZw2Aezk2dPnT6AAAgQAUNToUaRJlQIIEADAU6hRpU6lCiBAAABZtW7l2tUrgAABAIwlW9bsWbQAAgQA0NbtW7hx5QIIEADAXbx59e7lCyBAAACBBQ8mXNgwgAABACxm3NjxY8gAAgQAUNnyZcyZNQMIEADAZ9ChRY8mDSBAAACpVa9m3do1gAABAMymXdv2bdwAAgQA0Nv3b+DBhQMIEAD/wHHkyZUvZw4gQAAA0aVPp17dOoAAAQBs597d+3fwAAIEAFDe/Hn06dUDCBAAwHv48eXPpw8gQAAA+fXv59/fP0AAAQIAKGjwIMKECgEECADgIcSIEidSBBAgAICMGjdy7OgRQIAAAEaSLGnyJEoAAQIAaOnyJcyYMgEECADgJs6cOnfyBBAgAICgQocSLWoUQIAAAJYyber0KVQAAQIAqGr1KtasWgEECADgK9iwYseSBRAgAIC0ateybesWQIAAAObSrWv3Ll4AAQIA6Ov3L+DAggEECADgMOLEihczBhAgAIDIkidTrmwZQIAAADZz7uz5M2gAAQIAKG36NOrU/6oBBAgA4DXs2LJn0wYQIACA3Lp38+7tG0CAAACGEy9u/DhyAAECAGju/Dn06NIBBAgA4Dr27Nq3cwcQIACA8OLHky9vHkCAAADWs2/v/j18AAECAKhv/z7+/PoBBAgAACAAgQMJFjR4MEAAAAsZNnT4ECKAAAEAVLR4EWNGjQACBADwEWRIkSNJAggQAEBKlStZtnQJIEAAADNp1rR5EyeAAAEA9PT5E2hQoQACBABwFGlSpUuZAggQAEBUqVOpVrUKIEAAAFu5dvX6FSyAAAEAlDV7Fm1atQACBADwFm5cuXPpAggQAEBevXv59vULIEAAAIMJFzZ8GDGAAAEANP92/BhyZMkAAgQAcBlzZs2bOQMIEABAaNGjSZc2DSBAAACrWbd2/Ro2gAABANS2fRt3bt0AAgQA8Bt4cOHDiQMIEABAcuXLmTd3DiBAAADTqVe3fh07gAABAHT3/h18ePEAAgQAcB59evXr2QMIEABAfPnz6de3DyBAAAD7+ff3DxCAwIEECQYIACChwoUMGzoEECAAgIkUK1q8iBFAgAAAOnr8CDKkSAABAgA4iTKlypUsAQQIACCmzJk0a9oEECAAgJ08e/r8CRRAgAAAiho9ijSpUgABAgB4CjWq1KlUAQQIACCr1q1cu3oFECAAgLFky5o9ixZAgAAA2rp9Czf/rlwAAQIAuIs3r969fAEECAAgsODBhAsbBhAgAIDFjBs7fgwZQIAAACpbvow5s2YAAQIA+Aw6tOjRpAEECAAgterVrFu7BhAgAIDZtGvbvo0bQIAAAHr7/g08uHAAAQIAOI48ufLlzAEECAAguvTp1KtbBxAgAIDt3Lt7/w4eQIAAAMqbP48+vXoAAQIAeA8/vvz59AEECAAgv/79/Pv7BwggQAAABQ0eRJhQIYAAAQA8hBhR4kSKAAIEAJBR40aOHT0CCBAAwEiSJU2eRAkgQAAALV2+hBlTJoAAAQDcxJlT506eAAIEABBU6FCiRY0CCBAAwFKmTZ0+hQogQAAA/1WtXsWaVSuAAAEAfAUbVuxYsgACBACQVu1atm3dAggQAMBcunXt3sULIEAAAH39/gUcWDCAAAEAHEacWPFixgACBAAQWfJkypUtAwgQAMBmzp09fwYNIEAAAKVNn0adWjWAAAEAvIYdW/Zs2gACBACQW/du3r19AwgQAMBw4sWNH0cOIEAAAM2dP4ceXTqAAAEAXMeeXft27gACBAAQXvx48uXNAwgQAMB69u3dv4cPIMB8+vXt38efX/9+/v39AwwgcCDBggYPIkyocCHDhg4fQoxoEADFihYvYswIIEAAAB4/ggwpciSAAAEAoEypciXLlgACBAAgcybNmjZvAv8IEAAAz54+fwINCiBAAABGjyJNqnQpgAABAECNKnUq1aoAAgQAoHUr165evwIIEAAA2bJmz6JNCyBAAABu38KNK3cugAABAODNq3cv374AAgQAIHgw4cKGDwMIEAAA48aOH0OODCBAAACWL2POrHkzgAABAIAOLXo06dIAAgQAoHo169auXwMIEAAA7dq2b+PODSBAAAC+fwMPLnw4gAABACBPrnw58+YAAgQAIH069erWrwMIEAAA9+7ev4MPDyBAAADmz6NPr349gAABAMCPL38+/foAAgQAoH8///7+AQIQOFBggAAAECZUuJBhQwABAgCQOJFiRYsXAQQIAID/Y0ePH0GGBBAgAACTJ1GmVLkSQIAAAGDGlDmTZk0AAQIA0LmTZ0+fPwEECACAaFGjR5EmBRAgAACnT6FGlToVQIAAALBm1bqVa1cAAQIAEDuWbFmzZwEECACAbVu3b+HGBRAgAAC7d/Hm1bsXQIAAAAAHFjyYcGEAAQIAULyYcWPHjwEECACAcmXLlzFnBhAgAADPn0GHFj0aQIAAAFCnVr2adWsAAQIAkD2bdm3btwEECACAd2/fv4EHBxAgAADjx5EnV74cQIAAAKBHlz6denUAAQIA0L6de3fv3wEECACAfHnz59GnBxAgAAD37+HHlz8fQIAAAPDn17+ff38A/wADBABAsKDBgwgTAggQAIDDhxAjSpwIIEAAABgzatzIsSOAAAEAiBxJsqTJkwACBADAsqXLlzBjAggQAIDNmzhz6twJIEAAAECDCh1KtCiAAAEAKF3KtKnTpwACBABAtarVq1izAggQAIDXr2DDih0LIEAAAGjTql3Lti2AAAEAyJ1Lt67duwACBADAt6/fv4ADAwgQAIDhw4gTK14MIEAAAJAjS55MuTKAAAEAaN7MubPnzwACBABAurTp06hTAwgQAIDr17Bjy54NIEAAALhz697NuzeAAAEACB9OvLjx4wACBADAvLnz59CjAwgQAID169iza98OIEAAAODDi/8fT748gAABAKhfz769+/cAAgQAQL++/fv48wMIEACAf4AABA4kWNBgwQABACxk2NDhQ4gAAgQAUNHiRYwZNQIIEADAR5AhRY4kCSBAAAApVa5k2dIlgAABAMykWdPmTZwAAgQA0NPnT6BBhQIIEADAUaRJlS5lCiBAAABRpU6lWtUqgAABAGzl2tXrV7AAAgQAUNbsWbRp1QIIEADAW7hx5c6lCyBAAAB59e7l29cvgAABAAwmXNjwYcQAAgQA0NjxY8iRJQMIEADAZcyZNW/mDCBAAAChRY8mXdo0gAABAKxm3dr1a9gAAgQAUNv2bdy5dQMIEADAb+DBhQ8nDiDoQAAAyZUvZ97cOYAAAQBMp17d+nXsAAIEANDd+3fw4cUDCBAAwHn06dWvZw8gQAAA8eXPp1/fPoAAAQDs59/fP0AAAgcSJBggAICEChcybOgQQIAAACZSrGjxIkYAAQIA6OjxI8iQIgEECADgJMqUKleyBBAgAICYMmfSrGkTQIAAAHby7OnzJ1AAAQIAKGr0KNKkSgEECADgKdSoUqdSBRAgAICsWrdy7eoVQIAAAMaSLWv2LFoAAQIAaOv2Ldy4cgEECADgLt68evfyBRDgL+DAggcTLmz4MOLEihczbuz4MeTIkh8HBAA7\"><title>Layer: conv2D_2 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"657.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 657.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 540) translate(2)\" >32</text><text x=\"273.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 770) translate(2)\" >0</text><text x=\"62.0\" y=\"560\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 560) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"784\" x2=\"175.0\" y2=\"757\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2/kernel:0 has shape (5, 5, 16, 32)\n conv2D_2/bias:0 has shape (32,)</title></line><rect x=\"74.0\" y=\"784\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_maxpool1-rotated_6\" class=\"picture-dashboard-MNIST_CNN-172404_maxpool1-rotated\" x=\"75.0\" y=\"785\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"887.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 887.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 770) translate(2)\" >16</text><text x=\"273.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1000) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1014\" x2=\"175.0\" y2=\"987\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1014\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_conv2D_1-rotated_7\" class=\"picture-dashboard-MNIST_CNN-172404_conv2D_1-rotated\" x=\"75.0\" y=\"1015\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhGAAYAIcAAPT5/tfm9OLt+Mve8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAGAAYAEAI/wABCBxIsKDBggEAKFzIUGEAAQAiSpwYoCKAixgzXgzAEYBHjwEAiBxJsqRJkQICBADAsqVLAQFiAphJs6bNmzUDBADAs6fPn0CBCggAoKjRo0iTFg3AFIDTp1ADDAgAoKpVqwECCADAtatXAAEGBABAtizZAAIEAFjLtu3aAAEAyJ1Lt67du3jz6t27NwCAv4ADCx78N4AAAIgTK17MGECAAAAiS54MIEAAAJgzZw7AGYDnz6ADiAZAujRpAQEEAFjNujWAALAByJ4tO0AAAQBy694NQECAAAIACB8OIIBxAMiTKwcQoDmA59CjS58OIEAAANiza9/OHbsAAQDCiwYfT748+YAAOw==\"><title>Layer: conv2D_1 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1117.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1117.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1000) translate(2)\" >16</text><text x=\"273.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1230) translate(2)\" >0</text><text x=\"62.0\" y=\"1020\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1020) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1244\" x2=\"175.0\" y2=\"1217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1/kernel:0 has shape (5, 5, 1, 16)\n conv2D_1/bias:0 has shape (16,)</title></line><rect x=\"74.0\" y=\"1244\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-172404_input-rotated_8\" class=\"picture-dashboard-MNIST_CNN-172404_input-rotated\" x=\"75.0\" y=\"1245\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1347.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1347.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1230) translate(2)\" >1</text><text x=\"273.0\" y=\"1460\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1460) translate(2)\" >0</text><text x=\"18\" y=\"735.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 735.0) translate(2)\" >MNIST_CNN</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature0\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature1\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature2\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature3\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature4\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature5\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature6\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature7\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature8\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature9\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature10\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature11\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature12\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature13\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX5/t7r9+Hs9wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjLhRAUQCAixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTpyYDSA0AoKrVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67dugLyCgDAt6/fv4ADCx5MuLDhw4gTK17MuLHjx5AjS55MubLly5gza97MubPnz6BDix5NurTp06hTq14dOYDrAABiy55Nu7bt27hz697Nu7fv38CDCx9OvLjx48iTK1/OvLnz59CjS59Ovbr169iza9/Ovbv37+B9C8YYLwCA+fPo06tfz769+/fw4wMQQF8AgPv48+vfz7+/f4AABA4kWNDgQYQJFS5k2NDhQ4gRJU6kWNHiRYwZNW7k2NHjR5AhRY4kWdLkSZQpVa5k2dLlS5gxZc6kWdPmTZw5de7k2dPnT6BBhQ4lmjDA0QAAlC5l2tTpU6hRpU6lWhVAAKwBAGzl2tXrV7BhxY4lW9bsWbRp1a5l29btW7hx5c6lW9fuXbx59e7l29fvX8CBBQ8mXNjwYcSJFS9m3NjxY8hpAwIAOw==\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature14\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPT5/uLt+Nnn9AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIUWGAixgvCtjIcWOAjwEEiBwpEoDJkyhNBlgZAIDLlzBjypxJs+bMADhz4gTAs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1irBtgaQIDXr14BiB1LtqzZs2jTql0rNoDbAALiyo0LoK7dugHyBgDAt6/fv4ADCx5MGECAwwEEKF6sOIDjAAAiS55MubLly5gza44coLPnzgBCix5NurTp06hTq17NurXr17Bjy54dO4Dt27htA9jNu/fuAMADCBguAIDx48iTK1/OPIDzAAKiS48eoHoAANiza8ceoLv37gDCi/8fT768+fPo06tfz769+/fw48ufT7++/fEB8gcAwL+/f4AABA4kWNDgQYQJFS5k2NDhQ4gRJT4MUNFiRQAZNW7k2NHjR5AhRXYUUNLkyZIAVK5k2dLlS5gxZc5UGcBmAAE5deYM0DMAAKAAAgwNAMDoUaRJlS5l2tRpUgFRpUYFUNXqVaxZtW7l2tXrV7BhxY4lW9bsWbRp1a5l29btW7hx5X4NUNfu3boA9O7lqzfA3wACBAsAUNjwYcSJFS9eHMDxY8cCJE+WHMByAAGZNWcG0Nnz584BRAcAUNr0adSpVa9eHcB1AAGxZccOUDsAANy5deMO0Nt3bwDBhQ8nXtz/+HHkyZUHD9DceXMA0aVPp17d+nXs2bVv597d+3fw4cWPJ1/e/Hn06dWvZ99efQD4AQDMp1/f/n38+fXv59/fP0AAAgcSLGjwIMKEChcybOjwIcSIEidSrGjxYsUAGjdqBODxI8iQIkeSLGnyJEqPAVYGEODypUsAMmfSrGnzJs6cOnfqFODzJ1CfAIYSLWr0KNKkSpcyXRrgaQABUqdKBWD1qtUAWgMA6Or1K9iwYseSLUs2ANoAAtayXRvgbQAAcgEEqBsAAN68evfy7ev3L+C/AQYHEGD4sOEAigMAaOz4MeTIkidTrmy5soDMmjMD6Oz5M+jQokeTLm36dOcA/6pXqwbg+jXs2LJn065t+zbu3Lp38+7t+zfw4MKHEy9u/Djy5MqXM2/u/Dn06NKnEw9g/Tp26wC2c+++PQD4AALGCwBg/jz69OrXs2/vvn2A+PLnxwdg/z5++wH2BxDgH6AAAAMJFjR4EGHChAEYNmQoAGJEiAEoBhBwEeNFABs5dtwYAGQAACNJljR5EmVKlSgDtHTZUkBMmTED1AwgAGdOnAB49vTJM0DQAACIFjV6FGlSpUoDNA0gAGpUqAGoBgBwFWvWqwG4duUKAGxYsWPJljV7Fu3YAGsDCHD71m0AuQEA1LV7t24AvXv1AvD7F3BgwYMJFzZ82G8AxYsVA/9w/BhyZMmTKVe2fBmz5QCbOW8G8Bl0aNGjSZc2fRp1atWrWbd2/Rp2bNmzade2fRt3bt27eff2/Rt4cOHDiRc3zjpA8gAAmDd3/hx6dOnTqVe3fh1AAO0BAHT3/h18ePHjyZc3fx59evXr2bd3/x5+fPnz6de3fx9/fv37+ff3DxCAwIEECxo8iDAhgAAMGzIEADGixIkUK1q8iDGjRowBOnrsCCCkyJEkS5o8iTKlypUhA7gMICCmzJgAatq8iTOnzp08e/r8mTOA0AACihotCiCp0qVMmzp9CjWq1KgCqlq9WhWA1q1cu3r9Cjas2LFkvQo4izbtWQBs27p9Czf/rty5dOvSDYA3gIC9fPcC+Av4b4DBAQAYPow4seLFjBs7fqw4gOQAAipbrgwgs+bMAToHAAA6tOjRpEubPo36dIDVAQS4fu06gOwAAGoDCIA7AIDdvHv7/g08uPDhxH8HOB5AgPLlygM4DwAgOoAA1AMAuI49u/bt3Lt7/+49gPgAAsqbLx8gfQAA7Nu7fw8/vvz59OvbZx8gfwAB/PvzBxhAYAAABQ0eRJhQ4UKGDR02FBBRYkQAFS1exJhR40aOHT1+7ChA5EiRAEyeRJlS5UqWLV2+hGkywEyaMwHcxJlT506ePX3+BBr0ZwCiRYkCQJpU6VKmTZ0+hRpV6lSqDFWtXsWaVetWrl0DAgA7\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature15\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
      }
     },
     "27811109a98440ff89d5ec315fef09d5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2819e44f06ed4f56acd1ee1253080736": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "285156f902124bc2be26834aeb9580ba": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "2867e287b744415c8b33458ccc262f3e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "287b771a1c9645adbf59beaf21c21346": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
       "layout": "IPY_MODEL_6621dba9967248f0935697e6beec4ccb",
       "step": 1,
       "style": "IPY_MODEL_72b9e5907d62434fb5b6ae9172ba1a4b"
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output (output)\n output range: (-1.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-798434_output-rotated_6\" class=\"picture-dashboard-MNIST_MLP-798434_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (-1.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden2 to output\n output/kernel has shape (30, 10)\n output/bias has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-798434_hidden2-rotated_7\" class=\"picture-dashboard-MNIST_MLP-798434_hidden2-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAP37/dXV/5eX/wAA97S0/4SE/0FB/6mp/xUV/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIIQABCDwAAAGAAAAABABgAIDDAAAEAJgIQAAAAAQGFAAQEAA7\"><title>Layer: hidden2 (hidden)\n output range: (-1.0, 1.0)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden2</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden1 to hidden2\n hidden2/kernel has shape (30, 30)\n hidden2/bias has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-798434_hidden1-rotated_8\" class=\"picture-dashboard-MNIST_MLP-798434_hidden1-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAP78/dPT/3t7/zAw/6en/wAAfgAATAAAmgAA4FVV/wAAxMHB/7Gx/2Vl/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIIwAHADAAIACAgwoECABAoMGCAQAYEEAQAACAAwAABEgAoEBAADs=\"><title>Layer: hidden1 (hidden)\n output range: (-1.0, 1.0)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >hidden1</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat_input to hidden1\n hidden1/kernel has shape (784, 30)\n hidden1/bias has shape (30,)</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-798434_flat_input-rotated_9\" class=\"picture-dashboard-MNIST_MLP-798434_flat_input-rotated\" x=\"75.0\" y=\"325\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat_input (hidden)\n output range: (0.0, 1.0)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"352.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 352.0) translate(2)\" >flat_input</text><line x1=\"175.0\" y1=\"404\" x2=\"175.0\" y2=\"377\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to flat_input</title></line><rect x=\"74.0\" y=\"404\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-798434_input-rotated_10\" class=\"picture-dashboard-MNIST_MLP-798434_input-rotated\" x=\"75.0\" y=\"405\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHAAcAIcAAAAAAPz8/Ofn5ykpKZSUlDU1NdjY2KqqqoeHh7q6uktLSxsbG3t7e8nJyVJSUmBgYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHAAcAEAI/wABCBxIsKDBgwUNBEgAoKHDhxAjSgSQIEAAAw0EBAigAIDHBQECABhJsqTJkyhTBkgAoKXLlzBjygRAIICAAQBy5hwgIIBPnwUACB1KtKhRoQsMCBgAoKnTp1CjSp0KgEAABACyat3KtWtXAgESABhLlmwBAgUAqF3Ltq2DAAEcAJhLIEAAAgAAHAgQAIDfv4ABKzBA2EABAIgRHwhwAIDjx5AjS55MubLly5gzAziAAIDnz6BDiw4dIMACAKhTq17NWvWDAAIKAJhNu7bt27UHCAiAAIDv38CDCwc+QEAABACSKwdAIIDzAAUASJ9OfXqDAAgAaNdOIEAABQwCBFY4AKC8+fPlBwgIYGAAgAEBAggYAABAgQABAOjfz3+/AoACAgwMIIAAAIQAGAQIAMDhQ4gRJT4sEEDAAAAZNW7k2DHjAgYDAIwkWdLkSZQpVa5k2bJlQAA7\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"507.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 507.0) translate(2)\" >input</text><text x=\"88.0\" y=\"390\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 390) translate(2)\" >1</text><text x=\"273.0\" y=\"620\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 620) translate(2)\" >0</text><text x=\"18\" y=\"315.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 315.0) translate(2)\" >MNIST_MLP</text></svg></g></svg></p>"
      }
     },
     "5641c436b06e46d0899d292310c261d4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "569183ff6be54675ace2fb9f2a94278a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "56a4c28e28444f54a50cc120cc829eec": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "icon": "fast-backward",
       "layout": "IPY_MODEL_526d485ee8d2493a834bff79fe3efa17",
       "style": "IPY_MODEL_45a186f9eb0c4fd487723c27b96a0d61"
      }
     },
     "56c1b85760e549bfa8432b61d789bdf0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "56d85837bb724a6d914c11a607a374c3": {
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output (output)\n output range: (0, 1)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_output_errors_1\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_output_errors\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" 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output (output)\n output range: (0, 1)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >errors</text><line x1=\"87.5\" y1=\"140\" x2=\"262.5\" y2=\"140\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"144\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_output-rotated_1\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_output-rotated\" x=\"75.0\" y=\"145\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0, 1)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"172.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 172.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"224\" x2=\"175.0\" y2=\"197\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output/kernel:0 has shape (30, 10)\n output/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"224\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_hidden-rotated_2\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_hidden-rotated\" x=\"75.0\" y=\"225\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAH8AAI0AALMAAOwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIHwAFAAgQQACAAAASKhwAQEAAAAACDABAkaIAAAECBAQAOw==\"><title>Layer: hidden (hidden)\n output range: (0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"252.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 252.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"304\" x2=\"175.0\" y2=\"277\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden/kernel:0 has shape (512, 30)\n hidden/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"304\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_flat-rotated_3\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_flat-rotated\" x=\"75.0\" y=\"305\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"332.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 332.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"384\" x2=\"175.0\" y2=\"357\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"384\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_maxpool2-rotated_4\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_maxpool2-rotated\" x=\"75.0\" y=\"385\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"487.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 487.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"370\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 370) translate(2)\" >32</text><text x=\"273.0\" y=\"600\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 600) translate(2)\" >0</text><line x1=\"175.0\" y1=\"614\" x2=\"175.0\" y2=\"587\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"614\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_conv2D_2-rotated_5\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_conv2D_2-rotated\" x=\"75.0\" y=\"615\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: conv2D_2 (hidden)\n output range: (0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"717.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 717.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"600\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 600) translate(2)\" >32</text><text x=\"273.0\" y=\"830\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 830) translate(2)\" >0</text><text x=\"62.0\" y=\"620\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 620) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"844\" x2=\"175.0\" y2=\"817\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2/kernel:0 has shape (5, 5, 16, 32)\n conv2D_2/bias:0 has shape (32,)</title></line><rect x=\"74.0\" y=\"844\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_maxpool1-rotated_6\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_maxpool1-rotated\" x=\"75.0\" y=\"845\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"947.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 947.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"830\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 830) translate(2)\" >16</text><text x=\"273.0\" y=\"1060\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1060) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1074\" x2=\"175.0\" y2=\"1047\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1074\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_conv2D_1-rotated_7\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_conv2D_1-rotated\" x=\"75.0\" y=\"1075\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: conv2D_1 (hidden)\n output range: (0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1177.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1177.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1060\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1060) translate(2)\" >16</text><text x=\"273.0\" y=\"1290\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1290) translate(2)\" >0</text><text x=\"62.0\" y=\"1080\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1080) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1304\" x2=\"175.0\" y2=\"1277\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1/kernel:0 has shape (5, 5, 1, 16)\n conv2D_1/bias:0 has shape (16,)</title></line><rect x=\"74.0\" y=\"1304\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-530181_input-rotated_8\" class=\"picture-dashboard-MNIST_CNN_Visualize-530181_input-rotated\" x=\"75.0\" y=\"1305\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1407.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1407.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1290\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1290) translate(2)\" >1</text><text x=\"273.0\" y=\"1520\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1520) translate(2)\" >0</text><text x=\"18\" y=\"765.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 765.0) translate(2)\" >MNIST_CNN_Visualize</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature0\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature1\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature2\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature3\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature4\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature5\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature6\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature7\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature8\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature9\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature10\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature11\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature12\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature13\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature14\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature15\" 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\"/><br/><center>Feature 15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
      }
     },
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        "IPY_MODEL_63f82e95273f48a996be8442e99c010f",
        "IPY_MODEL_41acb8ca1cb54fb3ae0a6f5252b3a089",
        "IPY_MODEL_2dde6827b6aa485c859fbb6f57a85cb7",
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     "65bcc19b0213441ba99775480c127655": {
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     "65c7fdc9e91d4a27836542917098a2b9": {
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     "65fe8b9fe2be452bbc703cfa445484fe": {
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      "model_module_version": "1.1.0",
      "model_name": "VBoxModel",
      "state": {
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     "6621dba9967248f0935697e6beec4ccb": {
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     "6623b913940e422386c1062f0e7b4638": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
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      }
     },
     "66b6e96522aa4d58acfa3d0a40a6cb66": {
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     "66df60e865f14a938071b764591c1942": {
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     "66e923de76e3454484c610a8c8d9b47a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Play",
       "icon": "play",
       "layout": "IPY_MODEL_a8bcde00afdd4092a9f7a278a8342c1e",
       "style": "IPY_MODEL_a4379daeb48a4c01918cc92e3f09c55c"
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output (output)\n output range: (0, 1)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >errors</text><line x1=\"87.5\" y1=\"140\" x2=\"262.5\" y2=\"140\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"144\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_output-rotated_97\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_output-rotated\" x=\"75.0\" y=\"145\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0, 1)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"172.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 172.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"224\" x2=\"175.0\" y2=\"197\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output_3/kernel:0 has shape (30, 10)\n output_3/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"224\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_hidden-rotated_98\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_hidden-rotated\" x=\"75.0\" y=\"225\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAAAATH8AADg4/+MAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIIQABBAAAIACAAAAABAAQIAAAAAEiChgAAECAAAAyZgwQEAA7\"><title>Layer: hidden (hidden)\n output range: (0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"252.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 252.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"304\" x2=\"175.0\" y2=\"277\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden_3/kernel:0 has shape (512, 30)\n hidden_3/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"304\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_flat-rotated_99\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_flat-rotated\" x=\"75.0\" y=\"305\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"332.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 332.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"384\" x2=\"175.0\" y2=\"357\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"384\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_maxpool2-rotated_100\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_maxpool2-rotated\" x=\"75.0\" y=\"385\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"487.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 487.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"370\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 370) translate(2)\" >32</text><text x=\"273.0\" y=\"600\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 600) translate(2)\" >0</text><line x1=\"175.0\" y1=\"614\" x2=\"175.0\" y2=\"587\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"614\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_conv2D_2-rotated_101\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_conv2D_2-rotated\" x=\"75.0\" y=\"615\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: conv2D_2 (hidden)\n output range: (0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"717.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 717.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"600\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 600) translate(2)\" >32</text><text x=\"273.0\" y=\"830\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 830) translate(2)\" >0</text><text x=\"62.0\" y=\"620\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 620) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"844\" x2=\"175.0\" y2=\"817\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2_2/kernel:0 has shape (5, 5, 16, 32)\n conv2D_2_2/bias:0 has shape (32,)</title></line><rect x=\"74.0\" y=\"844\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_maxpool1-rotated_102\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_maxpool1-rotated\" x=\"75.0\" y=\"845\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"947.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 947.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"830\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 830) translate(2)\" >16</text><text x=\"273.0\" y=\"1060\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1060) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1074\" x2=\"175.0\" y2=\"1047\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1074\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_conv2D_1-rotated_103\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_conv2D_1-rotated\" x=\"75.0\" y=\"1075\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhGAAYAIcAAH8AAI0AAK8AANAAAPIBAf8VFf8lJf82NgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAGAAYAEAI/wABCBxIsKBBggEEEBAAoGHDAAICABBAoEAAABgzZhRAgIAAACBDigwwwACBAABSBhgwAIDLlzBjygQQgACBAQBy5hQQAACAAAQMEAgAoKjRo0iTFg0wYEAAAFADAJhKtarVq1MHDADAtSvXAADCih0rVkABAgEAqAUQAACAAAIGFCAAoK5duwMKEBAAIIAAAQEACAYQYECBAgIAKF4MQMAAAQAiS54MIMCAAgMAaN7MubNnAAEEABhNurTp06cDCAgAoLXr17BjAyAwAIDt27hz6wYgYEAAAMCDBwgAIIAAAQCSK1c+oACBAACiBwggIECAAQUODADAvTt3AQQICG4AQJ58gPMABhA4MACA+/cAAhAwQCAAAAAC8gcAwH8AAYAHBgAgWBDAgAIEAgAAEADAQ4gABBA4MADARYwBBhAQEADAR5AhBRAwIADASZQBAgBg2dJlywEEBgCgWdPmTZwABAwIAMDnT6BBhQINCAA7\"><title>Layer: conv2D_1 (hidden)\n output range: (0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1177.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1177.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1060\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1060) translate(2)\" >16</text><text x=\"273.0\" y=\"1290\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1290) translate(2)\" >0</text><text x=\"62.0\" y=\"1080\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1080) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1304\" x2=\"175.0\" y2=\"1277\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1_2/kernel:0 has shape (5, 5, 1, 16)\n conv2D_1_2/bias:0 has shape (16,)</title></line><rect x=\"74.0\" y=\"1304\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN_Visualize-7177_input-rotated_104\" class=\"picture-dashboard-MNIST_CNN_Visualize-7177_input-rotated\" x=\"75.0\" y=\"1305\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1407.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1407.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1290\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1290) translate(2)\" >1</text><text x=\"273.0\" y=\"1520\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1520) translate(2)\" >0</text><text x=\"18\" y=\"765.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 765.0) translate(2)\" >MNIST_CNN_Visualize</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature0\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature1\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature2\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature3\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature4\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAJEAAH8AAK8AAPAAAM8AAPfo7wIC9P81Nf9ZWf+ZmRcX/5eX//8lJf+mpnh4/7W1//8WFv94eElJ/1dX///Kyv/V1QAA2yAg/4GB/6Ki//9HR/z7/j09/2lp//9tbf+IiAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhwIiSoxIoCKBARgHINiIIIHHBAVCFnhA8sGCkwseqHyQoWUGDDAxOJjpIIPNDAVyFvjA88OAnwMECBUAoKjRo0gBEFhKAIFTBBWiVnBA1YGBqwYsaLVgoKvXrgrCKpBAVkKBswUiqI1woO0BAXAFBJhLt65duwDy6t3Lt6/fAIADCx5MuLDhw4gTEwbAuLHjxwACSJ5MubLly5gzaw4AoLPnz6BDix5NWnSA06hTq1ZNoDWBBrAbFJhdIILtCANyDxDAWwCA38CDCx9OvLjx4wACKF/OvLnz5QOiD/BA3UOD6w0SaE/AoDsDAuAJAP8YT768+fPo06tHH6C9+/fw47sXQF8AgfsEGOhncKD/AYAEBBIAUNDgQYQJFS5cKMChAAIRCQygOKDBxQYLNC6Q0FHCApALGoxsMMDkgAApVa5kGQDAS5gxZc6kKcCmAAI5CQzgOSDBzwQLhC64UPSCAqQKHCx1QMEpBQJRCQSgWtXqVaxZAWzl2tUrAAFhBQwgOwDBWQQF1Bbg0JaDArgKJsydUMBugQF5BwTg29fvX8CBBfsFUNjwYcSJFQdg3NjxY8iRJU+ODMDyZcyZNW/m3NnzZ9CaBYwmPZrAaQIDVK9WfcD1a9cMZDNAUBuBBtwaBuweIMC3AADBhQ8nDkD/wHEBA5QPYNCcAQXoFBZMXzDB+oQL2S8Y4N6duwXwFgyMN9DBfAcM6TE8YP+gwvsKCOQjGFB/AAH8BATsFwDAP0AAAgcSLCiQAEICEBZC0OBQQ4KICTZQrEgxAcYECDYiIOCRAICQAAKQLGnyJMqUKk0CaOnyJUwAAWbSrGnzJs6cOnfyvAngJ9CgQocCDWD0KNKkSpciFeBUAIGoBAZQHSDgqgAAWgEE6BoAANiwYseSLWv2bNkAateybdsWAFwAA+YOKGD3rt0EehNA6AuBAGACAAYTLmz4MOLEihcDCOD4MeTIkh8LqCyAAWYGFDZTiOA5woDQAwSQFgDgNOrU/6pXs27tGrWA2AII0K5NewDuAQd289494PcAAcIFACgOQADy5MgBMG/u/Dn06NKdC6guYAD2ARG2R3jg/YGC8OLDTyg/oQH6BgTWEwjg/j38+PLfA6hv/z5+AAL2CyDgHyABCAMhVDBYwUFCBwYYNmQoAaKEAhMLDLA4IEBGjRs5dvT4EUBIkSNJAhBwUgABlQQGtBwAASaEATMHELBJIEBOnTt59vT58ycAoUOJFjV6NEBSpUuZNnX6FKpTAFOpVrV6FWtWrVu5dvX6FWxYsWPFCjB71iwBtQQGtHXb9kBcuXEZ1GWAAC8CDXs1DPA7QEBgAQAIFzZ8GHFhAYsZL/8m8JjAAMkDEFRGkABzggKbCzzw/GBB6AUPSD/IcDoDBtUYHLR2kAF2hgKzC3yw/WFA7gECeAsA8Bt4cOEABBQXMAD5AAbLGVBwTmFB9AUTqE+4cP2CAe3btVvwbsFAeAMdyHfAcB7DA/UPKrSvgAA+ggHzBxCwT0BAfgEA+Pf3DxCAwIEECRgkgCAhggoMKzh46MCARAMWKlowgDEjRgUcFUj4KKGAyAIRSkY4gPKAgJUCArh8CTNmTAA0a9q8eZOATgIQekLQAFRDgqEJNhg9ajSB0gQImiIgAJUAgKkAAli9ijWr1q1csQL4Cjas2LFgA5g9izat2rVs27p9qxb/gNy5dOsCCIA3r969fPv6/Qs4MF8AhAsbPoy4cIDFjBs7fgw5suTJAQBYvow5s+bNnDEH+Aw6tOjRpEMLOC2AgGoCA1oPEABbAIDZAALYDgAgt+7dvHv7/g3cd4DhxIsbN04gOYEGzBsUeF4ggvQIA6oPEIBdAIDt3Lt7/w4+vHjwAcqbP48ePYD1AAa4H1Agvvz4CeongIAfAoH9BAD4BwhA4ECCBQ0eRJiQYACGDR0+hNhwwMQBHix6aJCxQQKOCRh8ZEBAJAEAJU2eRJlS5UqWKgO8hBlT5kyYAmwKYJCTAQWeFCL8jDBA6AABRQUAQJpU6VKmTZ0+TRpA6lSq/1WtThWQVQABrgQYfGVwQOwBAmUJAECbVu1atm3dvm0rQK4AAnXt1h2Qd8ABvn35DgA8QMBgAQAMAxCQWHFiAI0dP4YcWfLkyQIsCyCQmcAAzgMafG6wQPQCCaUlLEC9oMHqBgNcDwgQW/Zs2gEA3MadW/du3r1zCwAuYMDwARGMR3iQ/IEC5s2ZT4A+ocH0BgSsEwiQXft27t21AwAfXvx48uEFnBdAQD2BAe0HJICfYMH8BRfsX1CQX4ED/g4oAKQgkABBAgEOIkyocCFDAA4fQowYUQBFAQQuEoCgEUKFjhUcgHRgYCTJkRJOSiigssCAlgMCwIwpcybNmjYB4P/MqXMnAAE+BQwIOgABUQQFjhbgoJSDgqYKJkCdUGBqgQFWBwTIqnUr165ev24FIHYs2bJlBaAVQGAtgQFuB0CIC2EA3QEE7hIIoHcv375+/wIGDGAw4cKGDyNOHGAx48aOH0OOLBkygMqWL2POrHlzgM6eP4MOLXo0adEATqNOrXo169auX8OOLXs27dq2b+POrXs379YCfgP/TWA4gQHGjxs/oHy5cgbOGSCIjkADdQ0Drg8QoF0AgO7ev4MPL348ee8CzqM/T2A9gQHu37s/IH++fAb2GSDIj0ADfw0DAA4QKICgAAAHESZUuBChAIcPHRKQSGBAxQEIMCJIsDH/QQGPBR6EfLCA5IIHJx9kUJkBQ0sMDmA6yDAzQwGbBT7k/DCA5wABPwUAEDqUaFGjQwUkVZqUQFMCA6AOQDAVQQKrCQpkLfCA64MFXxc8EPsgQ9kMGNBicLDWQQa3GQrELfCB7ocBdwcI0CsAQF+/fwEDEDBYwADDAxgkZkCBMYUFjxdMkDzhQuULBjBnxmyBswUDnw10EN0BQ2kMD1A/qLC6AgLXCAbEHkCANgEBtwUA0L2bd+/eAoALGDB8AAPjDCgkp7CA+YIJzydckH7BQHXr1S1kt2CAu4EO3ztgEI/hQfkHFdBXQLAewQD3AwjEJyCAvgAA9/Hn16+fQH8C/wARCERQoWAFBwgdGFhowIJDCwYiSoyooKICCRglFNhYIILHCAdCHhBAUkCAkyhTqlQJoKXLlzBhEphJAIFNBBVyVnDA04GBnwYsCLVgoKjRogqSKpDAVEKBpwUiSI1woOoBAVgFBNjKtatXrwDCih1LliyBswQgqIWgoa2GBHATbJhLd26CuwkQ6EVAoC8BAIABBBhMuLDhw4gTFwbAuLHjxwAISCYAoTIEDZg1JNicYIPnz54TiE6AoDQCAqgJAFgNIIDr17Bjy55NGzaA27hz696NO4Dv38CDCx9OvLjx48IBKF/OvLnz5QGiS59Ovbr169iza68OoLv37+ABBP8YT768+fPo06tfz/48gPfw48ufDz+A/fv48+vfz7+/f4ABBA4kWFAgAIQJFS5kmDDAQ4gRJU6kWNHixQAANG7k2NHjR5AcA4wkWdLkSZQpVa4MAMDlS5gxZc6kCTPATZw5de7kmVPATwEEhBIYUHSAAKQCACwFEMBpAABRpU6lWtXq1akBtG7l2tXrV64CxAogUJbAALQDBKwVAMAtgABxAwCgW9fuXbx59e7NG8DvX8CBAxMgTKDB4QYFFBeI0DjCAMgDBEwWAMDyZcyZNW/m3HlzANChRY8eTcA0gQapGxRgXSDC6wgDZA8QUFsAANy5de/m3dv3794BhA8nXrz/OADkAAYsH1DA+XPnCaQngFAdAgHsBABs597d+3fw4cVzD1De/Hn06AGsBzDA/YAC8eXHT1A/AQT8EAjsJwDAP0AAAgcSLGjwIMKEBAMwbOjwIcSGAyYO8GDRQ4OMDRJwTMDgIwMCIgkAKGnyJMqUKleyNBngJcyYMmfCHGBzgIecHhrwbJDgZwIGQhkQKEoAANKkSpcyber0adMAUqdSrWp1qoCsAhhwZUDhK4UIYiMMKDtAAFoBANaybev2Ldy4ctkGqGv3Lt68dgXwFcDgLwMKgilEKBxhAOIBAhYLAOD4MeTIkidTrvw4AObMmjdzzizgswACogkwKM3gAOoD/wRWEwDg+jXs2LJn0649OwDu3Lp3884t4LcAAsIJMCjO4ADyAwSWEwDg/Dn06NKnU68+XQB2AQS2c98+4PuAA+LHix9gfoCA9AIAsAcg4D389wDm069v/z7+/PrxC+gvACABgQMFDjA44EBChQkHNBwgAKIAABMBCLB40SIAjRs5dvT4ESRIASMFEDBJYEDKAQ1YNljwcoEEmRIW1FzQAGeDATsHBPD5E2jQAACIFjV6FGlSpUoFNBVAACqBAVMHNLDaYEHWBRK4SljwdUEDsQ0GlB0QAG1atWsDAHD7Fm5cuXPpwhVwV8AAvQMi9I3wAPADBYMJD55weEIDxQ0INP8mEAByZMmTKUcGcBlzZs2bOXcW8FnAANEDIpSO8AD1AwWrWa+e8HpCA9kNCNQmEAB3bt27eecG8Bt4cOHDgQswLoBAcgIDmA9I8DzBAukLLlS/oAC7AgfbHVDwToFAeAIByJc3fx59egDr2bd3/x6+APkCCNQnMAD/gAT7EyzwD3DBhYEXFBhU4CChAwoMKRB4SCCAxIkUK1q8CCCjxo0cOQr4KICASAIQSkKogLKCg5UODLh86VKCTAkFahYYgHNAgJ08e/r8CTQogKFEixo1KiCpAAJMCUB4CqGC1AoOqjowgDUrVglcJRT4WmCA2AEBypo9izat2rUA2rp9Cxf/gIC5AgbYHYAgL4ICfAtw+MtBgWAFEwpPKIC4wIDFAwI4fgw5suTJlCEDuIw5s2bNAjoLGAB6AILRCAqYLsAhNQcFrBVMeD2hgOwCA2oPCIA7t+7dvHv71g0guPDhxIkLOC6AgHICA5oPgAAdwoDpAwhYJxAgu/bt3Lt7//4dgPjx5MubPy8gvQAC7AkMeD8AgnwIA+oPIICfQID9/Pv7BxhA4ECCBQ0eDABA4UKGDR0+hBhA4kSKFS1exJjxIgCOHT1+BBlSpMgAJU2eRJlS5UqWKgG8hBlT5kyaNQPcxJlT506ePX3yBBBU6FCiRY0ePRpA6VKmTZ0+hRr1KQCqCVWtXsWaVavWgAA7\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature5\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature6\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAH8AAI4AAKkAANUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhwgDSJxIsWJFARgFBNjIcSOAjwACiAwgoKSAACgDAFjJsqXLlzBjBphJcyaAmwAC6NzJs6fPnQKCCghANACAo0iTHhXAVECApwEASJ1KtarVq1gFaN3KtasAAGDDih0LIIDZAADSql3Ltq3bt3DjshVAVwCAu3jvBtgbQIBfAQACCx5MuLDhw4gTK16cOIDjAAMiDwhAOQCAy5gza97MubPnz6BDixYdoHQAAKhTq17NurXr17Bjy0YdoLbt2gByAwjAOwCA38CDCx9OvLjx48iHB1jOvLlz5wKiCxhAfYCA6wIAaN/Ovbv37+DBB/8YT768efMA0gMIwD6AgPfw3weYT7/+fAD48+vfz7+/f4ABBA4UCMDgQYMBFC5kqFDAQ4gPA0wMAMDiRYwZNW7k2NFjxwAhAwggWZJkAJQBAKxk2dLlS5gxZc6kWdPmTZw5A+zk2XMnAKBBhQ4lWtRoAKRJlS5l2tSpUwBRpU6NGsBqAABZtW7l2tXr160BxI4lK1bAWQEB1AYA0NZt2wBxAwigKwDAXbx59QII0DcAAMCBBQ8mXNiwYAGJBQRgHADAYwABJE+WDMDyZcyZNW/m3NnzZ9CeBYwWMMD0AACpVa9m3dr1a9ixZc+mDSDAbdy3Aezm3dv3b+DBhQ8nXtz/uPEAyQMAYN7c+XPo0aVPp16degDs2bEL4C4gwHfw4cUHAFDe/Hn06dWvZ98eQAD48eXDB1AfQAD8+fEL4N/fP0ABAgIQDADgIMKEChcybBjgIcSIEgMAqGixYoCMAQRw7OiRY4CQAQCQLGnyJMqUKleyXBngJcyYMmUCqGnzJs6cOnfy7MkzANAAAoYKCGA0AICkSpcyber0KdSoUqdSrWr1KtasWrdyhRrgK9iwXwGQLWv2LNq0ateWDeD2Ldy4cQXQFRDgLt67APYCCOA3gIDAAgIQDgDgMOLEihczbhzgMeTIkidTrlwZAObMmjEH6BwAAOjQokeTLm06AOrU/6gBsAYQ4DXs2LJnwxZgW0CA3AEA8O7tm7eA4AICEA8A4Djy5MqXM28e4Dn06M8FUBcQ4HoAANq3aw/gPYCA8AIAkC9v/jyAAOoDAGjv/j38+PLnvxdg/z7+/AIA8O/vHyAAgQMDFAwAAGFChQsZNnT4EOJCARMFBLAYAEBGAAE4duQIAGRIkSNJljR5EmVKlAJYCgDwEubLADMDCLApAEBOnTt59vT5E2hQoUODCjAqYEDSAQCYNnX6FGpUqVOpVrVKNUDWAAO4DgjwNQAAsWPJljV7Fm1atWvZqg3wFu5bAHPp1rV7F29evXv59vXrN0DgAAAIFzZ8GHFixYsZN/92/BhAAMkBAFS2fBlzZs2bOXf2/LlyANGjRQMwDSBA6gAAWLd2/Rp2bNmzademHQB3btwCeAsI8Bt4cOEBABQ3fhx5cuXLmTdnHgB6dOnTpwuwLmBA9gECuAsA8B18ePHjyZc3fx5AAPXr2asH8B5AAPnz5Quwfx+//QD7AwDwDxCAwIEECxo8iLBggIUMGzp0CCAigAAUAwi4iPFigI0cO24EADKkyJEkS5oUGSClypUsAwB4CfNlgJkBBNi8idNmgJ0BAPj8CTSo0KFEi/4MgDQpUgBMmzINADWqVKgCqlqtGiBrAABcu3r9Cjas2LFky4INgDat2rVrAbh9Czf/rty5dOvaves2gN4AAvr67RsgcAAAhAsbPow4seLFjBszDgA5gIDJAgJYDgAgs+bNnDt7/gw6tOjRpEubPo06terVrFu7fg1bdIDZtGvPBoA7t+7dvHv7/g08uHDeAYobP14cgPLlzJs7fw49+vIA1Ktbv35dgHYBAbp77w4gPIAA5AMIOC8ggPoAANq7fw8/vvz59N0HuI8/v379AvoLABhA4ECBAAwCCJAwgACGAgI8DABA4kSKFS1exBhA40aOHT1+BAkSwEiSJUcGQBkAwEqWLV2+hBkzwEyaNW3exJkzJwCePX3yDBA0AACiRY0eRZpUaQCmTZkCgAogwFSq/1WtXqUqQKuAAF0DAAAbVixYAWUFBEAbAMBatm3dvoXbNsBcunMB3AUQQO9evn397hUQWEAAwgEAHEac+LAAxgICPA4AQPJkypUtX8YcQPNmzpoFfBYQQHQAAKVNlw6QOoAA1gIAvIYdWzaAALUDAMCdW/du3r196w4QXPjw4AKMCwiQPAAA5s2ZB4AeQMB0AQCsX8eeHUAA7gEAfAcfXvx48uXDC0CfXv16AQDcv4cfH0AA+gEA3MefX/9+/v39AwQgcCDBggIOIkyoUACAhg4fQgQQYGIAABYvYsyocSPHjh4zCggpIADJAABOAgigcqVKAC5fwowpcybNmjZv2v8UoFNAgJ4BAAAFEGAo0aEAjiJNqnQp06ZOn0J9KmCqAABWr1oNoDWAgK4CAIANK3Ys2bJmz6JNi1YAWwEA3sJ9G2BuAAF2BQDIq3cv375+/wIOLHhwYAGGBQxIPAAA48aOH0OOLHky5cqWKQvILGAA5wEAPoMOLXo06dKmT6NOfToA6wADXg8IIDsAgNq2b+POrXs3796+f+cOIDzAgOIDAiAPAGA58+bOn0OPLn069erTA2DPjh0A9+7ev4MPL348+fLmyQdIrz49gPbu38OPL38+/fr27+PHH2B/AAD+AQIQOJBgQYMHESZUuJDhwgAPAwCQOJFiRYsXMWbUuJH/Y0cAAUAGADCSZEmTJ1GmVLmSZUuXAALEDACAZk2bN3Hm1LmTZ0+fNAMEFRoUQFEAAZAGALCUaVOnT6FGlTqVatWlAbBmxQqAK4AAXwMAEDuWbFmzZ9GmVbtWbQC3b90KkCsgQF27d/EGALCXb1+/fwEHFjyY8N4AhxEfFrBYQADHjyFHDgCAcmXLlzFn1ryZ8+YAn0GHFi1aQGkBA1APELBaAADXr2HHlj2bdm3btQPk1r2bN28BvwUMED5AQHEBAJAnV76ceXPnz6EDCDCdevXpALADCLCd+3YB38GH/x6AfAAA59GnV7+efXv37wEEkD+fvnwA9wEE0L9fvwD//wAFCBw4MIDBAAASKlzIsKHDhw8DSJxIsWJFABgBBNgYQIDHjx4DiBxJUiSAkyhTqlzJsqVLlAFiypxJkyaAmwAC6AwgoKfPngGCCh0aFIDRo0iTKl3KFGmAp1CjSg0AoKrVqgGyBhDAtatXrgHCBgBAtqzZs2jTql2bNoDbt3DjBgBAty7dAHgDCNjLt+/eAIADABhMuLDhw4gTKyYcoLHjxgAiS44coLLly5UFaN6sOYDnAABCix5NurTp06hTAwjAujVrALBjww5Au7Zt2gJy684doHcAAMCDCx9OvLjx48iTEw/AvLnz588BSJ9Ovbr169iza9+uPYD37+DDh3gHQL68+fPo06tfz749+QDwAwiYT39+gPsBAOjfz7+/f4AABA4kWNDgQYQJFRIM0DCAAIgRIQagGADARYwZNW7k2NHjR5AfA4wMIMCkgAApAwBg2dLlS5gxZc6kWdMmzAA5AwjgKSDAzwAAhA4lWtToUaRJlS5VGhAAOw==\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature7\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature8\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature9\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature10\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature11\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature12\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature13\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature14\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_Visualize_conv2D_1_feature15\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
      }
     },
     "728a38f3997f4020a4c5e6d95160ab42": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_85bc654c3d814e50ac67d5f84038a9af",
       "max": 59999,
       "style": "IPY_MODEL_ce3a733f6354413ab5fbdf7d0b3d5f98"
      }
     },
     "72b9e5907d62434fb5b6ae9172ba1a4b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "72d661bd60d8415dbfc640611df5ad8f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "72f9aeccb11b47fea6c8090afc5f7927": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "73220e6e6b8d4884a4535086dd789625": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "7340a8d27f7c45308f8515d3f5e7a818": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "734878e257a94a4eb2a58b9b90dacb91": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_44411408c6f4488caae982ac086306f2",
       "max": 59999,
       "style": "IPY_MODEL_a1e53fb6971848c79b6e61b3ad2802b5"
      }
     },
     "737c4886ffcf447d913b667123da685e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "73ca4058419e4173b6aa796b66419f79": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "73d661f9e6464d53b77563bd1e170d5b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100px"
      }
     },
     "73e08eca16984a57a4f68a2807e0705a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "73e4ab6486dc4b20aba86f76a6491343": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "73f5af0414ef4bb4be6e6cdb8effbd23": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "SelectModel",
      "state": {
       "_options_labels": [
        "input",
        "conv2D_1",
        "maxpool1",
        "conv2D_2",
        "maxpool2",
        "flat",
        "hidden",
        "output"
       ],
       "description": "Layer:",
       "index": 7,
       "layout": "IPY_MODEL_31c51be22f7444689554d36c6dba2b50",
       "rows": 1,
       "style": "IPY_MODEL_126f50d90c2048b68619517d00e18846"
      }
     },
     "73fe6b9d05e74f79b49d9785a74aa4d5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntTextModel",
      "state": {
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output (output)\n output range: (-1.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-494255_output-rotated_16\" class=\"picture-dashboard-MNIST_MLP-494255_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (-1.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden2 to output\n output/kernel:0 has shape (30, 10)\n output/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-494255_hidden2-rotated_17\" class=\"picture-dashboard-MNIST_MLP-494255_hidden2-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAP79/QAA6S0t/1VV/2Fh/3Fx/52d/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIGQABACAAYACAgwEAGADAsKFDAQUASJwIICAAOw==\"><title>Layer: hidden2 (hidden)\n output range: (-1.0, 1.0)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden2</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden1 to hidden2\n hidden2/kernel:0 has shape (30, 30)\n hidden2/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-494255_hidden1-rotated_18\" class=\"picture-dashboard-MNIST_MLP-494255_hidden1-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAP38/ebm/7S0/wAA1nl5/9fX/wAAYAAA/BAQ/01N/5mZ/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIIwABCEwQAACAAAIMEBAwIAAABQgIFABQQMAAAAACAABwAEBAADs=\"><title>Layer: hidden1 (hidden)\n output range: (-1.0, 1.0)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >hidden1</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat_input to hidden1\n hidden1/kernel:0 has shape (784, 30)\n hidden1/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-494255_flat_input-rotated_19\" class=\"picture-dashboard-MNIST_MLP-494255_flat_input-rotated\" x=\"75.0\" y=\"325\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat_input (hidden)\n output range: (0.0, 1.0)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"352.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 352.0) translate(2)\" >flat_input</text><line x1=\"175.0\" y1=\"404\" x2=\"175.0\" y2=\"377\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to flat_input</title></line><rect x=\"74.0\" y=\"404\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-494255_input-rotated_20\" class=\"picture-dashboard-MNIST_MLP-494255_input-rotated\" x=\"75.0\" y=\"405\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"507.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 507.0) translate(2)\" >input</text><text x=\"88.0\" y=\"390\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 390) translate(2)\" >1</text><text x=\"273.0\" y=\"620\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 620) translate(2)\" >0</text><text x=\"18\" y=\"315.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 315.0) translate(2)\" >MNIST_MLP</text></svg></g></svg></p>"
      }
     },
     "95c557884fdd48b7b15a07948a51c338": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "10%"
      }
     },
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output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_output-rotated_1\" class=\"picture-dashboard-MNIST_CNN-935832_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output/kernel has shape (30, 10)\n output/bias has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_hidden-rotated_2\" class=\"picture-dashboard-MNIST_CNN-935832_hidden-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAPT5/tjn9OPt9wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIGgADABgYAIAAAAgRBgAgAIDDhw4FBABAkWJAADs=\"><title>Layer: hidden (hidden)\n output range: (0.0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden/kernel has shape (512, 30)\n hidden/bias has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_flat-rotated_3\" class=\"picture-dashboard-MNIST_CNN-935832_flat-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_maxpool2-rotated_4\" class=\"picture-dashboard-MNIST_CNN-935832_maxpool2-rotated\" x=\"75.0\" y=\"325\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"427.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 427.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"310\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 310) translate(2)\" >32</text><text x=\"273.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 540) translate(2)\" >0</text><line x1=\"175.0\" y1=\"554\" x2=\"175.0\" y2=\"527\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"554\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_conv2D_2-rotated_5\" class=\"picture-dashboard-MNIST_CNN-935832_conv2D_2-rotated\" x=\"75.0\" y=\"555\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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AAGbSrGnzJk4AAQIA6OnzJ9CgQgEECADgKNKkSpcyBRAgAICoUqdSrWoVQIAAALZy7er1K1gAAQIAKGv2LNq0agEECADgLdy4cufSBRAgAIC8evfy7esXQIAAAAYTLmz4MGIAAQIAaOz4MeTIkgEECADgMubMmjdzBhAgAIDQokeTLm0aQIAA/wBWs27t+jVsAAECAKht+zbu3LoBBAgA4Dfw4MKHEwcQIACA5MqXM2/uHECAAACmU69u/Tp2AAECAOju/Tv48OIBBAgA4Dz69OrXswcQIACA+PLn069vH0CAAAD28+/vHyAAgQMJEgwQAEBChQsZNnQIIEAAABMpVrR4ESOAAAEAdPT4EWRIkQACBABwEmVKlStZAggQAEBMmTNp1rQJIEAAADt59vT5EyiAAAEAFDV6FGlSpQACBADwFGpUqVOpAggQAEBWrVu5dvUKIEAAAGPJljV7Fi2AAAEAtHX7Fm5cuQACBABwF29evXv5AggQAEBgwYMJFzYMIEAAAIsZN/92/BgygAABAFS2fBlzZs0AAgQA8Bl0aNGjSQMIEABAatWrWbd2DSBAAACzade2fRs3gAABAPT2/Rt4cOEAAgQAcBx5cuXLmQMIEABAdOnTqVe3DiBAAADbuXf3/h08gAABAJQ3fx59evUAAgQA8B5+fPnz6QMIEABAfv37+ff3DxBAgAAACho8iDChQgABAgB4CDGixIkUAQQIACCjxo0cO3oEECAAgJEkS5o8iRJAgAAAWrp8CTOmTAABAgC4iTOnzp08AQQIACCo0KFEixoFECAAgKVMmzp9ChVAgAAAqlq9ijWrVgABAgD4Cjas2LFkAQQIACCt2rVs27oFECD/AIC5dOvavYsXQIAAAPr6/Qs4sGAAAQIAOIw4seLFjAEECAAgsuTJlCtbBhAgAIDNnDt7/gwaQIAAAEqbPo06tWoAAQIAeA07tuzZtAEECAAgt+7dvHv7BhAgAIDhxIsbP44cQIDlzJs7fw49uvTp1Ktbv449u/bt3Lt75w4gvPjx5MubBxAgAID17Nu7fw8fQIAAAOrbv48/v34AAQIAAAhA4ECCBQ0eDBAAwEKGDR0+hAggQAAAFS1exJhRI4AAAQB8BBlS5EiSAAIEAJBS5UqWLV0CCBAAwEyaNW3exAkgQAAAPX3+BBpUKIAAAQAcRZpU6VKmAAIEABBV6lSq/1WtAggQAMBWrl29fgULIEAAAGXNnkWbVi2AAAEAvIUbV+5cugACBACQV+9evn39AggQAMBgwoUNH0YMIEAAAI0dP4YcWTKAAAEAXMacWfNmzgACBAAQWvRo0qVNAwgQAMBq1q1dv4YNIEAAALVt38adWzeAAAEA/AYeXPhw4gACBACQXPly5s2dAwgQXfp06tWtX8eeXft27t29fwcfXvx48uIBnEefXv169gACBAAQX/58+vXtAwgQAMB+/v39AwQgcCBBggECAEiocCHDhg4BBAgAYCLFihYvYgQQIACAjh4/ggwpEkCAAABOokypciVLAAECAIgpcybNmjYBBP8IAGAnz54+fwIFECAAgKJGjyJNqhRAgAAAnkKNKnUqVQABAgDIqnUr165eAQQIAGAs2bJmz6IFECAAgLZu38KNKxdAgAAA7uLNq3cvXwABAgAILHgw4cKGAQQIAGAx48aOH0MGECAAgMqWL2POrBlAgAAAPoMOLXo0aQABAgBIrXo169auAQQIAGA27dq2b+MGECAAgN6+fwMPLhxAgAAAjiNPrnw5cwABAgCILn069erWAQQIAGA79+7ev4MHECAAgPLmz6NPrx5AgAAA3sOPL38+fQABAgDIr38///7+AQIIEABAQYMHESZUCCBAAAAPIUaUOJEigAABAGTUuJH/Y0ePAAIEADCSZEmTJ1ECCBAAQEuXL2HGlAkgQAAAN3Hm1LmTJ4AAAQAEFTqUaFGjAAIEALCUaVOnT6ECCBAAQFWrV7Fm1QogQAAAX8GGFTuWLIAAAQCkVbuWbVu3AAIEADCXbl27d/ECCBAAQF+/fwEHFgwgQAAAhxEnVryYMYAAAQBEljyZcmXLAAIEALCZc2fPn0EDCBAAQGnTp1GnVg0gQAAAr2HHlj2bNoAAAQDk1r2bd2/fAAIEADCceHHjx5EDCBAAQHPnz6FHlw4gQAAA17Fn176dO4AAAQCEFz+efHnzAAIEALCefXv37+EDCBAAQH379/Hn1w8gQAAA/wABCBxIsKDBgwECAFjIsKHDhxABBAgAoKLFixgzagQQIACAjyBDihxJEkCAAABSqlzJsqVLAAECAJhJs6bNmzgBBAgAoKfPn0CDCgUQIACAo0iTKl3KFECAAACiSp1KtapVAAECANjKtavXr2ABBAgAoKzZs2jTqgUQIACAt3Djyp1LF0CAAADy6t3Lt69fAAECABhMuLDhw4gBBAgAoLHjx5AjSwYQIACAy5gza97MGUCAAABCix5NurRpAAECAFjNurXr17ABBAgAoLbt27hz6wYQIACA38CDCx9OHECAAACSK1/OvLlzAAECAJhOvbr169gBBAgAoLv37+DDi/8HECAAgPPo06tfzx5AgAAA4sufT7++fQABAgDYz7+/f4AABA4kSDBAAAAJFS5k2NAhgAABAEykWNHiRYwAAgQA0NHjR5AhRQIIEADASZQpVa5kCSBAAAAxZc6kWdMmgAABAOzk2dPnT6AAAgQAUNToUaRJlQIIEADAU6hRpU6lCiBAAABZtW7l2tUrgAABAIwlW9bsWbQAAgQA0NbtW7hx5QIIEADAXbx59e7lCyBAAACBBQ8mXNgwgAABACxm3NjxY8gAAgQAUNnyZcyZNQMIEADAZ9ChRY8mDSBAAACpVa9m3do1gAABAMymXdv2bdwAAgQA0Nv3b+DBhQMIEAD/wHHkyZUvZw4gQAAA0aVPp17dOoAAAQBs597d+3fwAAIEAFDe/Hn06dUDCBAAwHv48eXPpw8gQAAA+fXv59/fP0AAAQIAKGjwIMKECgEECADgIcSIEidSBBAgAICMGjdy7OgRQIAAAEaSLGnyJEoAAQIAaOnyJcyYMgEECADgJs6cOnfyBBAgAICgQocSLWoUQIAAAJYyber0KVQAAQIAqGr1KtasWgEECADgK9iwYseSBRAgAIC0ateybesWQIAAAObSrWv3Ll4AAQIA6Ov3L+DAggEECADgMOLEihczBhAgAIDIkidTrmwZQIAAADZz7uz5M2gAAQIAKG36NOrU/6oBBAgA4DXs2LJn0wYQIACA3Lp38+7tG0CAAACGEy9u/DhyAAECAGju/Dn06NIBBAgA4Dr27Nq3cwcQIACA8OLHky9vHkCAAADWs2/v/j18AAECAKhv/z7+/PoBBAgAACAAgQMJFjR4MEAAAAsZNnT4ECKAAAEAVLR4EWNGjQACBADwEWRIkSNJAggQAEBKlStZtnQJIEAAADNp1rR5EyeAAAEA9PT5E2hQoQACBABwFGlSpUuZAggQAEBUqVOpVrUKIEAAAFu5dvX6FSyAAAEAlDV7Fm1atQACBADwFm5cuXPpAggQAEBevXv59vULIEAAAIMJFzZ8GDGAAAEANP92/BhyZMkAAgQAcBlzZs2bOQMIEABAaNGjSZc2DSBAAACrWbd2/Ro2gAABANS2fRt3bt0AAgQA8Bt4cOHDiQMIEABAcuXLmTd3DiBAAADTqVe3fh07gAABAHT3/h18ePEAAgQAcB59evXr2QMIEABAfPnz6de3DyBAAAD7+ff3DxCAwIEECQYIACChwoUMGzoEECAAgIkUK1q8iBFAgAAAOnr8CDKkSAABAgA4iTKlypUsAQQIACCmzJk0a9oEECAAgJ08e/r8CRRAgAAAiho9ijSpUgABAgB4CjWq1KlUAQQIACCr1q1cu3oFECAAgLFky5o9ixZAgAAA2rp9Czf/rlwAAQIAuIs3r969fAEECAAgsODBhAsbBhAgAIDFjBs7fgwZQIAAACpbvow5s2YAAQIA+Aw6tOjRpAEECAAgterVrFu7BhAgAIDZtGvbvo0bQIAAAHr7/g08uHAAAQIAOI48ufLlzAEECAAguvTp1KtbBxAgu/bt3Lt7/w4+vPjx5MubP48+vfr17NUDeA8/vvz59AEECAAgv/79/Pv7BwggQAAABQ0eRJhQIYAAAQA8hBhR4kSKAAIEAJBR40aOHT0CCBAAwEiSJU2eRAkgQAAALV2+hBlTJoAAAQDcxJlT506eAAIEABBU6FCiRY0CCBAAwFKmTZ0+hQogQAAA/1WtXsWaVSuAAAEAfAUbVuxYsgACBACQVu1atm3dAggQAMBcunXt3sULIEAAAH39/gUcWDCAAAEAHEacWPFixgACBAAQWfJkypUtAwgQAMBmzp09fwYNIEAAAKVNn0adWjWAAAEAvIYdW/Zs2gACBACQW/du3r19AwgQAMBw4sWNH0cOIEAAAM2dP4ceXTqAAAEAXMeeXft27gACBAAQXvx48uXNAwgQAMB69u3dv4cPIEAAAPXt38efXz+AAAEAAAQgcCDBggYPBggAYCHDhg4fQgQQIACAihYvYsyoEUCAAAA+ggwpciRJAAECAEipciXLli4BBAgAYCbNmjZv4v8EECAAgJ4+fwINKhRAgAAAjiJNqnQpUwABAgCIKnUq1apWAQQIAGAr165ev4IFECAAgLJmz6JNqxZAgAAA3sKNK3cuXQABAgDIq3cv375+AQQIAGAw4cKGDyMGECAAgMaOH0OOLBlAgAAALmPOrHkzZwABAgAILXo06dKmAQQIAGA169auX8MGECAAgNq2b+POrRtAgAAAfgMPLnw4cQABAgBIrnw58+bOAQQIAGA69erWr2MHECAAgO7ev4MPLx5AgAAAzqNPr349ewABAgCIL38+/fr2AQQIAGA///7+AQIQOJAgwQABACRUuJBhQ4cAAgQAMJFiRYsXMQIIEAD/QEePH0GGFAkgQEmTJ1GmVLmSZUuXL2HGlDmTZk2bN3HaBLCTZ0+fP4ECCBAAQFGjR5EmVQogQAAAT6FGlTqVKoAAAQBk1bqVa1evAAIEADCWbFmzZ9ECCBAAQFu3b+HGlQsgQAAAd/Hm1buXL4AAAQAEFjyYcGHDAAIEALCYcWPHjyEDCBAAQGXLlzFn1gwgQAAAn0GHFj2aNIAAAQCkVr2adWvXAAIEADCbdm3bt3EDCBAAQG/fv4EHFw4gQAAAx5EnV76cOYAAAQBElz6denXrAAIEALCde3fv38EDCBAAQHnz59GnVw8gQAAA7+HHlz+fPoAAAQDk17+ff3///wABBAgAoKDBgwgTKgQQIACAhxAjSpxIEUCAAAAyatzIsaNHAAECABhJsqTJkygBBAgAoKXLlzBjygQQIACAmzhz6tzJE0CAAACCCh1KtKhRAAECAFjKtKnTp1ABBAgAoKrVq1izagUQIACAr2DDih1LFkCAAADSql3Ltq1bAAECAJhLt67du3gBBAgAoK/fv4ADCwYQIACAw4gTK17MGECAAAAiS55MubJlAAECANjMubPnz6ABBAgAoLTp06hTqwYQIACA17Bjy55NG0CAAABy697Nu7dvAAECABhOvLjx48gBBAgAoLnz59CjSwcQIACA69iza9/OHUCAAADCi/8fT768eQABAgBYz769+/fwAQQIAKC+/fv48+sHECAAAIAABA4kWNDgwQABACxk2NDhQ4gAAgQAUNHiRYwZNQIIEADAR5AhRY4kCSBAAAApVa5k2dIlgAABAMykWdPmTZwAAgQA0NPnT6BBhQIIEADAUaRJlS5lCiBAAABRpU6lWtUqgAABAGzl2tXrV7AAAgQAUNbsWbRp1QIIEADAW7hx5c6lCyBAAAB59e7l29cvgAABAAwmXNjwYcQAAgQA0NjxY8iRJQMIEADAZcyZNW/mDCBAAAChRY8mXdo0gAABAKxm3dr1a9gAAgQAUNv2bdy5dQMIEADAb+DBhQ8nDiD/QAAAyZUvZ97cOYAAAQBMp17d+nXsAAIEANDd+3fw4cUDCBAAwHn06dWvZw8gQAAA8eXPp1/fPoAAAQDs59/fP0AAAgcSJBggAICEChcybOgQQIAAACZSrGjxIkYAAQIA6OjxI8iQIgEECADgJMqUKleyBBAgAICYMmfSrGkTQIAAAHby7OnzJ1AAAQIAKGr0KNKkSgEECADgKdSoUqdSBRAgAICsWrdy7eoVQIAAAMaSLWv2LFoAAQIAaOv2Ldy4cgEECADgLt68evfyBRAgAIDAggcTLmwYQIAAABYzbuz4MWQAAQIAqGz5MubMmgEECADgM+jQokeTBhAgAIDU/6pXs27tGkCAAABm065t+zZuAAECAOjt+zfw4MIBBAgA4Djy5MqXMwcQIACA6NKnU69uHUCAAAC2c+/u/Tt4AAECAChv/jz69OoBBAgA4D38+PLn0wcQIACA/Pr38+/vHyCAAAEAFDR4EGFChQACBADwEGJEiRMpAggQAEBGjRs5dvQIIEAAACNJljR5EiWAAAEAtHT5EmZMmQACBABwE2dOnTt5AggQAEBQoUOJFjUKIEAAAEuZNnX6FCqAAAEAVLV6FWtWrQACBADwFWxYsWPJAggQAEBatWvZtnULIEAAAHPp1rV7Fy+AAAEA9PX7F3BgwQACBABwGHFixYsZA/8IEABAZMmTKVe2DCBAAACbOXf2/Bk0gAABAJQ2fRp1atUAAgQA8Bp2bNmzaQMIEABAbt27eff2DSBAAADDiRc3fhw5gAABADR3/hx6dOkAAgQAcB17du3buQMIEABAePHjyZc3DyBAAADr2bd3/x4+gAABANS3fx9/fv0AAgQAABCAwIEECxo8GCAAgIUMGzp8CBFAgAAAKlq8iDGjRgABAgD4CDKkyJEkAQQIACClypUsW7oEECAAgJk0a9q8iRNAgAAAevr8CTSoUAABAgA4ijSp0qVMAQQIACCq1KlUq1oFECAAgK1cu3r9ChZAgAAAypo9izatWgABAgB4Czf/rty5dAEECAAgr969fPv6BRAgAIDBhAsbPowYQIAAABo7fgw5smQAAQIAuIw5s+bNnAEECAAgtOjRpEubBhAgAIDVrFu7fg0bQIAAAGrbvo07t24AAQIA+A08uPDhxAEECAAgufLlzJs7BxAgAIDp1Ktbv44dQIAAALp7/w4+vHgAAQIAOI8+vfr17AEECAAgvvz59OvbBxAgAID9/Pv7BwhA4ECCBAMEAJBQ4UKGDR0CCBAAwESKFS1exAggQAAAHT1+BBlSJIAAAQCcRJlS5UqWAAIEABBT5kyaNW0CCBAAwE6ePX3+BAogQAAARY0eRZpUKYAAAQA8hRpV6lSq/wACBACQVetWrl29AggQAMBYsmXNnkULIEAAAG3dvoUbVy6AAAEA3MWbV+9evgACBAAQWPBgwoUNAwgQAMBixo0dP4YMIEAAAJUtX8acWTOAAAEAfAYdWvRo0gACBACQWvVq1q1dAwgQAMBs2rVt38YNIEAAAL19/wYeXDiAAAEAHEeeXPly5gACBAAQXfp06tWtAwgQAMB27t29fwcPIEAAAOXNn0efXj2AAAEAvIcfX/58+gACBACQX/9+/v39AwQQIACAggYPIkyoEECAAAAeQowocSJFAAECAMiocSPHjh4BBAgAYCTJkiZPogQQYCXLli5fwowpcybNmjZv4v/MqXMnz54+eQIIKnQo0aJGAQQIAGAp06ZOn0IFECAAgKpWr2LNqhVAgAAAvoINK3YsWQABAgBIq3Yt27ZuAQQIAGAu3bp27+IFECAAgL5+/wIOLBhAgAAADiNOrHgxYwABAgCILHky5cqWAQQIAGAz586eP4MGECAAgNKmT6NOrRpAgAAAXsOOLXs2bQABAgDIrXs3796+AQQIAGA48eLGjyMHECAAgObOn0OPLh1AgAAArmPPrn07dwABAgAIL348+fLmAQQIAGA9+/bu38MHECAAgPr27+PPrx9AgAAAAAIQOJBgQYMHAwQAsJBhQ4cPIQIIEABARYsXMWbUCCD/QAAAH0GGFDmSJIAAAQCkVLmSZUuXAAIEADCTZk2bN3ECCBAAQE+fP4EGFQogQAAAR5EmVbqUKYAAAQBElTqValWrAAIEALCVa1evX8ECCBAAQFmzZ9GmVQsgQAAAb+HGlTuXLoAAAQDk1buXb1+/AAIEADCYcGHDhxEDCBAAQGPHjyFHlgwgQAAAlzFn1ryZM4AAAQCEFj2adGnTAAIEALCadWvXr2EDCBAAQG3bt3Hn1g0gQAAAv4EHFz6cOIAAAQAkV76ceXPnAAIEADCdenXr17EDCBAAQHfv38GHFw8gQAAA59GnV7+ePYAAAQDElz+ffn37AAIEALCff3///wABCBxIkGCAAAASKlzIsKFDAAECAJhIsaLFixgBBAgAoKPHjyBDigQQIACAkyhTqlzJEkCAAABiypxJs6ZNAAECANjJs6fPn0ABBAgAoKjRo0iTKgUQIACAp1CjSp1KFUCAAACyat3KtatXAAECABhLtqzZs2gBBAgAoK3bt3DjygUQoK7du3jz6t3Lt6/fv4ADCx5MuLDhw4gNA1jMuLHjx5ABBAgAoLLly5gzawYQIACAz6BDix5NGkCAAABSq17NurVrAAECAJhNu7bt27gBBAgAoLfv38CDCwcQIACA48iTK1/OHECAAACiS59Ovbp1AAECANjOvbv37+ABBP8IAKC8+fPo06sHECAAgPfw48ufTx9AgAAA8uvfz7+/f4AAAgQAUNDgQYQJFQIIEADAQ4gRJU6kCCBAAAAZNW7k2NEjgAABAIwkWdLkSZQAAgQA0NLlS5gxZQIIEADATZw5de7kCSBAAABBhQ4lWtQogAABACxl2tTpU6gAAgQAUNXqVaxZtQIIEADAV7BhxY4lCyBAAABp1a5l29YtgAABAMylW9fuXbwAAgQA0NfvX8CBBQMIEADAYcSJFS9mDCBAAACRJU+mXNkygAABAGzm3NnzZ9AAAgQAUNr0adSpVQMIEADAa9ixZc+mDSBAAAC5de/m3ds3gAABAAwnXtz/+HHkAAIEANDc+XPo0aUDCBAAwHXs2bVv5w4gQAAA4cWPJ1/ePIAAAQCsZ9/e/Xv4AAIEAFDf/n38+fUDCBAAAEAAAgcSLGjwYIAAABYybOjwIUQAAQIAqGjxIsaMGgEECADgI8iQIkeSBBAgAICUKleybOkSQIAAAGbSrGnzJk4AAQIA6OnzJ9CgQgEECADgKNKkSpcyBRAgAICoUqdSrWoVQIAAALZy7er1K1gAAQIAKGv2LNq0agEECADgLdy4cufSBRAgAIC8evfy7esXQIAAAAYTLmz4MGIAAQIAaOz4MeTIkgEECADgMubMmjdzBhAgAIDQokeTLm0aQIAA/wBWs27t+jVsAAECAKht+zbu3LoBBAgA4Dfw4MKHEwcQIACA5MqXM2/uHECAAACmU69u/Tp2AAECAOju/Tv48OIBBAgA4Dz69OrXswcQIACA+PLn069vH0CAAAD28+/vHyAAgQMJEgwQAEBChQsZNnQIIEAAABMpVrR4ESOAAAEAdPT4EWRIkQACBABwEmVKlStZAggQAEBMmTNp1rQJIEAAADt59vT5EyiAAAEAFDV6FGlSpQACBADwFGpUqVOpAggQAEBWrVu5dvUKIEAAAGPJljV7Fi2AAAEAtHX7Fm5cuQACBABwF29evXv5AggQAEBgwYMJFzYMIEAAAIsZN/92/BgygAABAFS2fBlzZs0AAgQA8Bl0aNGjSQMIEABAatWrWbd2DSBAAACzade2fRs3gAABAPT2/Rt4cOEAAgQAcBx5cuXLmQMIEABAdOnTqVe3DiBAAADbuXf3/h08gAABAJQ3fx59evUAAgQA8B5+fPnz6QMIEABAfv37+ff3DxBAgAAACho8iDChQgABAgB4CDGixIkUAQQIACCjxo0cO3oEECAAgJEkS5o8iRJAgAAAWrp8CTOmTAABAgC4iTOnzp08AQQIACCo0KFEixoFECAAgKVMmzp9ChVAgAAAqlq9ijWrVgABAgD4Cjas2LFkAQQIACCt2rVs27oFECD/AIC5dOvavYsXQIAAAPr6/Qs4sGAAAQIAOIw4seLFjAEECAAgsuTJlCtbBhAgAIDNnDt7/gwaQIAAAEqbPo06tWoAAQIAeA07tuzZtAEECAAgt+7dvHv7BhAgAIDhxIsbP44cQIAAAJo7fw49unQAAQIAuI49u/bt3AEECAAgvPjx5MubBxAgAID17Nu7fw8fQIAAAOrbv48/v34AAQIAAAhA4ECCBQ0eDBAAwEKGDR0+hAggQAAAFS1exJhRI4AAAQB8BBlS5EiSAAIEAJBS5UqWLV0CCBAAwEyaNW3exAkgQAAAPX3+BBpUKIAAAQAcRZpU6VKmAAIEABBV6lSq/1WtAggQAMBWrl29fgULIEAAAGXNnkWbVi2AAAEAvIUbV+5cugACBACQV+9evn39AggQAMBgwoUNH0YMIEAAAI0dP4YcWTKAAAEAXMacWfNmzgACBAAQWvRo0qVNAwgQAMBq1q1dv4YNIEAAALVt38adWzeAAAEA/AYeXPhw4gACBACQXPly5s2dAwgQAMB06tWtX8cOIEAAAN29fwcfXjyAAAEAnEefXv169gACBAAQX/58+vXtAwgQAMB+/v39AwQgcCBBggECAEiocCHDhg4BBAgAYCLFihYvYgQQIACAjh4/ggwpEkCAAABOokypciVLAAECAIgpcybNmjYBBP8IAGAnz54+fwIFECAAgKJGjyJNqhRAgAAAnkKNKnUqVQABAgDIqnUr165eAQQIAGAs2bJmz6IFECAAgLZu38KNKxdAgAAA7uLNq3cvXwABAgAILHgw4cKGAQQIAGAx48aOH0MGECAAgMqWL2POrBlAgAAAPoMOLXo0aQABAgBIrXo169auAQQIAGA27dq2b+MGECAAgN6+fwMPLhxAgAAAjiNPrnw5cwABAgCILn069erWAQQIAGA79+7ev4MHECAAgPLmz6NPrx5AgAAA3sOPL38+fQABAgDIr38///7+AQIIEABAQYMHESZUCCBAAAAPIUaUOJEigAABAGTUuJH/Y0ePAAIEADCSZEmTJ1ECCBAAQEuXL2HGlAkgQAAAN3Hm1LmTJ4AAAQAEFTqUaFGjAAIEALCUaVOnT6ECCBAAQFWrV7Fm1QogQAAAX8GGFTuWLIAAAQCkVbuWbVu3AAIEADCXbl27d/ECCBAAQF+/fwEHFgwgQAAAhxEnVryYMYAAAQBEljyZcmXLAAIEALCZc2fPn0EDCBAAQGnTp1GnVg0gQAAAr2HHlj2bNoAAAQDk1r2bd2/fAAIEADCceHHjx5EDCBAAQHPnz6FHlw4gQAAA17Fn176dO4AAAQCEFz+efHnzAAIEALCefXv37+EDCBAAQH379/Hn1w8gQAAA/wABCBxIsKDBgwECAFjIsKHDhxABBAgAoKLFixgzagQQIACAjyBDihxJEkCAAABSqlzJsqVLAAECAJhJs6bNmzgBBAgAoKfPn0CDCgUQIACAo0iTKl3KFECAAACiSp1KtapVAAECANjKtavXr2ABBAgAoKzZs2jTqgUQIACAt3Djyp1LF0CAAADy6t3Lt69fAAECABhMuLDhw4gBBAgAoLHjx5AjSwYQIACAy5gza97MGUCAAABCix5NurRpAAECAFjNurXr17ABBAgAoLbt27hz6wYQIACA38CDCx9OHECAAACSK1/OvLlzAAECAJhOvbr169gBBAgAoLv37+DDi/8HECAAgPPo06tfzx5AgAAA4sufT7++fQABAgDYz7+/f4AABA4kSDBAAAAJFS5k2NAhgAABAEykWNHiRYwAAgQA0NHjR5AhRQIIEADASZQpVa5kCSBAAAAxZc6kWdMmgAABAOzk2dPnT6AAAgQAUNToUaRJlQIIEADAU6hRpU6lCiBAAABZtW7l2tUrgAABAIwlW9bsWbQAAgQA0NbtW7hx5QIIEADAXbx59e7lCyBAAACBBQ8mXNgwgAABACxm3NjxY8gAAgQAUNnyZcyZNQMIEADAZ9ChRY8mDSBAAACpVa9m3do1gAABAMymXdv2bdwAAgQA0Nv3b+DBhQMIEAD/wHHkyZUvZw4gQAAA0aVPp17dOoAAAQBs597d+3fwAAIEAFDe/Hn06dUDCBAAwHv48eXPpw8gQAAA+fXv59/fP0AAAQYSLGjwIMKEChcybOjwIcSIEidSrGiRIoCMGjdy7OgRQIAAAEaSLGnyJEoAAQIAaOnyJcyYMgEECADgJs6cOnfyBBAgAICgQocSLWoUQIAAAJYyber0KVQAAQIAqGr1KtasWgEECADgK9iwYseSBRAgAIC0ateybesWQIAAAObSrWv3Ll4AAQIA6Ov3L+DAggEECADgMOLEihczBhAgAIDIkidTrmwZQIAAADZz7uz5M2gAAQIAKG36NOrU/6oBBAgA4DXs2LJn0wYQIACA3Lp38+7tG0CAAACGEy9u/DhyAAECAGju/Dn06NIBBAgA4Dr27Nq3cwcQIACA8OLHky9vHkCAAADWs2/v/j18AAECAKhv/z7+/PoBBAgAACAAgQMJFjR4MEAAAAsZNnT4ECKAAAEAVLR4EWNGjQACBADwEWRIkSNJAggQAEBKlStZtnQJIEAAADNp1rR5EyeAAAEA9PT5E2hQoQACBABwFGlSpUuZAggQAEBUqVOpVrUKIEAAAFu5dvX6FSyAAAEAlDV7Fm1atQACBADwFm5cuXPpAggQAEBevXv59vULIEAAAIMJFzZ8GDGAAAEANP92/BhyZMkAAgQAcBlzZs2bOQMIEABAaNGjSZc2DSBAAACrWbd2/Ro2gAABANS2fRt3bt0AAgQA8Bt4cOHDiQMIEABAcuXLmTd3DiBAAADTqVe3fh07gAABAHT3/h18ePEAAgQAcB59evXr2QMIEABAfPnz6de3DyBAAAD7+ff3DxCAwIEECQYIACChwoUMGzoEECAAgIkUK1q8iBFAgAAAOnr8CDKkSAABAgA4iTKlypUsAQQIACCmzJk0a9oEECAAgJ08e/r8CRRAgAAAiho9ijSpUgABAgB4CjWq1KlUAQQIACCr1q1cu3oFECAAgLFky5o9ixZAgAAA2rp9Czf/rlwAAQIAuIs3r969fAEECAAgsODBhAsbBhAgAIDFjBs7fgwZQIAAACpbvow5s2YAAQIA+Aw6tOjRpAEECAAgterVrFu7BhAgAIDZtGvbvo0bQIAAAHr7/g08uHAAAQIAOI48ufLlzAEECAAguvTp1KtbBxAgAIDt3Lt7/w4eQIAAAMqbP48+vXoAAQIAeA8/vvz59AEECAAgv/79/Pv7BwggQAAABQ0eRJhQIYAAAQA8hBhR4kSKAAIEAJBR40aOHT0CCBAAwEiSJU2eRAkgQAAALV2+hBlTJoAAAQDcxJlT506eAAIEABBU6FCiRY0CCBAAwFKmTZ0+hQogQAAA/1WtXsWaVSuAAAEAfAUbVuxYsgACBACQVu1atm3dAggQAMBcunXt3sULIEAAAH39/gUcWDCAAAEAHEacWPFixgACBAAQWfJkypUtAwgQAMBmzp09fwYNIEAAAKVNn0adWjWAAAEAvIYdW/Zs2gACBACQW/du3r19AwgQAMBw4sWNH0cOIEAAAM2dP4ceXTqAAAEAXMeeXft27gACBAAQXvx48uXNAwgQAMB69u3dv4cPIEAAAPXt38efXz+AAAEAAAQgcCDBggYPBggAYCHDhg4fQgQQIACAihYvYsyoEUCAAAA+ggwpciRJAAECAEipciXLli4BBAgAYCbNmjZv4v8EECAAgJ4+fwINKhRAgAAAjiJNqnQpUwABAgCIKnUq1apWAQQIAGAr165ev4IFECAAgLJmz6JNqxZAgAAA3sKNK3cuXQABAgDIq3cv375+AQQILHgw4cKGDyNOrHgx48aOH0OOLHkyZckALmPOrHkzZwABAgAILXo06dKmAQQIAGA169auX8MGECAAgNq2b+POrRtAgAAAfgMPLnw4cQABAgBIrnw58+bOAQQIAGA69erWr2MHECAAgO7ev4MPLx5AgAAAzqNPr349ewABAgCIL38+/fr2AQQIAGA///7+AQIQOJAgwQABACRUuJBhQ4cAAgQAMJFiRYsXMQIIEAD/QEePH0GGFAkgQAAAJ1GmVLmSJYAAAQDElDmTZk2bAAIEALCTZ0+fP4ECCBAAQFGjR5EmVQogQAAAT6FGlTqVKoAAAQBk1bqVa1evAAIEADCWbFmzZ9ECCBAAQFu3b+HGlQsgQAAAd/Hm1buXL4AAAQAEFjyYcGHDAAIEALCYcWPHjyEDCBAAQGXLlzFn1gwgQAAAn0GHFj2aNIAAAQCkVr2adWvXAAIEADCbdm3bt3EDCBAAQG/fv4EHFw4gQAAAx5EnV76cOYAAAQBElz6denXrAAIEALCde3fv38EDCBAAQHnz59GnVw8gQAAA7+HHlz+fPoAAAQDk17+ff3///wABBAgAoKDBgwgTKgQQIACAhxAjSpxIEUCAAAAyatzIsaNHAAECABhJsqTJkygBBAgAoKXLlzBjygQQIACAmzhz6tzJE0CAAACCCh1KtKhRAAECAFjKtKnTp1ABBAgAoKrVq1izagUQIACAr2DDih1LFkCAAADSql3Ltq1bAAECAJhLt67du3gBBAgAoK/fv4ADCwYQIACAw4gTK17MGECAAAAiS55MubJlAAECANjMubPnz6ABBAgAoLTp06hTqwYQIACA17Bjy55NG0CAAABy697Nu7dvAAECABhOvLjx48gBBAgAoLnz59CjSwcQIACA69iza9/OHUCAAADCi/8fT768eQABAgBYz769+/fwAQQIAKC+/fv48+sHECAAAIAABA4kWNDgwQABACxk2NDhQ4gAAgQAUNHiRYwZNQIIEADAR5AhRY4kCSBAAAApVa5k2dIlgAABAMykWdPmTZwAAgQA0NPnT6BBhQIIEADAUaRJlS5lCiBAAABRpU6lWtUqgAABAGzl2tXrV7AAAgQAUNbsWbRp1QIIEADAW7hx5c6lCyBAAAB59e7l29cvgAABAAwmXNjwYcQAAgQA0NjxY8iRJQMIEADAZcyZNW/mDCBAAAChRY8mXdo0gAABAKxm3dr1a9gAAgQAUNv2bdy5dQMIEADAb+DBhQ8nDiD/QAAAyZUvZ97cOYAAAQBMp17d+nXsAAIEANDd+3fw4cUDCBAAwHn06dWvZw8gQAAA8eXPp1/fPoAAAQDs59/fP0AAAgcSJBggAICEChcybOgQQIAAACZSrGjxIkYAAQIA6OjxI8iQIgEECADgJMqUKleyBBAgAICYMmfSrGkTQIAAAHby7OnzJ1AAAQIAKGr0KNKkSgEECADgKdSoUqdSBRAgAICsWrdy7eoVQIAAAMaSLWv2LFoAAQIAaOv2Ldy4cgEECADgLt68evfyBRAgAIDAggcTLmwYQIAAABYzbuz4MWQAAQIAqGz5MubMmgEECADgM+jQokeTBhAgAIDU/6pXs27tGkCAAABm065t+zZuAAECAOjt+zfw4MIBBAgA4Djy5MqXMwcQIACA6NKnU69uHUCAAAC2c+/u/Tt4AAECAChv/jz69OoBBAgA4D38+PLn0wcQIACA/Pr38+/vHyCAAAEAFDR4EGFChQACBADwEGJEiRMpAggQAEBGjRs5dvQIIEAAACNJljR5EiWAAAEAtHT5EmZMmQACBABwE2dOnTt5AggQAEBQoUOJFjUKIEAAAEuZNnX6FCqAAFOpVrV6FWtWrVu5dvX6FWxYsWPJljVLFkBatWvZtnULIEAAAHPp1rV7Fy+AAAEA9PX7F3BgwQACBABwGHFixYsZA/8IEABAZMmTKVe2DCBAAACbOXf2/Bk0gAABAJQ2fRp1atUAAgQA8Bp2bNmzaQMIEABAbt27eff2DSBAAADDiRc3fhw5gAABADR3/hx6dOkAAgQAcB17du3buQMIEABAePHjyZc3DyBAAADr2bd3/x4+gAABANS3fx9/fv0AAgQAABCAwIEECxo8GCAAgIUMGzp8CBFAgAAAKlq8iDGjRgABAgD4CDKkyJEkAQQIACClypUsW7oEECAAgJk0a9q8iRNAgAAAevr8CTSoUAABAgA4ijSp0qVMAQQIACCq1KlUq1oFECAAgK1cu3r9ChZAgAAAypo9izatWgABAgB4Czf/rty5dAEECAAgr969fPv6BRAgAIDBhAsbPowYQIAAABo7fgw5smQAAQIAuIw5s+bNnAEECAAgtOjRpEubBhAgAIDVrFu7fg0bQIAAAGrbvo07t24AAQIA+A08uPDhxAEECAAgufLlzJs7BxAgAIDp1Ktbv44dQIAAALp7/w4+vHgAAQIAOI8+vfr17AEECAAgvvz59OvbBxAgAID9/Pv7BwhA4ECCBAMEAJBQ4UKGDR0CCBAAwESKFS1exAggQAAAHT1+BBlSJIAAAQCcRJlS5UqWAAIEABBT5kyaNW0CCBAAwE6ePX3+BAogQAAARY0eRZpUKYAAAQA8hRpV6lSq/wACBACQVetWrl29AggQAMBYsmXNnkULIEAAAG3dvoUbVy6AAAEA3MWbV+9evgACBAAQWPBgwoUNAwgQAMBixo0dP4YMIEAAAJUtX8acWTOAAAEAfAYdWvRo0gACBACQWvVq1q1dAwgQAMBs2rVt38YNIEAAAL19/wYeXDiAAAEAHEeeXPly5gACBAAQXfp06tWtAwgQAMB27t29fwcPIEAAAOXNn0efXj2AAAEAvIcfX/58+gACBACQX/9+/v39AwQQIACAggYPIkyoEECAAAAeQowocSJFAAECAMiocSPHjh4BBAgAYCTJkiZPogQQIACAli5fwowpE0CAAABu4v/MqXMnTwABAgAIKnQo0aJGAQQIAGAp06ZOn0IFECAAgKpWr2LNqhVAgAAAvoINK3YsWQABAgBIq3Yt27ZuAQQIAGAu3bp27+IFECAAgL5+/wIOLBhAgAAADiNOrHgxYwABAgCILHky5cqWAQQIAGAz586eP4MGECAAgNKmT6NOrRpAgAAAXsOOLXs2bQABAgDIrXs3796+AQQIAGA48eLGjyMHECAAgObOn0OPLh1AgAAArmPPrn07dwABAgAIL348+fLmAQQIAGA9+/bu38MHECAAgPr27+PPrx9AgAAAAAIQOJBgQYMHAwQAsJBhQ4cPIQIIEABARYsXMWbUCCD/QAAAH0GGFDmSJIAAAQCkVLmSZUuXAAIEADCTZk2bN3ECCBAAQE+fP4EGFQogQAAAR5EmVbqUKYAAAQBElTqValWrAAIEALCVa1evX8ECCBAAQFmzZ9GmVQsgQAAAb+HGlTuXLoAAAQDk1buXb1+/AAIEADCYcGHDhxEDCBAAQGPHjyFHlgwgQAAAlzFn1ryZM4AAAQCEFj2adGnTAAIEALCadWvXr2EDCBAAQG3bt3Hn1g0gQAAAv4EHFz6cOIAAAQAkV76ceXPnAAJElz6denXr17Fn176de3fv38GHFz+evHgA59GnV7+ePYAAAQDElz+ffn37AAIEALCff3///wABCBxIkGCAAAASKlzIsKFDAAECAJhIsaLFixgBBAgAoKPHjyBDigQQIACAkyhTqlzJEkCAAABiypxJs6ZNAAECANjJs6fPn0ABBAgAoKjRo0iTKgUQIACAp1CjSp1KFUCAAACyat3KtatXAAECABhLtqzZs2gBBAgAoK3bt3DjygUQIACAu3jz6t3LF0CAAAACCx5MuLBhAAECAFjMuLHjx5ABBAgAoLLly5gzawYQIACAz6BDix5NGkCAAABSq17NurVrAAECAJhNu7bt27gBBAgAoLfv38CDCwcQIACA48iTK1/OHECAAACiS59Ovbp1AAECANjOvbv37+ABBP8IAKC8+fPo06sHECAAgPfw48ufTx9AgAAA8uvfz7+/f4AAAgQAUNDgQYQJFQIIEADAQ4gRJU6kCCBAAAAZNW7k2NEjgAABAIwkWdLkSZQAAgQA0NLlS5gxZQIIEADATZw5de7kCSBAAABBhQ4lWtQogAABACxl2tTpU6gAAgQAUNXqVaxZtQIIEADAV7BhxY4lCyBAAABp1a5l29YtgAABAMylW9fuXbwAAgQA0NfvX8CBBQMIEADAYcSJFS9mDCBAAACRJU+mXNkygAABAGzm3NnzZ9AAAgQAUNr0adSpVQMIEADAa9ixZc+mDSBAAAC5de/m3ds3gAABAAwnXtz/+HHkAAIEANDc+XPo0aUDCBAAwHXs2bVv5w4gQAAA4cWPJ1/ePIAAAQCsZ9/e/Xv4AAIEAFDf/n38+fUDCBAAAEAAAgcSLGjwYIAAABYybOjwIUQAAQIAqGjxIsaMGgEECADgI8iQIkeSBBAgAICUKleybOkSQIAAAGbSrGnzJk4AAQIA6OnzJ9CgQgEECADgKNKkSpcyBRAgAICoUqdSrWoVQIAAALZy7er1K1gAAQIAKGv2LNq0agEECADgLdy4cufSBRAgAIC8evfy7esXQIAAAAYTLmz4MGIAAQIAaOz4MeTIkgEECADgMubMmjdzBhAgAIDQokeTLm0aQIAA/wBWs27t+jVsAAECAKht+zbu3LoBBAgA4Dfw4MKHEwcQIACA5MqXM2/uHECAAACmU69u/Tp2AAECAOju/Tv48OIBBAgA4Dz69OrXswcQIACA+PLn069vH0CAAAD28+/vHyAAgQMJEgwQAEBChQsZNnQIIEAAABMpVrR4ESOAAAEAdPT4EWRIkQACBABwEmVKlStZAggQAEBMmTNp1rQJIEAAADt59vT5EyiAAAEAFDV6FGlSpQACBADwFGpUqVOpAggQAEBWrVu5dvUKIEAAAGPJljV7Fi2AAAEAtHX7Fm5cuQACBABwF29evXv5AggQAEBgwYMJFzYMIEAAAIsZN/92/BgygAABAFS2fBlzZs0AAgQA8Bl0aNGjSQMIEABAatWrWbd2DSBAAACzade2fRs3gAABAPT2/Rt4cOEAAgQAcBx5cuXLmQMIEABAdOnTqVe3DiBAAADbuXf3/h08gAABAJQ3fx59evUAAgQA8B5+fPnz6QMIEABAfv37+ff3DxBAgAAACho8iDChQgABAgB4CDGixIkUAQQIACCjxo0cO3oEECAAgJEkS5o8iRJAgAAAWrp8CTOmTAABAgC4iTOnzp08AQQIACCo0KFEixoFECAAgKVMmzp9ChVAgAAAqlq9ijWrVgABAgD4Cjas2LFkAQQIACCt2rVs27oFECD/AIC5dOvavYsXQIAAAPr6/Qs4sGAAAQIAOIw4seLFjAEECAAgsuTJlCtbBhAgAIDNnDt7/gwaQIDRpEubPo06terVrFu7fg07tuzZtGvbpg0gt+7dvHv7BhAgAIDhxIsbP44cQIAAAJo7fw49unQAAQIAuI49u/bt3AEECAAgvPjx5MubBxAgAID17Nu7fw8fQIAAAOrbv48/v34AAQIAAAhA4ECCBQ0eDBAAwEKGDR0+hAggQAAAFS1exJhRI4AAAQB8BBlS5EiSAAIEAJBS5UqWLV0CCBAAwEyaNW3exAkgQAAAPX3+BBpUKIAAAQAcRZpU6VKmAAIEABBV6lSq/1WtAggQAMBWrl29fgULIEAAAGXNnkWbVi2AAAEAvIUbV+5cugACBACQV+9evn39AggQAMBgwoUNH0YMIEAAAI0dP4YcWTKAAAEAXMacWfNmzgACBAAQWvRo0qVNAwgQAMBq1q1dv4YNIEAAALVt38adWzeAAAEA/AYeXPhw4gACBACQXPly5s2dAwgQAMB06tWtX8cOIEAAAN29fwcfXjyAAAEAnEefXv169gACBAAQX/58+vXtAwgQAMB+/v39AwQgcCBBggECAEiocCHDhg4BBAgAYCLFihYvYgQQIACAjh4/ggwpEkCAAABOokypciVLAAECAIgpcybNmjYBBP8IAGAnz54+fwIFECAAgKJGjyJNqhRAgAAAnkKNKnUqVQABAgDIqnUr165eAQQIAGAs2bJmz6IFECAAgLZu38KNKxdAgAAA7uLNq3cvXwABAgAILHgw4cKGAQQIAGAx48aOH0MGECAAgMqWL2POrBlAgAAAPoMOLXo0aQABAgBIrXo169auAQQIAGA27dq2b+MGECAAgN6+fwMPLhxAgAAAjiNPrnw5cwABAgCILn069erWAQQIAGA79+7ev4MHECAAgPLmz6NPrx5AgAAA3sOPL38+fQABAgDIr38///7+AQIIEABAQYMHESZUCCBAAAAPIUaUOJEigAABAGTUuJH/Y0ePAAIEADCSZEmTJ1ECCBAAQEuXL2HGlAkgQAAAN3Hm1LmTJ4AAAQAEFTqUaFGjAAIEALCUaVOnT6ECCBAAQFWrV7Fm1QogQAAAX8GGFTuWLIAAAQCkVbuWbVu3AAIEADCXbl27d/ECCBAAQF+/fwEHFgwgQAAAhxEnVryYMYAAAQBEljyZcmXLAAIEALCZc2fPn0EDCBAAQGnTp1GnVg0gQAAAr2HHlj2bNoAAAQDk1r2bd2/fAAIEADCceHHjx5EDCBAAQHPnz6FHlw4gQAAA17Fn176dO4AAAQCEFz+efHnzAAIEALCefXv37+EDCBAAQH379/Hn1w8gQAAA/wABCBxIsKDBgwECAFjIsKHDhxABBAgAoKLFixgzagQQIACAjyBDihxJEkCAAABSqlzJsqVLAAECAJhJs6bNmzgBBAgAoKfPn0CDCgUQIACAo0iTKl3KFECAAACiSp1KtapVAAECANjKtavXr2ABBAgAoKzZs2jTqgUQIACAt3Djyp1LF0CAAADy6t3Lt69fAAECABhMuLDhw4gBBAgAoLHjx5AjSwYQIACAy5gza97MGUCAAABCix5NurRpAAECAFjNurXr17ABBAgAoLbt27hz6wYQIACA38CDCx9OHECAAACSK1/OvLlzAAECAJhOvbr169gBBAgAoLv37+DDi/8HECAAgPPo06tfzx5AgAAA4sufT7++fQABAgDYz7+/f4AABA4kSDBAAAAJFS5k2NAhgAABAEykWNHiRYwAAgQA0NHjR5AhRQIIUNLkSZQpVa5k2dLlS5gxZc6kWdPmTZw2Aezk2dPnT6AAAgQAUNToUaRJlQIIEADAU6hRpU6lCiBAAABZtW7l2tUrgAABAIwlW9bsWbQAAgQA0NbtW7hx5QIIEADAXbx59e7lCyBAAACBBQ8mXNgwgAABACxm3NjxY8gAAgQAUNnyZcyZNQMIEADAZ9ChRY8mDSBAAACpVa9m3do1gAABAMymXdv2bdwAAgQA0Nv3b+DBhQMIEAD/wHHkyZUvZw4gQAAA0aVPp17dOoAAAQBs597d+3fwAAIEAFDe/Hn06dUDCBAAwHv48eXPpw8gQAAA+fXv59/fP0AAAQIAKGjwIMKECgEECADgIcSIEidSBBAgAICMGjdy7OgRQIAAAEaSLGnyJEoAAQIAaOnyJcyYMgEECADgJs6cOnfyBBAgAICgQocSLWoUQIAAAJYyber0KVQAAQIAqGr1KtasWgEECADgK9iwYseSBRAgAIC0ateybesWQIAAAObSrWv3Ll4AAQIA6Ov3L+DAggEECADgMOLEihczBhAgAIDIkidTrmwZQIAAADZz7uz5M2gAAQIAKG36NOrU/6oBBAgA4DXs2LJn0wYQIACA3Lp38+7tG0CAAACGEy9u/DhyAAECAGju/Dn06NIBBAgA4Dr27Nq3cwcQIACA8OLHky9vHkCAAADWs2/v/j18AAECAKhv/z7+/PoBBAgAACAAgQMJFjR4MEAAAAsZNnT4ECKAAAEAVLR4EWNGjQACBADwEWRIkSNJAggQAEBKlStZtnQJIEAAADNp1rR5EyeAAAEA9PT5E2hQoQACBABwFGlSpUuZAggQAEBUqVOpVrUKIEAAAFu5dvX6FSyAAAEAlDV7Fm1atQACBADwFm5cuXPpAggQAEBevXv59vULIEAAAIMJFzZ8GDGAAAEANP92/BhyZMkAAgQAcBlzZs2bOQMIEABAaNGjSZc2DSBAAACrWbd2/Ro2gAABANS2fRt3bt0AAgQA8Bt4cOHDiQMIEABAcuXLmTd3DiBAAADTqVe3fh07gAABAHT3/h18ePEAAgQAcB59evXr2QMIEABAfPnz6de3DyBAAAD7+ff3DxCAwIEECQYIACChwoUMGzoEECAAgIkUK1q8iBFAgAAAOnr8CDKkSAABAgA4iTKlypUsAQQIACCmzJk0a9oEECAAgJ08e/r8CRRAgAAAiho9ijSpUgABAgB4CjWq1KlUAQQIACCr1q1cu3oFECAAgLFky5o9ixZAgAAA2rp9Czf/rlwAAQIAuIs3r969fAEECAAgsODBhAsbBhAgAIDFjBs7fgwZQIAAACpbvow5s2YAAQIA+Aw6tOjRpAEECAAgterVrFu7BhAgAIDZtGvbvo0bQIAAAHr7/g08uHAAAQIAOI48ufLlzAEECAAguvTp1KtbBxAgAIDt3Lt7/w4eQIAAAMqbP48+vXoAAQIAeA8/vvz59AEECAAgv/79/Pv7BwggQAAABQ0eRJhQIYAAAQA8hBhR4kSKAAIEAJBR40aOHT0CCBAAwEiSJU2eRAkgQAAALV2+hBlTJoAAAQDcxJlT506eAAIEABBU6FCiRY0CCBAAwFKmTZ0+hQogQAAA/1WtXsWaVSuAAAEAfAUbVuxYsgACBACQVu1atm3dAggQAMBcunXt3sULIEAAAH39/gUcWDCAAAEAHEacWPFixgACBAAQWfJkypUtAwgQAMBmzp09fwYNIEAAAKVNn0adWjWAAAEAvIYdW/Zs2gACBACQW/du3r19AwgQAMBw4sWNH0cOIEAAAM2dP4ceXTqAAAEAXMeeXft27gACBAAQXvx48uXNAwgQAMB69u3dv4cPIMB8+vXt38efX/9+/v39AwwgcCDBggYPIkyocCHDhg4fQoxoEADFihYvYswIIEAAAB4/ggwpciSAAAEAoEypciXLlgACBAAgcybNmjZvAv8IEAAAz54+fwINCiBAAABGjyJNqnQpgAABAECNKnUq1aoAAgQAoHUr165evwIIEAAA2bJmz6JNCyBAAABu38KNK3cugAABAODNq3cv374AAgQAIHgw4cKGDwMIEAAA48aOH0OODCBAAACWL2POrHkzgAABAIAOLXo06dIAAgQAoHo169auXwMIEAAA7dq2b+PODSBAAAC+fwMPLnw4gAABACBPrnw58+YAAgQAIH069erWrwMIEAAA9+7ev4MPDyBAAADmz6NPr349gAABAMCPL38+/foAAgQAoH8///7+AQIQOFBggAAAECZUuJBhQwABAgCQOJFiRYsXAQQIAID/Y0ePH0GGBBAgAACTJ1GmVLkSQIAAAGDGlDmTZk0AAQIA0LmTZ0+fPwEECACAaFGjR5EmBRAgAACnT6FGlToVQIAAALBm1bqVa1cAAQIAEDuWbFmzZwEECACAbVu3b+HGBRAgAAC7d/Hm1bsXQIAAAAAHFjyYcGEAAQIAULyYcWPHjwEECACAcmXLlzFnBhAgAADPn0GHFj0aQIAAAFCnVr2adWsAAQIAkD2bdm3btwEECACAd2/fv4EHBxAgAADjx5EnV74cQIAAAKBHlz6denUAAQIA0L6de3fv3wEECACAfHnz59GnBxAgAAD37+HHlz8fQIAAAPDn17+ff38A/wADBABAsKDBgwgTAggQAIDDhxAjSpwIIEAAABgzatzIsSOAAAEAiBxJsqTJkwACBADAsqXLlzBjAggQAIDNmzhz6twJIEAAAECDCh1KtCiAAAEAKF3KtKnTpwACBABAtarVq1izAggQAIDXr2DDih0LIEAAAGjTql3Lti2AAAEAyJ1Lt67duwACBADAt6/fv4ADAwgQAIDhw4gTK14MIEAAAJAjS55MuTKAAAEAaN7MubPnzwACBABAurTp06hTAwgQAIDr17Bjy54NIEAAALhz697NuzeAAAEACB9OvLjx4wACBADAvLnz59CjAwgQAID169iza98OIEAAAODDi/8fT748gAABAKhfz769+/cAAgQAQL++/fv48wMIEACAf4AABA4kWNBgwQABACxk2NDhQ4gAAgQAUNHiRYwZNQIIEADAR5AhRY4kCSBAAAApVa5k2dIlgAABAMykWdPmTZwAAgQA0NPnT6BBhQIIEADAUaRJlS5lCiBAAABRpU6lWtUqgAABAGzl2tXrV7AAAgQAUNbsWbRp1QIIEADAW7hx5c6lCyBAAAB59e7l29cvgAABAAwmXNjwYcQAAgQA0NjxY8iRJQMIEADAZcyZNW/mDCBAAAChRY8mXdo0gAABAKxm3dr1a9gAAgQAUNv2bdy5dQMIEADAb+DBhQ8nDiDoQAAAyZUvZ97cOYAAAQBMp17d+nXsAAIEANDd+3fw4cUDCBAAwHn06dWvZw8gQAAA8eXPp1/fPoAAAQDs59/fP0AAAgcSJBggAICEChcybOgQQIAAACZSrGjxIkYAAQIA6OjxI8iQIgEECADgJMqUKleyBBAgAICYMmfSrGkTQIAAAHby7OnzJ1AAAQIAKGr0KNKkSgEECADgKdSoUqdSBRAgAICsWrdy7eoVQIAAAMaSLWv2LFoAAQIAaOv2Ldy4cgEECADgLt68evfyBRDgL+DAggcTLmz4MOLEihczbuz4MeTIkh8HBAA7\"><title>Layer: conv2D_2 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"657.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 657.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 540) translate(2)\" >32</text><text x=\"273.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 770) translate(2)\" >0</text><text x=\"62.0\" y=\"560\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 560) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"784\" x2=\"175.0\" y2=\"757\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2/kernel has shape (5, 5, 16, 32)\n conv2D_2/bias has shape (32,)</title></line><rect x=\"74.0\" y=\"784\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_maxpool1-rotated_6\" class=\"picture-dashboard-MNIST_CNN-935832_maxpool1-rotated\" x=\"75.0\" y=\"785\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"887.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 887.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 770) translate(2)\" >16</text><text x=\"273.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1000) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1014\" x2=\"175.0\" y2=\"987\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1014\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_conv2D_1-rotated_7\" class=\"picture-dashboard-MNIST_CNN-935832_conv2D_1-rotated\" x=\"75.0\" y=\"1015\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: conv2D_1 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1117.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1117.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1000) translate(2)\" >16</text><text x=\"273.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1230) translate(2)\" >0</text><text x=\"62.0\" y=\"1020\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1020) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1244\" x2=\"175.0\" y2=\"1217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1/kernel has shape (5, 5, 1, 16)\n conv2D_1/bias has shape (16,)</title></line><rect x=\"74.0\" y=\"1244\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-935832_input-rotated_8\" class=\"picture-dashboard-MNIST_CNN-935832_input-rotated\" x=\"75.0\" y=\"1245\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1347.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1347.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1230) translate(2)\" >1</text><text x=\"273.0\" y=\"1460\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1460) translate(2)\" >0</text><text x=\"18\" y=\"735.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 735.0) translate(2)\" >MNIST_CNN</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature0\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature1\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature2\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature3\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature4\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature5\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPT5/tro9eLt+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhwwFSBQQoKLFixgzatwooKMAACBDihxJsqRJkQJSqkwJoCUAATAFAJhJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iLBlgaAIDTp1CjSp1KtarVq1izat3KtavXr04FiBUAoCwAAWjTogXAtq3bt3Djyp1Ld66AuwIC6N3LV6+AvwIACB5MuLDhw4gTKy4soLGAAJAjS54cAIDly5gza97MubPnzgJCCwhAOoCA0wIAqF7NurXr17Bjy55Nu7bt27hz697Nu3drAcCDAw9AvDhxAciTIwfAvLnz59CjC5guIID169iza98uoLsAAODDi/8fT768+fPo06tfz769+/fw48ufT7++egH4BQDYz7+/f4AABA4kWNDgQYQJFS5k2NDhQ4gRJRoUUFEAAIwZNW7k2NHjR5AhRWIMUNLkyZICVAoA0NLlS5gxZc6kWZNmAJw5deIU0FMAAKBBhQ4lWtToUaRDBSwVEMDpU6hOBUwVAMDqVaxZtW7l2tXrV7BhxY4lW9bsWbRp1a5l29btW7heBcylOzfAXbx3BezluxfAX8CBBQ8mXLiwAMQCAixm3NjxY8iRBUwWAMDyZcyZNW/mLMCzgAChRY8mXdq0ANQCAKxm3dr1a9ixZc+WLcD2bdsAdAMQ0FsAAODBhQ8nXtz/+HHkyZUvZ97c+XPo0aVPp17d+nXs2bVv595dwHcBAMSPJ1/e/Hn06dWvZ28+wPsAAOTPp1/f/n38+fXv59/fP0AAAgcSLGjwIMKEChcybOjwIcSIEicCEGBRAICMGjdy7OjxI8iQIkd2FGBSAICUAASwbMkSAMyYMmfSrGnzJs6cOAPw7OmTp4CgAgAQLWr0KNKkSpcybUpUAFQBAaZSrTpVAFYBALZy7er1K9iwYseS/RrgLNq0ZwWwFQDgLdy4cufSrWv3Lt63AvYKCOD3L+DAAQAQLmz4MOLEihczbkxYAGQBASZTrjxZAGYBADZz7uz5M+jQokeT/izgtIAA/6oDCGgtAADs2LJn065t+zbu3Lp38+7t+zfw4MKHEy9u/Djy5MqXM2/u/Dn04wKmU58e4Dr26wK2c98O4Dv48OLHky9v/jz68QLWs18f4D389wLm058P4D7+/Pr38+/fH6AAgQICFDR4EGFChQsFNBQAAGJEiRMpVrR4saIAjQICdPT4EWRIkSMFlBQAAGVKlStZtnQpAKaAADNp1rR5E6cAnQIA9PT5E2hQoUOJFgUqAKmAAEuZNnX6FKoAqQIAVLV6FWtWrVu5duUqAGxYsADIAhBwVgAAtWvZtnX7Fm5cuXPpqhVwF+9dAHsBCPArAEBgwYMJFzZ8GHFixYsZN/92/BhyZMmTKVe2fBlzZs2bOXf2/Bl0aNGjSZc2fRq1ZAGrBQBw/Rp2bNmzade2fRt3bgACeAsA8Bt4cOHDiRc3fhx58uEBmAcA8Bx6dOnTqVe3fh17du0AAnQPAAB8ePHjyZc3fx59evXr2bd3/x5+fPnz6de3fx9/fv37+dcXAFCAQAAECxo8iDChwoUMGzp8CECARAEAKlq8iDGjxo0cO3r8mFGASAEASgIQgDIlSgAsW7p8CTOmzJk0a9pkKSCnAAA8AQj4CfQngKFEixo9ijSp0qVMlwZ4CjXqUwFUBQC4ijWr1q1cu3r9Cjbs1QBky5olKyCtAABs27p9Czf/rty5dOuyFYBXQIC9fPvuFQBYAIDBhAsbPow4seLFjBcLeCwggOTJlCULuCwAgObNnDt7/gw6tOjRngOYPo3atIDVAgC4fg07tuzZtGvbvo3bdYDdvHvvFgBcAIDhxIsbP448ufLlzIcLeC4ggPTp1KsHAIA9u/bt3Lt7/w4+PHgB5AUEOI8+vfoAANq7fw8/vvz59Ovbby8gv4AA/Pv7BxgggACCAgAcRJhQ4UKGDR0+hPhQwEQBASxexGhRwEYBADx+BBlS5EiSJU2eFClApYAALQMIgCkAwEyaNW3exJlT506ePW8KACogwNAAAowKAJBU6VKmTZ0+hRpV6lSqG1WtXsWaVetWrl29fgUbVuxYsmXNnkWbVm3XgAA7\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature6\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature7\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX5/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature8\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature9\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature10\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature11\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX5/tbl9OHs98fb77nV6qfO5J3J4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsWJBARgFBNjIseNGASAFDBg5IIDJkyhTpgTAsqXLlzBjuhRAU0CAmwEG6Nypk4BPAgWCFjBA1ACBo0iTHh3AdECAp1CjSg0AoKrVq1izat16NYDXr2DDBhhAtizZAGgDCFjLdi2At3Djyp1Lt67du3jfCtjLd2+AvwEECBYAoLDhw4gTK17MuLHjx4kFSBYQoLLly5gDANjMubPnz6BDix5NuvRnAagFBFjNurXr16wByJ5Nu7bt27hz696tW4BvAQGCCw8+oPiAAMgDAFjOvLnz59CjS58uXYB1AQGyBxjAfQCB7+C/D/8YPyCA+QAC0gsAwL69+/fw48uXL6C+gAD48+MfwH8AAYAEBA4kMMDgQYMBFC5UCMDhQ4gRJU6kCFHARQEBNG7UOMDjAAIhRYYcUHJAAJQpVaIU0FIAAJgxZc6kWdPmTZw5de7k2dPnT6BBhdIUUNTo0aIAlC5l2tTpU6gCpAoIUNXqVawBBmwdEMBrgAFhxYYlUJZAALRp1a5dC8DtW7hx5c6FG8BugAF5BxDg25fvAMADCAwmPHjA4QEBFC9m3DgAAMiRJU+mXNny5coCNAsI0NnzZ9CgAYwmXdr0adSpVa9m3Xq0ANixYQegXZu2ANwCAOzm3dv3b+DBhQ8nXvz/twDkAgIsZ958uQDoAgJMDwDA+nXs2bVv597d+3fw2gWMFxDA/Hn06QMAYN/e/Xv48eXPp18ffgD8+fET4N/fP0ACBAIQDADgIMKEChcybOjwIQABEgUEqBhgAMYBBDZy3Djg44AAIkeSFAngJMqUKleybJkyAMyYMmEOqDmAAM6cOAfw7MkzANCgQAEQLWr0KNKkSpcyBRDgKdSoUqdCFWBVAICsWrdy7er1K9iwYseSLWv2LNq0ateybev2Ldy4cueGFWD3Ll67APby7ev3L+DAggELKCwgAOLEihELaCxgAOQBASZTrmzZMoDMmjdz7uz5s4DQAgKQLm36dIAB/6oHBGgdYADs2LAJ0CYQ4Dbu3Lp1A+jt+zfw4MJ/CyguIADyAAOWM19O4DmBAtILGKhugAD27NqxD+g+IAD48OLHBwBg/jz69OrXsw/gPsCA+AMI0K9PfwD+AQT2898/AOAAgQEIFjR4MAAAhQsZNnT4EGLEhwEoVrR4McAAjRs1BvAYQEBIkSEBlDR5EmVKlStZtkQpAKaAADNp1rRpE0BOnTt59vT5E2hQoUNzCjB61GgApQEENBUAAGpUqVOpVrV6FWtWrVAFdPXaNUBYsWEFlBUAAG1atWvZtnX7Fm5cuWgF1BUQAG9evXsDAPD7F3BgwYMJFzZ8GLFfAYsFBP9w/BiyYwGTBQSwHABAZs2bOXf2/Bl0aNGhBZQWEAB1atWrWacG8Bp2bNmzade2fRv3bQG7BQTw/Rt48AAAiBc3fhx5cuXLmTdnLgC6gADTqU8fcH1AAO0BAHT3/h18ePHjyZc3Hz5AevXpCbR3/759APkBANS3fx9/fv37+ffnD1CAQAEBCgYYgHAAgYUMFw54OCCAxAACKgoAgDGjxo0cO3r8CBKAgJECApgMMCDlAAIsW7IcAHNAgJk0a84EgDOnzp08e/r8mVOAUAEBihotOiDpAAJMmzIdADUq1ABUq1IFgDWr1q1cu3r9mjWA2LFkxQ44O4CA2rVqB7h96zb/gNy5cgHYvYs3r969fPveFQBYQIDBhAcPODyAgOLFigc4HhAgsuTJkQVYFgAgs+bNnDt7/gw6NOcApEubPo26tIDVAgC4fg07tuzZtGvbvo07t+7dvHv7/g08uPDhxIsbP448ufLlzJs7fw49OgAB1Ktbpw4gu/bt3Lt7/w4+vPjx3QWYP4/ePID17Nu7fw8/vnz4AuoLCIA/v378AvoLADhA4IAABQ0eRIgQwEKGDR0+hBhRIkQBFQUEwJhRI0YBHQUMADkgwEiSJU2aBJBS5UqWLV2+FBBTQACaNW3eDDBA54AAPQMMABoUKAGiBAIcRZpUqVIATZ0+hRpV6lQB/1UFBMCaVevWAAO8DggQNsAAsmXJEkBLIMBatm3dugUQV+5cunXtzhWQV0AAvgEG/AX8l8BgAgUMFzCQ2AABxo0dMx4QeUAAypUtXw4AQPNmzp09fwYtQLSAAKUDDECdGjUB1gQKvC5gQLYBArVt3649QPeAAL19/wYeAMBw4sWNH0eePMDyAAOcDyAQXXr0AdUHEMCeHfsA7gMCfAcfXnwAAOXNn0efXv169uYDvA8wQP4AAvXt1x+QfwAB/v35AxwgcECAggYPIgwAYCHDhg4fQowoEWKAihYvYgwwYCPHjQE+BhAgcqRIACZPokypciXLli5TBogpcybNAANu4v+8GWBnAAE+f/oEIHQo0aJGjyJNqrSogKYCAkCNKnXqVABWr2LNqnUr165ev2oVIFZAgLJmz6JFC2At27Zu38KNK3cu3bprBeDNizcA3wAC/goAIHgw4cKGDyNOrHgxY8ECHkN+HGByAAGWBQDIrHkz586eP4MOLXp0ZgGmT5sOoHq1agGuBQCILXs27dq2b+POrTu3gN6+ewcILjy4gOICACBPrnw58+bOn0OPLh25gOoCAmDPrn17AADev4MPL348+fLmz5sXoF5AgPbu38MPAGA+/fr27+PPr38///7zAQoQKCBAQYMHCwpQKCBAwwAAIEaUOJFiRYsXMWakKID/o4AAH0GG/CiApIAAJwMAULmSZUuXL2HGlDlTpgCbAgLk1LmTZ0+dAIAGFTqUaFGjR5EmBSqAqYAAT6FGlToVKgCrV7Fm1bqVa1evX70KECsgQFmzZ9EGALCWbVu3b+HGlTuX7lwBdwUE0LuXb98AAAAHFjyYcGHDhxEnRiyAsYAAjyE/HjB5QADLAQBk1ryZc2fPn0GHFh1aQGkBAVCnRj2A9YAArwMAkD2bdm3bt3Hn1r3bdgDfv30TED6cuPAAxwMAUL6ceXPnz6FHlz7deQDr160T0L6du/YA3wMAED+efHnz59GnV59eQHsBAeAHGDB/AAH79+0P0D8gQP8A/wAFCBQAoKDBgwgTKlzIsCFDARAFBJgYYIDFAQQyasw4oOOAACADCBgpAIDJkyhTqlzJsqVLAAJiCghAM8CAmwMI6Nypc4DPAQGCCh0aFIDRo0iTKl3KtKnTpAKiCghANcCAqwMIaN2qdYDXAQHCih0bFoDZs2jTql3Ltu1ZAXAFBJhLd+6AuwMI6N2rd4Dfv34DCB4sGIDhw4gTK17MuLFjAAIiCwhAuTLlAZgHENjMefOAz6A/BxhNejSA06hTq17NurVr1AFiy54de4DtAQRy6849oLfv3gGCCw8OoLjx48iTK1/OvDmAANCjS4c+oPoAAtizYx/AvTv3AODDg48HQL68+fPo06tfX16AewEB4suPP6D+AAL48+MfwH9AAIABBA4kGEDAQQEAFC5k2NDhQ4gRHwqgKCDARYwXB2wcQMDjR48DRA4IUNLkyZICVAoA0NLlS5gxZc6kWRNmAJw5de7kmVPATwEAhA4lWtToUaRJlS4VGsDpU6hRpT4VUFUAAKxZtW7l2tXr164BAQA7\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature12\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature13\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature14\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature15\" 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15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
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href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (-1.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-301166_output-rotated_6\" class=\"picture-dashboard-MNIST_MLP-301166_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (-1.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden2 to output\n output/kernel:0 has shape (30, 10)\n output/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-301166_hidden2-rotated_7\" class=\"picture-dashboard-MNIST_MLP-301166_hidden2-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAP78/ZeX/+3t/wAAfAAA2wAA/x0d/ygo/0FB/1FR/3Fx/42N/6Gh/8HB/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIIAAZBAAwAAAAAwIWNDgAoCECAgIKKABAsWIAAAkAAAgIADs=\"><title>Layer: hidden2 (hidden)\n output range: (-1.0, 1.0)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden2</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden1 to hidden2\n hidden2/kernel:0 has shape (30, 30)\n hidden2/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-301166_hidden1-rotated_8\" class=\"picture-dashboard-MNIST_MLP-301166_hidden1-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAP/9/UZG/8fH/wAAltfX/wAATAAA2AAA/FlZ/4mJ/6mp/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIIQAFIABAUACAAAoEAFiY4EAAAAQASBwQYAAAAgAMACgQEAA7\"><title>Layer: hidden1 (hidden)\n output range: (-1.0, 1.0)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >hidden1</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat_input to hidden1\n hidden1/kernel:0 has shape (784, 30)\n hidden1/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-301166_flat_input-rotated_9\" class=\"picture-dashboard-MNIST_MLP-301166_flat_input-rotated\" x=\"75.0\" y=\"325\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat_input (hidden)\n output range: (0.0, 1.0)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"352.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 352.0) translate(2)\" >flat_input</text><line x1=\"175.0\" y1=\"404\" x2=\"175.0\" y2=\"377\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to flat_input</title></line><rect x=\"74.0\" y=\"404\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_MLP-301166_input-rotated_10\" class=\"picture-dashboard-MNIST_MLP-301166_input-rotated\" x=\"75.0\" y=\"405\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"507.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 507.0) translate(2)\" >input</text><text x=\"88.0\" y=\"390\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 390) translate(2)\" >1</text><text x=\"273.0\" y=\"620\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 620) translate(2)\" >0</text><text x=\"18\" y=\"315.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 315.0) translate(2)\" >MNIST_MLP</text></svg></g></svg></p>"
      }
     },
     "a3a819154501407eaf577aa74abe7017": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonModel",
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output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_output-rotated_1\" class=\"picture-dashboard-MNIST_CNN-672435_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" 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output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output/kernel:0 has shape (30, 10)\n output/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_hidden-rotated_2\" class=\"picture-dashboard-MNIST_CNN-672435_hidden-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAPP4/dvp9uDs9wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIEgABBBAAoKDBgwYDAFjIsCHDgAA7\"><title>Layer: hidden (hidden)\n output range: (0.0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden/kernel:0 has shape (512, 30)\n hidden/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_flat-rotated_3\" class=\"picture-dashboard-MNIST_CNN-672435_flat-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_maxpool2-rotated_4\" class=\"picture-dashboard-MNIST_CNN-672435_maxpool2-rotated\" x=\"75.0\" y=\"325\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"427.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 427.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"310\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 310) translate(2)\" >32</text><text x=\"273.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 540) translate(2)\" >0</text><line x1=\"175.0\" y1=\"554\" x2=\"175.0\" y2=\"527\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"554\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_conv2D_2-rotated_5\" class=\"picture-dashboard-MNIST_CNN-672435_conv2D_2-rotated\" x=\"75.0\" y=\"555\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: conv2D_2 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"657.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 657.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 540) translate(2)\" >32</text><text x=\"273.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 770) translate(2)\" >0</text><text x=\"62.0\" y=\"560\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 560) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"784\" x2=\"175.0\" y2=\"757\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2/kernel:0 has shape (5, 5, 16, 32)\n conv2D_2/bias:0 has shape (32,)</title></line><rect x=\"74.0\" y=\"784\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_maxpool1-rotated_6\" class=\"picture-dashboard-MNIST_CNN-672435_maxpool1-rotated\" x=\"75.0\" y=\"785\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"887.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 887.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 770) translate(2)\" >16</text><text x=\"273.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1000) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1014\" x2=\"175.0\" y2=\"987\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1014\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_conv2D_1-rotated_7\" class=\"picture-dashboard-MNIST_CNN-672435_conv2D_1-rotated\" x=\"75.0\" y=\"1015\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhGAAYAIcAAPX6/uHt99zp9gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAGAAYAEAIjAABCBxIsKDBgwgTJhQQAIDDhxAjSpxIsaLFixgpBgDAsaPHjyBDihxJMmQAAChTqlypUkAAADBjypwZM0AAADhz6tzJs6fPn0CDCh1KtKjRogEAKF3KtKnTAACiSp1KtWqAAACyat3KdWuAAADCih1LtmwAAGjTql3Ltq3btAEAyJ1Lt67du3jz0g0IADs=\"><title>Layer: conv2D_1 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1117.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1117.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1000) translate(2)\" >16</text><text x=\"273.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1230) translate(2)\" >0</text><text x=\"62.0\" y=\"1020\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1020) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1244\" x2=\"175.0\" y2=\"1217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1/kernel:0 has shape (5, 5, 1, 16)\n conv2D_1/bias:0 has shape (16,)</title></line><rect x=\"74.0\" y=\"1244\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-672435_input-rotated_8\" class=\"picture-dashboard-MNIST_CNN-672435_input-rotated\" x=\"75.0\" y=\"1245\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1347.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1347.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1230) translate(2)\" >1</text><text x=\"273.0\" y=\"1460\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1460) translate(2)\" >0</text><text x=\"18\" y=\"735.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 735.0) translate(2)\" >MNIST_CNN</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature0\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX6/uHt99zp9gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgRBtjIcaOAjwIAiBxJsqTJkyhTqlzJsmXJADADAJhJs6bNmzhz6tzJs6dPmwGCCg0KoKjRo0iTKl3KtKnTp1CZBpgaAIDVq1izat3KtavXr2DDdg1ANgCAs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt69fuAECCw4MoLDhw4gTK17MuLHjx5AjS55MubLly5gza34coHMAAKBDix5NurTp06hTq159OoDr164ByJ5Nu7bt27hz697Nu3dtAcAFABhOvLjx48iTK1/OvLlz4wGiBwBAvbr169iza9/Ovbv3798DiP8PAKC8+fPo06tfz769+/fw48ufT7++/fv48+vfz7+/f4AABA4kWNDgQYQJFS5k2NDhQ4gRJU6kWNHiRYwZNW7k2NHjR5AhRY5kGMBkAAApVa5k2dLlS5gxZc6kCSDATZw3BewUAMDnT6BBhQ4lWtToUaRJAQRg2pQpAKhRpU6lWtXqVaxZtW4FEMBrAABhxY4lW9bsWbRp1a5lS1bAWwEA5M6lW9fuXbx59e7l2xdAAMCBAQMgXNjwYcSJFS9m3NjxYwABJAcAUNnyZcyZNW/m3NnzZ9CcA4wOAMD0adSpVa9m3dr1a9ixUwegHQDAbdy5de/m3dv3b+DBhesOUDz/AADkyZUvZ97c+XPo0aVPp17d+nXs2bVv597d+3fw4cWPJ1/e/Hn06dWvvx7A/Xv3AOTPp1/f/n38+fXv59/fP0AAAgcSLGjwIMKEChcybOjwIcSIEidSrGjxIsaMGjdy7OjxI8iQIkeSLGnyJMqUKleybMkwAMwAAGbSrGnzJs6cOnfy7OkTQICgAQAQLWr0KNKkSpcyber0KYAAUqdKFWBVAICsWrdy7er1K9iwYsd2DWD2rFkBagUAaOv2Ldy4cufSrWv3Ll4AAfby3QvgL+DAggcTLmz4MOLEhwMwbswYAOTIkidTrmz5MubMmjcDCOA5AIDQokeTLm36NOrU/6pXswYQ4HUAALJn065t+zbu3Lp38+5dWwBwAQCGEy9u/Djy5MqXM2/uHICA6AIAUK9u/Tr27Nq3c+/u/TuAAOLHiwdg/jz69OrXs2/v/j189wHm058P4D7+/Pr38+/vHyAAgQMJFjR4EGFCgQEYBgDwEGJEiRMpVrR4EWNGjQACdAwAAGRIkSNJljR5EmVKlStPBnAZAEBMmTNp1rR5E2dOnTt5AgjwMwAAoUOJFjV6FGlSpUuZNi0aAGoAAFOpVrV6FWtWrVu5dvUKIEDYAADIljV7Fm1atWvZtnX79mwAuQEA1LV7F29evXv59vX7FzCAAIMDADB8GHFixYsZN2V2/BhyZMmTKVe2fBlzZs2bOXf2/Bl0aNGjSZc2fRp1atWrWbd2/Rp2bNmzade2fRu35AC7ee8G8Bt4cOHDiRc3fhx58uMBmDdnDgB6dOnTqVe3fh17du3buXf3/h18ePHjyXcPCAA7\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature1\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/uPu+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihypMIDJAABSqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iFBlgaAIDTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3LFm2AtwEAyJ1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhw4gTK17MuLHjx5AjS55MWXCAywEAaN7MubPnz6BDix5NurTp06hTq17NurXr17Bjy55Nu7bt27hz697Nu7fv38CDCx9OvDiAAMgDAFjOvLnz59CjS59Ovbp1AAGyBwDAvbv37+DDi/8fT768+fPo06tfz769+/fw48ufT7++/fv48+vfz7+/f4AABA4kWNDgQYQJFS5k2NDhQ4gRJU6kWNHiRYwZNW7k2NHjR5AhQwYgGQDASZQpVa5k2dLlS5gxZQIIUDMAAJw5de7k2dPnT6BBhQ4lWtToUaRJlS5l2tTpU6hRpU6lWtXqVaxZtW7l2tXrV7BhxY4lW9bsWbRp1a5l29btW7hx5c6lGzbA3QAA9O7l29fvX8CBBQ8mXBhAAMQBACxm3NjxY8iRJU+mXNkygACZAwDg3NnzZ9ChRY8mXdr0aQABVAcA0Nr1a9ixZc+mXdv2bdy5de/m3dv3b+DBhQ8nXtwq+HHkyZUvZ97c+XPo0aVPp17d+nXs2bVv597d+3fw4cWPJ1/e/Hn05AMCADs=\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature2\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature3\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature4\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature5\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature6\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature7\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature8\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature9\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature10\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature11\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature12\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature13\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature14\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX6/uPu+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgJBtjIcSOAjyBDihxJsqTJkyhTqlzJsqXLlzBPBpgZAIDNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KlWmAqwEAaN3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhw4gTK17MuLHjx5AjS57sOIDly5YBaN7MubPnz6BDix5NurTp06hTq17NurXr17Bjy55tOoDtAABy697Nu7fv38CDCx9OvLjx48iTK1/OvLnz59CjS59Ovbr169iza9/Ovbv37+DDi/8fT768+QDoAwBYz769+/fw48ufT7++/fv48+vfz7+/f4AABA4kWNDgQYQJFS5k2NDhQ4gRJU6kWNHiRYwZNW7k2NHjR5AhRY4kWdLkSZQpVa5k2dIlyAAxZcYEUNPmTZw5de7k2dPnz54BhA4VCsDoUaRJlS5l2tTpU6hRpU6lWtXqVaxZtW7l2tXrV7BhxY4lW9bsWbRSA6wNAMDtW7hx5c6lW9fuXbx5AQTgGwDAX8CBBQ8mXNjwYcSJFS9m3NjxY8iRJU+mXNnyZcyZNW/m3NnzZ9ChRY8mXdr0adSpVa9m3dr1a9ixZc+mXdv2bdy5de/m3ds36QDBAwAgXtwr+HHkyZUvZ97c+XMAAaQHAFDd+nXs2bVv597d+3fw4cWPJ1/e/Hn06c0HBAA7\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature15\" 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15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
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output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_output-rotated_1\" class=\"picture-dashboard-MNIST_CNN-175948_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output/kernel:0 has shape (30, 10)\n output/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_hidden-rotated_2\" class=\"picture-dashboard-MNIST_CNN-175948_hidden-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAPP4/dbl9OPu+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIEgABAAgAoKDBgwgTAhAAoCGAgAA7\"><title>Layer: hidden (hidden)\n output range: (0.0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden/kernel:0 has shape (512, 30)\n hidden/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_flat-rotated_3\" class=\"picture-dashboard-MNIST_CNN-175948_flat-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_maxpool2-rotated_4\" class=\"picture-dashboard-MNIST_CNN-175948_maxpool2-rotated\" x=\"75.0\" y=\"325\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"427.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 427.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"310\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 310) translate(2)\" >32</text><text x=\"273.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 540) translate(2)\" >0</text><line x1=\"175.0\" y1=\"554\" x2=\"175.0\" y2=\"527\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"554\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_conv2D_2-rotated_5\" class=\"picture-dashboard-MNIST_CNN-175948_conv2D_2-rotated\" x=\"75.0\" y=\"555\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: conv2D_2 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"657.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 657.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 540) translate(2)\" >32</text><text x=\"273.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 770) translate(2)\" >0</text><text x=\"62.0\" y=\"560\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 560) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"784\" x2=\"175.0\" y2=\"757\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2/kernel:0 has shape (5, 5, 16, 32)\n conv2D_2/bias:0 has shape (32,)</title></line><rect x=\"74.0\" y=\"784\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_maxpool1-rotated_6\" class=\"picture-dashboard-MNIST_CNN-175948_maxpool1-rotated\" x=\"75.0\" y=\"785\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"887.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 887.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 770) translate(2)\" >16</text><text x=\"273.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1000) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1014\" x2=\"175.0\" y2=\"987\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1014\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_conv2D_1-rotated_7\" class=\"picture-dashboard-MNIST_CNN-175948_conv2D_1-rotated\" x=\"75.0\" y=\"1015\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: conv2D_1 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1117.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1117.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1000) translate(2)\" >16</text><text x=\"273.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1230) translate(2)\" >0</text><text x=\"62.0\" y=\"1020\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1020) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1244\" x2=\"175.0\" y2=\"1217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1/kernel:0 has shape (5, 5, 1, 16)\n conv2D_1/bias:0 has shape (16,)</title></line><rect x=\"74.0\" y=\"1244\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-175948_input-rotated_8\" class=\"picture-dashboard-MNIST_CNN-175948_input-rotated\" x=\"75.0\" y=\"1245\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1347.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1347.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1230) translate(2)\" >1</text><text x=\"273.0\" y=\"1460\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1460) translate(2)\" >0</text><text x=\"18\" y=\"735.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 735.0) translate(2)\" >MNIST_CNN</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature0\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature1\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature2\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature3\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature4\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature5\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature6\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature7\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature8\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature9\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature10\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature11\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature12\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature13\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature14\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature15\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
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       "step": null,
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     "cb5b5ec89cae43edac4d24f516007917": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HTMLModel",
      "state": {
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       "value": "\n<table align=\"center\" style=\"width: 100%;\">\n <tr>\n  <td valign=\"top\"><p style=\"text-align:center\"><svg id='MNIST_CNN' xmlns='http://www.w3.org/2000/svg' image-rendering=\"pixelated\" width=\"800.0000000000001px\" height=\"190.47619047619048px\">\n <g  transform=\"rotate(90) translate(0 -800.0000000000001)\" >\n  <svg viewBox=\"0 0 350 1470\" width=\"190.47619047619048px\" height=\"800.0000000000001px\">\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=\"74.0\" y=\"24\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_output_targets_1\" class=\"picture-dashboard-MNIST_CNN-908688_output_targets\" x=\"75.0\" y=\"25\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_output-rotated_1\" class=\"picture-dashboard-MNIST_CNN-908688_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output_4/kernel:0 has shape (30, 10)\n output_4/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_hidden-rotated_2\" class=\"picture-dashboard-MNIST_CNN-908688_hidden-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAPX6/tvp9uHt+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIFwABCAQQAEAAAAAEAFjIsKFDAAEASAwIADs=\"><title>Layer: hidden (hidden)\n output range: (0.0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden/kernel:0 has shape (512, 30)\n hidden/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_flat-rotated_3\" class=\"picture-dashboard-MNIST_CNN-908688_flat-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_maxpool2-rotated_4\" class=\"picture-dashboard-MNIST_CNN-908688_maxpool2-rotated\" x=\"75.0\" y=\"325\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"427.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 427.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"310\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 310) translate(2)\" >32</text><text x=\"273.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 540) translate(2)\" >0</text><line x1=\"175.0\" y1=\"554\" x2=\"175.0\" y2=\"527\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"554\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_conv2D_2-rotated_5\" class=\"picture-dashboard-MNIST_CNN-908688_conv2D_2-rotated\" x=\"75.0\" y=\"555\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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BAGbSrGnzJk4AAwYA6OnzJ9CgQgEMGADgKNKkSpcyBTBgAICoUqdSrWoVwIABALZy7er1K1gAAwYAKGv2LNq0agEMGADgLdy4cufSBTBgAIC8evfy7esXwIABAAYTLmz4MGIAAwYAaOz4MeTIkgEMGBDgMubMmjdzDjBgAIDQokeTLm0awIAB/wBWs27t+jVsAAMGAKht+zbu3LoBDBgA4Dfw4MKHEwcwYACA5MqXM2/uHMCAAQCmU69u/Tp2AAMGAOju/Tv48OIBDBgQ4Dz69OrXsw8wYACA+PLn069vH8CAAQD28+/vHyAAgQMJEhwwAEBChQsZNnQIYMAAABMpVrR4ESOAAQMAdPT4EWRIkQAGDABwEmVKlStZAhgwAEBMmTNp1rQJYMCAADt59vT5E2iAAQMAFDV6FGlSpQAGDADwFGpUqVOpAhgwAEBWrVu5dvUKYMAAAGPJljV7Fi2AAQMAtHX7Fm5cuQAGDABwF29evXv5AhgwAEBgwYMJFzYMYMCAAIsZN/92/BhygAEDAFS2fBlzZs0ABgwA8Bl0aNGjSQMYMABAatWrWbd2DWDAAACzade2fRs3gAEDAPT2/Rt4cOEABgwAcBx5cuXLmQMYMABAdOnTqVe3DmDAgADbuXf3/h18gAEDAJQ3fx59evUABgwA8B5+fPnz6QMYMCBAfv37+ff3DzDAgAEBCho8iDChwgADBgB4CDGixIkUAQwYACCjxo0cO3oEMGAAgJEkS5o8iRLAgAEBWrp8CTOmzAADBgC4iTOnzp08AQwYACCo0KFEixoFMGBAgKVMmzp9CjXAgAEBqlq9ijWr1gADBgD4Cjas2LFkAQwYACCt2rVs27oFMGD/AIC5dOvavYsXwIABAfr6/Qs4sOAAAwYAOIw4seLFjAEMGAAgsuTJlCtbBjBgQIDNnDt7/gw6wIABAUqbPo06teoAAwYAeA07tuzZtAEMGAAgt+7dvHv7BjBgAIDhxIsbP44cwIDlzJs7fw49uvTp1Ktbv449u/bt3Lt75x4gvPjx5MubDzBgQID17Nu7fw8/wIABAOrbv48/v34AAwYIAChA4ECCBQ0eHDBAwEKGDR0+hChgwAAAFS1exJhRI4ABAwB8BBlS5EiSAAYMAJBS5UqWLV0CGDAgwEyaNW3exBlgwIAAPX3+BBpUaIABAwAcRZpU6VKmAAYMEBBV6lSq/1WtChgwQMBWrl29fgUrYMAAAGXNnkWbVi2AAQMAvIUbV+5cugAGDACQV+9evn39AhgwIMBgwoUNH0YcYMCAAI0dP4YcWXKAAQMAXMacWfNmzgAGDBAQWvRo0qVNCxgwQMBq1q1dv4YtYMAAALVt38adWzeAAQMA/AYeXPhw4gAGDACQXPly5s2dAxgQXfp06tWtX8eeXft27t29fwcfXvx48uIFnEefXv169gIGDAgQX/58+vXtBxgwAMB+/v39AwQgcCBBggMGBEiocCHDhg4DDBggYCLFihYvYhQwYICAjh4/ggwpUsCAAQBOokypciVLAAMGAIgpcybNmjYBDP8YIGAnz54+fwIVMGBAgKJGjyJNqjTAgAEAnkKNKnUqVQADBgTIqnUr165eAwwYIGAs2bJmz6IVMGCAgLZu38KNK1fAgAEA7uLNq3cvXwADBgAILHgw4cKGAQwYIGAx48aOH0MWMGBAgMqWL2POrDnAgAEAPoMOLXo0aQADBgRIrXo169auAwwYIGA27dq2b+MWMGCAgN6+fwMPLlzAgAEAjiNPrnw5cwADBgCILn069erWAQwYIGA79+7ev4MXMGCAgPLmz6NPr17AgAEB3sOPL38+/QADBgjIr38///7+AQoYMEBAQYMHESZUKGDAAAEPIUaUOJGigAEDAGTUuJH/Y0ePAAYMADCSZEmTJ1ECGDBAQEuXL2HGlClgwAABN3Hm1LmTp4ABAwIEFTqUaFGjAQYMELCUaVOnT6EKGDBAQFWrV7Fm1SpgwAABX8GGFTuWrIABAwCkVbuWbVu3AAYMADCXbl27d/ECGDBAQF+/fwEHFixgwAABhxEnVryYsYABAwJEljyZcmXLAQYMELCZc2fPn0ELGDBAQGnTp1GnVi1gwAABr2HHlj2btoABAwDk1r2bd2/fAAYMADCceHHjx5EDGDBAQHPnz6FHly5gwAAB17Fn176du4ABAwKEFz+efHnzAQYMELCefXv37+ELGDBAQH379/Hn1y9gwAAB/wAFCBxIsKDBgwMGAFjIsKHDhxABDBgAoKLFixgzagQwYECAjyBDihxJMsCAAQJSqlzJsqVLAQMGAJhJs6bNmzgBDBgQoKfPn0CDCg0wYACAo0iTKl3KFMCAAQGiSp1KtarVAAMGBNjKtavXr2ADDBgAoKzZs2jTqgUwYECAt3Djyp1LN8CAAQLy6t3Lt69fAQMGABhMuLDhw4gBDBgQoLHjx5AjSw4wYACAy5gza97MGcCAAQFCix5NurTpAAMGBFjNurXr17ADDBgAoLbt27hz6wYwYECA38CDCx9OPMCAAQKSK1/OvLlzAQMGAJhOvbr169gBDBgQoLv37+DDi/8PMGAAgPPo06tfzx7AgAEB4sufT7++/QADBgTYz7+/f4ABBA4kSHDAAAAJFS5k2NAhgAEDAkykWNHiRYwBBgwQ0NHjR5AhRQoYMADASZQpVa5kCWDAgAAxZc6kWdNmgAEDAOzk2dPnT6AABgwIUNToUaRJlQYYMCDAU6hRpU6lGmDAAABZtW7l2tUrgAEDAIwlW9bsWbQABgwI0NbtW7hx5QYYMADAXbx59e7lC2DAAACBBQ8mXNgwgAEDACxm3NjxY8gABgwAUNnyZcyZNQMYMEDAZ9ChRY8mLWDAAACpVa9m3do1gAEDAMymXdv2bdwABgwI0Nv3b+DBhQcYMAD/wHHkyZUvZw5gwAAA0aVPp17dOoABAwBs597d+3fwAAYMAFDe/Hn06dUDGDBAwHv48eXPpy9gwAAA+fXv59/fP0AAAwYAKGjwIMKECgEMGBDgIcSIEidSDDBgAICMGjdy7OgRwIABAEaSLGnyJEoAAwYAaOnyJcyYMgEMGADgJs6cOnfyBDBggICgQocSLWpUwIABAJYyber0KVQAAwYAqGr1KtasWgEMGBDgK9iwYseSDTBgAIC0ateybesWwIABAObSrWv3Ll4AAwYA6Ov3L+DAggEMGADgMOLEihczBjBggIDIkidTrmxZwIABADZz7uz5M2gAAwYAKG36NOrU/6oBDBgA4DXs2LJn0wYwYACA3Lp38+7tG8CAAQCGEy9u/DhyAAMGAGju/Dn06NIBDBgA4Dr27Nq3cwcwYACA8OLHky9vHsCAAQDWs2/v/j18AAMGAKhv/z7+/PoBDBgAACAAgQMJFjR4cMAAAAsZNnT4ECKAAQMAVLR4EWNGjQAGDADwEWRIkSNJAhgwAEBKlStZtnQJYMAAADNp1rR5EyeAAQMA9PT5E2hQoQAGDABwFGlSpUuZAhgwAEBUqVOpVrUKYMAAAFu5dvX6FSyAAQMAlDV7Fm1atQAGDADwFm5cuXPpAhgwAEBevXv59vULYMAAAIMJFzZ8GDGAAQMANP92/BhyZMkABgwAcBlzZs2bOQMYMABAaNGjSZc2DWDAAACrWbd2/Ro2gAEDANS2fRt3bt0ABgwA8Bt4cOHDiQMYMABAcuXLmTd3DmDAAADTqVe3fh07gAEDAHT3/h18ePEABgwAcB59evXr2QMYMABAfPnz6de3D2DAAAD7+ff3DxCAwIEECQ4YACChwoUMGzoEMGAAgIkUK1q8iBHAgAEAOnr8CDKkSAADBgA4iTKlypUsAQwYACCmzJk0a9oEMGAAgJ08e/r8CRTAgAEAiho9ijSpUgADBgB4CjWq1KlUAQwYACCr1q1cu3oFMGAAgLFky5o9ixbAgAEA2rp9Czf/rlwAAwYAuIs3r969fAEMGAAgsODBhAsbBjBgAIDFjBs7fgwZwIABACpbvow5s2YAAwYA+Aw6tOjRpAEMGAAgterVrFu7BjBgAIDZtGvbvo0bwIABAHr7/g08uHAAAwYAOI48ufLlzAEMGAAguvTp1KtbBzAgu/bt3Lt7/w4+vPjx5MubP48+vfr17NUHeA8/vvz59AMMGAAgv/79/Pv7BwhgwAAABQ0eRJhQIYABAwA8hBhR4kSKAAYMAJBR40aOHT0CGDAAwEiSJU2eRAlgwAAALV2+hBlTJoABAwDcxJlT506eAAYMCBBU6FCiRY0GGDAAwFKmTZ0+hQpgwAAA/1WtXsWaVSuAAQMAfAUbVuxYsgAGDACQVu1atm3dAhgwAMBcunXt3sULYMAAAH39/gUcWDCAAQMAHEacWPFixgAGDAgQWfJkypUtBxgwAMBmzp09fwYNYMAAAKVNn0adWjWAAQMAvIYdW/Zs2gAGDACQW/du3r19AxgwAMBw4sWNH0cOYMAAAM2dP4ceXTqAAQMAXMeeXft27gAGDAgQXvx48uXNBxgwAMB69u3dv4cPYMAAAPXt38efXz+AAQMAAAQgcCDBggYPDhgAYCHDhg4fQgQwYACAihYvYsyoEcCAAQA+ggwpciRJAAMGAEipciXLli4BDBgQYCbNmjZv4v8MMGAAgJ4+fwINKhTAgAEAjiJNqnQpUwADBgCIKnUq1apWAQwYAGAr165ev4IFMGAAgLJmz6JNqxbAgAEA3sKNK3cuXQADBgDIq3cv375+AQwYEGAw4cKGDyMOMGAAgMaOH0OOLBnAgAEALmPOrHkzZwADBgAILXo06dKmAQwYAGA169auX8MGMGAAgNq2b+POrRvAgAEAfgMPLnw4cQADBgBIrnw58+bOAQwYEGA69erWr2MPMGAAgO7ev4MPLx7AgAEAzqNPr349ewADBgCIL38+/fr2AQwYAGA///7+AQIQOJAgwQEDACRUuJBhQ4cABgwAMJFiRYsXMQIYMAD/QEePH0GGFAlgQEmTJ1GmVLmSZUuXL2HGlDmTZk2bN3HaDLCTZ0+fP4EGGDAAQFGjR5EmVQpgwAAAT6FGlTqVKoABAwJk1bqVa1evAQYMCDCWbFmzZ9EGGDAAQFu3b+HGlQtgwAAAd/Hm1buXL4ABAwAEFjyYcGHDAAYMCLCYcWPHjyEHGDAAQGXLlzFn1gxgwAAAn0GHFj2aNIABAwKkVr2adWvXAQYMCDCbdm3bt3EHGDAAQG/fv4EHFw5gwAAAx5EnV76cOYABAwBElz6denXrAAYMCLCde3fv38EHGDAAQHnz59GnVw9gwAAA7+HHlz+fPoABAwLk17+ff3///wADDBgQoKDBgwgTKgwwYACAhxAjSpxIEcCAAQAyatzIsaNHAAMGABhJsqTJkygBDBgQoKXLlzBjygwwYACAmzhz6tzJE8CAAQCCCh1KtKhRAAMGBFjKtKnTp1ADDBgQoKrVq1izag0wYACAr2DDih1LFsCAAQDSql3Ltq1bAAMGAJhLt67du3gBDBgQoK/fv4ADCw4wYACAw4gTK17MGMCAAQAiS55MubJlAAMGBNjMubPnz6ADDBgQoLTp06hTqw4wYACA17Bjy55NG8CAAQBy697Nu7dvAAMGABhOvLjx48gBDBgQoLnz59CjSw8wYACA69iza9/OHcCAAQDCi/8fT768eQADBgRYz769+/fwAwwYEKC+/fv48+sPMGAAAIAABA4kWNDgwQEDACxk2NDhQ4gABgwAUNHiRYwZNQIYMCDAR5AhRY4kGWDAAAApVa5k2dIlgAEDAMykWdPmTZwABgwI0NPnT6BBhQYYMCDAUaRJlS5lGmDAAABRpU6lWtUqgAEDAGzl2tXrV7AABgwAUNbsWbRp1QIYMCDAW7hx5c6lG2DAgAB59e7l29dvgAEDAAwmXNjwYcQABgwQ0NjxY8iRJQsYMEDAZcyZNW/mLGDAAAChRY8mXdo0gAEDAKxm3dr1a9gABgwAUNv2bdy5dQMYMCDAb+DBhQ8nHmD/wIAAyZUvZ97ceYABAwBMp17d+nXsAAYMENDd+3fw4cULGDBAwHn06dWvZy9gwAAA8eXPp1/fPoABAwDs59/fP0AAAgcSJDhgAICEChcybOgQwIABASZSrGjxIsYAAwYE6OjxI8iQIgMMGADgJMqUKleyBDBggICYMmfSrGlTwIABAnby7OnzJ1ABAwYAKGr0KNKkSgEMGADgKdSoUqdSBTBgAICsWrdy7eoVwIABAcaSLWv2LNoAAwYEaOv2Ldy4cgMMGADgLt68evfyBTBggIDAggcTLmxYwIABAhYzbuz4MWQBAwYAqGz5MubMmgEMGADgM+jQokeTBjBgAIDU/6pXs27tGsCAAQFm065t+zbuAAMGBOjt+zfw4MIDDBgA4Djy5MqXMwcwYICA6NKnU69uXcCAAQK2c+/u/Tt4AQMGAChv/jz69OoBDBgA4D38+PLn0wcwYACA/Pr38+/vHyCAAQMCFDR4EGFChQEGDAjwEGJEiRMpBhgwAEBGjRs5dvQIYMAAASNJljR5EqWAAQMEtHT5EmZMmQIGDABwE2dOnTt5AhgwAEBQoUOJFjUKYMAAAEuZNnX6FCqAAQMCVLV6FWtWrQEGDAjwFWxYsWPJBhgwAEBatWvZtnULYMAAAXPp1rV7F6+AAQME9PX7F3BgwQIGDABwGHFixYsZA/8YMABAZMmTKVe2DGDAAACbOXf2/Bk0gAEDApQ2fRp1atUBBgwI8Bp2bNmzaQcYMABAbt27eff2DWDAAAHDiRc3fhy5gAEDBDR3/hx6dOkCBgwAcB17du3buQMYMABAePHjyZc3D2DAAADr2bd3/x4+gAEDBNS3fx9/fv0CBgwIADCAwIEECxo8OGAAgIUMGzp8CBHAgAEBKlq8iDGjxgADBgj4CDKkyJEkBQwYICClypUsW7oUMGAAgJk0a9q8iRPAgAEAevr8CTSoUAADBgg4ijSp0qVMBQwYECCq1KlUq1oNMGAAgK1cu3r9ChbAgAEBypo9izat2gADBgh4Czf/rty5dAUMGCAgr969fPv6FTBgAIDBhAsbPowYwIABABo7fgw5smQAAwYIuIw5s+bNnAUMGBAgtOjRpEubDjBgAIDVrFu7fg0bwIABAWrbvo07t+4AAwYI+A08uPDhxAUMGCAgufLlzJs7FzBgAIDp1Ktbv44dwIABALp7/w4+vHgAAwYIOI8+vfr17AUMGBAgvvz59OvbDzBgAID9/Pv7BwhA4ECCBAcMCJBQ4UKGDR0GGDBAwESKFS1exChgwAABHT1+BBlSpIABAwCcRJlS5UqWAAYMABBT5kyaNW0CGDBAwE6ePX3+BCpgwIAARY0eRZpUaYABAwA8hRpV6lSq/wAGDAiQVetWrl29BhgwQMBYsmXNnkUrYMAAAW3dvoUbV66AAQMA3MWbV+9evgAGDAAQWPBgwoUNAxgwQMBixo0dP4YsYMCAAJUtX8acWXOAAQMAfAYdWvRo0gAGDAiQWvVq1q1dBxgwQMBs2rVt38YtYMAAAb19/wYeXLiAAQMAHEeeXPly5gAGDAAQXfp06tWtAxgwQMB27t29fwcvYMCAAOXNn0efXn2AAQMAvIcfX/58+gAGDAiQX/9+/v39AwwwYICAggYPIkyoUMCAAQIeQowocSJFAQMGAMiocSPHjh4BDBgAYCTJkiZPogQwYCXLli5fwowpcybNmjZv4v/MqXMnz54+eQoIKnQo0aJGBQwYIGAp06ZOn0IVMGBAgKpWr2LNqjXAgAECvoINK3YsWQEDBghIq3Yt27ZuBQwYIGAu3bp27+IVMGAAgL5+/wIOLBjAgAEADiNOrHgxYwADBgiILHky5cqWBQwYIGAz586eP4MWMGBAgNKmT6NOrTrAgAECXsOOLXs2bQEDBgjIrXs3796+BQwYIGA48eLGjyMXMGAAgObOn0OPLh3AgAEArmPPrn07dwADBggIL348+fLmBQwYIGA9+/bu38MXMGBAgPr27+PPrz/AgAECAAoQOJBgQYMHBwwQsJBhQ4cPIQoYMEBARYsXMWbUKGD/wAAAH0GGFDmSJIABAwCkVLmSZUuXAAYMEDCTZk2bN3EKGDBAQE+fP4EGFSpgwIAAR5EmVbqUaYABAwRElTqValWrAgYMELCVa1evX8EKGDBAQFmzZ9GmVStgwAAAb+HGlTuXLoABAwDk1buXb1+/AAYMEDCYcGHDhxELGDBAQGPHjyFHlixgwIAAlzFn1ryZc4ABAwSEFj2adGnTAgYMELCadWvXr2ELGDBAQG3bt3Hn1i1gwAAAv4EHFz6cOIABAwAkV76ceXPnAAYMEDCdenXr17ELGDBAQHfv38GHFy9gwIAA59GnV7+efYABAwTElz+ffn37AgYMELCff3///wAFCBxIkOCAAQISKlzIsKFDAQMGAJhIsaLFixgBDBgAoKPHjyBDigQwYICAkyhTqlzJUsCAAQJiypxJs6ZNAQMGBNjJs6fPn0ADDBggoKjRo0iTKhUwYICAp1CjSp1KVcCAAQKyat3KtatXAQMGABhLtqzZs2gBDBgAoK3bt3DjygUwoK7du3jz6t3Lt6/fv4ADCx5MuLDhw4gNB1jMuLHjx5ADDBggoLLly5gzaxYwYACAz6BDix5NGsCAAQFSq17NurXrAAMGAJhNu7bt27gBDBgQoLfv38CDCw8wYECA48iTK1/OPMCAAQCiS59Ovbp1AAMGBNjOvbv37+ADDP8YIKC8+fPo06sXMGAAgPfw48ufTx/AgAEB8uvfz7+/f4ABBgwAUNDgQYQJFQIYMCDAQ4gRJU6kGGDAgAAZNW7k2NFjgAEDAIwkWdLkSZQABgwI0NLlS5gxZQYYMEDATZw5de7kKWDAAABBhQ4lWtQogAEDAixl2tTpU6gBBgwAUNXqVaxZtQIYMCDAV7BhxY4lG2DAgABp1a5l29ZtgAEDAMylW9fuXbwABgwI0NfvX8CBBQcYMEDAYcSJFS9mLGDAAACRJU+mXNkygAEDAmzm3NnzZ9ABBgwAUNr0adSpVQMYMCDAa9ixZc+mHWDAgAC5de/m3dt3gAEDAAwnXtz/+HHkAAYMCNDc+XPo0aUHGDBAwHXs2bVv5y5gwAAA4cWPJ1/ePIABAwKsZ9/e/Xv4AQYMAFDf/n38+fUDGDAgAMAAAgcSLGjw4IABARYybOjwIcQAAwYAqGjxIsaMGgEMGBDgI8iQIkeSDDBggICUKleybOlSwIABAGbSrGnzJk4AAwYE6OnzJ9CgQgMMGADgKNKkSpcyBTBgQICoUqdSrWo1wIABAbZy7er1K9gAAwYAKGv2LNq0agEMGBDgLdy4cufSDTBggIC8evfy7etXwIABAAYTLmz4MGIAAwYEaOz4MeTIkgMMGADgMubMmjdzBjBgQIDQokeTLm06wIAB/wFWs27t+jXsAAMGAKht+zbu3LoBDBgA4Dfw4MKHEwcwYECA5MqXM2/uPMCAAQCmU69u/Tp2AAMGAOju/Tv48OIBDBgA4Dz69OrXswcwYACA+PLn069vH8CAAQL28+/vH6AAgQMJEhwwAEBChQsZNnQIYMAAABMpVrR4ESOAAQMCdPT4EWRIkQEGDABwEmVKlStZAhgwAEBMmTNp1rQJYMAAADt59vT5EyiAAQMAFDV6FGlSpQAGDBDwFGpUqVOpChgwAEBWrVu5dvUKYMAAAGPJljV7Fi2AAQMCtHX7Fm5cuQEGDABwF29evXv5AhgwAEBgwYMJFzYMYMAAAIsZN/92/BgygAEDAFS2fBlzZs0ABgwQ8Bl0aNGjSQsYMABAatWrWbd2DWDAAACzade2fRs3gAEDAvT2/Rt4cOEBBgwAcBx5cuXLmQMYMABAdOnTqVe3DmDAAADbuXf3/h08gAEDAJQ3fx59evUABgwQ8B5+fPnz6QsYMABAfv37+ff3DxDAgAEACho8iDChQgADBgR4CDGixIkUAwwYACCjxo0cO3oEMGAAgJEkS5o8iRLAgAEAWrp8CTOmTAADBgC4iTOnzp08AQwYICCo0KFEixoVMGAAgKVMmzp9ChXAgAEAqlq9ijWrVgADBgT4Cjas2LFkAwwYACCt2rVs27oFMGD/AIC5dOvavYsXwIABAPr6/Qs4sGAAAwYAOIw4seLFjAEMGCAgsuTJlCtbFjBgAIDNnDt7/gwawIABAEqbPo06tWoAAwYEeA07tuzZtAMMGAAgt+7dvHv7BjBgAIDhxIsbP44cwIABAJo7fw49unQAAwYAuI49u/bt3AEMGCAgvPjx5MubFzBgAID17Nu7fw8fwIABAOrbv48/v34AAwYEABhA4ECCBQ0eHDAAwEKGDR0+hAhgwAAAFS1exJhRI4ABAwB8BBlS5EiSAAYMAJBS5UqWLV0CGDBAwEyaNW3exClgwAAAPX3+BBpUKIABAwAcRZpU6VKmAAYMABBV6lSq/1WtAhgwAMBWrl29fgULYMAAAGXNnkWbVi2AAQMAvIUbV+5cugAGDACQV+9evn39AhgwAMBgwoUNH0YMYMAAAI0dP4YcWTKAAQMAXMacWfNmzgAGDAAQWvRo0qVNAxgwAMBq1q1dv4YNYMAAALVt38adWzeAAQMA/AYeXPhw4gAGDACQXPly5s2dAxgwAMB06tWtX8cOYMAAAN29fwcfXjyAAQMAnEefXv169gAGDAAQX/58+vXtAxgwAMB+/v39AwQgcCBBggMGAEiocCHDhg4BDBgAYCLFihYvYgQwYACAjh4/ggwpEsCAAQBOokypciVLAAMGAIgpcybNmjYBDP8YAGAnz54+fwIFMGAAgKJGjyJNqhTAgAEAnkKNKnUqVQADBgDIqnUr165eAQwYAGAs2bJmz6IFMGAAgLZu38KNKxfAgAEA7uLNq3cvXwADBgAILHgw4cKGAQwYAGAx48aOH0MGMGAAgMqWL2POrBnAgAEAPoMOLXo0aQADBgBIrXo169auAQwYAGA27dq2b+MGMGAAgN6+fwMPLhzAgAEAjiNPrnw5cwADBgCILn069erWAQwYAGA79+7ev4MHMGAAgPLmz6NPrx7AgAEA3sOPL38+fQADBgDIr38///7+AQIYMABAQYMHESZUCGDAAAAPIUaUOJEigAEDAGTUuJH/Y0ePAAYMADCSZEmTJ1ECGDAAQEuXL2HGlAlgwAAAN3Hm1LmTJ4ABAwAEFTqUaFGjAAYMALCUaVOnT6ECGDAAQFWrV7Fm1QpgwAAAX8GGFTuWLIABAwCkVbuWbVu3AAYMADCXbl27d/ECGDAAQF+/fwEHFgxgwAAAhxEnVryYMYABAwBEljyZcmXLAAYMALCZc2fPn0EDGDAAQGnTp1GnVg1gwAAAr2HHlj2bNoABAwDk1r2bd2/fAAYMADCceHHjx5EDGDAAQHPnz6FHlw5gwAAA17Fn176dO4ABAwCEFz+efHnzAAYMALCefXv37+EDGDAAQH379/Hn1w9gwAAA/wABCBxIsKDBgwMGAFjIsKHDhxABDBgAoKLFixgzagQwYACAjyBDihxJEsCAAQBSqlzJsqVLAAMGAJhJs6bNmzgBDBgAoKfPn0CDCgUwYACAo0iTKl3KFMCAAQCiSp1KtapVAAMGANjKtavXr2ABDBgAoKzZs2jTqgUwYACAt3Djyp1LF8CAAQDy6t3Lt69fAAMGABhMuLDhw4gBDBgAoLHjx5AjSwYwYACAy5gza97MGcCAAQBCix5NurRpAAMGAFjNurXr17ABDBgAoLbt27hz6wYwYACA38CDCx9OHMCAAQCSK1/OvLlzAAMGAJhOvbr169gBDBgAoLv37+DDi/8HMGAAgPPo06tfzx7AgAEA4sufT7++fQADBgDYz7+/f4AABA4kSHDAAAAJFS5k2NAhgAEDAEykWNHiRYwABgwA0NHjR5AhRQIYMADASZQpVa5kCWDAAAAxZc6kWdMmgAEDAOzk2dPnT6AABgwAUNToUaRJlQIYMADAU6hRpU6lCmDAAABZtW7l2tUrgAEDAIwlW9bsWbQABgwA0NbtW7hx5QIYMADAXbx59e7lC2DAAACBBQ8mXNgwgAEDACxm3NjxY8gABgwAUNnyZcyZNQMYMADAZ9ChRY8mDWDAAACpVa9m3do1gAEDAMymXdv2bdwABgwA0Nv3b+DBhQMYMAD/wHHkyZUvZw5gwAAA0aVPp17dOoABAwBs597d+3fwAAYMAFDe/Hn06dUDGDAAwHv48eXPpw9gwAAA+fXv59/fP0AAAwYSLGjwIMKEChcybOjwIcSIEidSrGiRYoCMGjdy7OgxwIABAEaSLGnyJEoAAwYAaOnyJcyYMgEMGADgJs6cOnfyBDBgAICgQocSLWoUwIABAJYyber0KVQAAwYAqGr1KtasWgEMGADgK9iwYseSBTBgQIC0ateybes2wIABAObSrWv3Ll4AAwYA6Ov3L+DAggEMGADgMOLEihczBjBgAIDIkidTrmwZwIABADZz7uz5M2gAAwYAKG36NOrU/6oBDBgA4DXs2LJn0wYwYECA3Lp38+7tO8CAAQCGEy9u/DhyAAMGAGju/Dn06NIBDBgA4Dr27Nq3cwcwYACA8OLHky9vHsCAAQDWs2/v/j18AAMGAKhv/z7+/PoBDBgAACAAgQMJFjR4cMCAAAsZNnT4EGKAAQMAVLR4EWNGjQAGDADwEWRIkSNJAhgwAEBKlStZtnQJYMAAADNp1rR5EyeAAQMA9PT5E2hQoQAGDABwFGlSpUuZAhgwAEBUqVOpVrUKYMCAAFu5dvX6FWyAAQMAlDV7Fm1atQAGDADwFm5cuXPpAhgwAEBevXv59vULYMAAAIMJFzZ8GDGAAQMANP92/BhyZMkABgwAcBlzZs2bOQMYMABAaNGjSZc2DWDAgACrWbd2/Rp2gAEDANS2fRt3bt0ABgwA8Bt4cOHDiQMYMABAcuXLmTd3DmDAAADTqVe3fh07gAEDAHT3/h18ePEABgwAcB59evXr2QMYMABAfPnz6de3D2DAgAD7+ff3DzCAwIEECQ4YACChwoUMGzoEMGAAgIkUK1q8iBHAgAEAOnr8CDKkSAADBgA4iTKlypUsAQwYACCmzJk0a9oEMGAAgJ08e/r8CRTAgAEAiho9ijSpUgADBgR4CjWq1KlUAwwYACCr1q1cu3oFMGAAgLFky5o9ixbAgAEA2rp9Czf/rlwAAwYAuIs3r969fAEMGAAgsODBhAsbBjBgAIDFjBs7fgwZwIABACpbvow5s2YAAwYE+Aw6tOjRpAMMGAAgterVrFu7BjBgAIDZtGvbvo0bwIABAHr7/g08uHAAAwYAOI48ufLlzAEMGAAguvTp1KtbBzBgAIDt3Lt7/w4ewIABAMqbP48+vXoAAwYEeA8/vvz59AMMGAAgv/79/Pv7BwhgwAAABQ0eRJhQIYABAwA8hBhR4kSKAAYMAJBR40aOHT0CGDAAwEiSJU2eRAlgwAAALV2+hBlTJoABAwDcxJlT506eAAYMCBBU6FCiRY0GGDAAwFKmTZ0+hQpgwAAA/1WtXsWaVSuAAQMAfAUbVuxYsgAGDACQVu1atm3dAhgwAMBcunXt3sULYMAAAH39/gUcWDCAAQMAHEacWPFixgAGDAgQWfJkypUtBxgwAMBmzp09fwYNYMAAAKVNn0adWjWAAQMAvIYdW/Zs2gAGDACQW/du3r19AxgwAMBw4sWNH0cOYMAAAM2dP4ceXTqAAQMAXMeeXft27gAGDAgQXvx48uXNBxgwAMB69u3dv4cPYMAAAPXt38efXz+AAQMAAAQgcCDBggYPDhgAYCHDhg4fQgQwYACAihYvYsyoEcCAAQA+ggwpciRJAAMGAEipciXLli4BDBgQYCbNmjZv4v8MMGAAgJ4+fwINKhTAgAEAjiJNqnQpUwADBgCIKnUq1apWAQwYAGAr165ev4IFMGAAgLJmz6JNqxbAgAEA3sKNK3cuXQADBgDIq3cv375+AQwILHgw4cKGDyNOrHgx48aOH0OOLHkyZckBLmPOrHkz5wADBgAILXo06dKmAQwYAGA169auX8MGMGBAgNq2b+POrTvAgAEBfgMPLnw48QADBgBIrnw58+bOAQwYAGA69erWr2MHMGAAgO7ev4MPLx7AgAEBzqNPr349+wADBgCIL38+/fr2AQwYAGA///7+AQIQOJAgwQEDAiRUuJBhQ4cBBgwIMJFiRYsXMQYYMAD/QEePH0GGFAlgwAAAJ1GmVLmSJYABAwDElDmTZk2bAAYMCLCTZ0+fP4EGGDAAQFGjR5EmVQpgwAAAT6FGlTqVKoABAwJk1bqVa1evAQYMCDCWbFmzZ9EGGDAAQFu3b+HGlQtgwAAAd/Hm1buXL4ABAwAEFjyYcGHDAAYMCLCYcWPHjyEHGDAAQGXLlzFn1gxgwAAAn0GHFj2aNIABAwKkVr2adWvXAQYMCDCbdm3bt3EHGDAAQG/fv4EHFw5gwAAAx5EnV76cOYABAwBElz6denXrAAYMCLCde3fv38EHGDAAQHnz59GnVw9gwAAA7+HHlz+fPoABAwLk17+ff3///wADDBgQoKDBgwgTKgwwYACAhxAjSpxIEcCAAQAyatzIsaNHAAMGABhJsqTJkygBDBgQoKXLlzBjygwwYACAmzhz6tzJE8CAAQCCCh1KtKhRAAMGBFjKtKnTp1ADDBgQoKrVq1izag0wYACAr2DDih1LFsCAAQDSql3Ltq1bAAMGAJhLt67du3gBDBgQoK/fv4ADCw4wYACAw4gTK17MGMCAAQAiS55MubJlAAMGBNjMubPnz6ADDBgQoLTp06hTqw4wYACA17Bjy55NG8CAAQBy697Nu7dvAAMGABhOvLjx48gBDBgQoLnz59CjSw8wYACA69iza9/OHcCAAQDCi/8fT768eQADBgRYz769+/fwAwwYEKC+/fv48+sPMGAAAIAABA4kWNDgwQEDACxk2NDhQ4gABgwAUNHiRYwZNQIYMCDAR5AhRY4kGWDAAAApVa5k2dIlgAEDAMykWdPmTZwABgwI0NPnT6BBhQYYMCDAUaRJlS5lGmDAAABRpU6lWtUqgAEDAGzl2tXrV7AABgwAUNbsWbRp1QIYMCDAW7hx5c6lG2DAAAB59e7l29cvgAEDAAwmXNjwYcQABgwI0NjxY8iRJQcYMCDAZcyZNW/mHGDAAAChRY8mXdo0gAEDAKxm3dr1a9gABgwAUNv2bdy5dQMYMCDAb+DBhQ8nHmD/wAAAyZUvZ97cOYABAwBMp17d+nXsAAYMCNDd+3fw4cUHGDAgwHn06dWvZx9gwAAA8eXPp1/fPoABAwDs59/fP0AAAgcSJDhgAICEChcybOgQwIABASZSrGjxIsYAAwYA6OjxI8iQIgEMGADgJMqUKleyBDBgQICYMmfSrGkzwIABAXby7OnzJ9AAAwYAKGr0KNKkSgEMGADgKdSoUqdSBTBgAICsWrdy7eoVwIABAcaSLWv2LNoAAwYAaOv2Ldy4cgEMGADgLt68evfyBTBgQIDAggcTLmw4wIABARYzbuz4MeQAAwYAqGz5MubMmgEMGADgM+jQokeTBjBgAIDU/6pXs27tGsCAAQFm065t+zbuAAMGAOjt+zfw4MIBDBgA4Djy5MqXMwcwYECA6NKnU69uPcCAAQG2c+/u/Tv4AAMGAChv/jz69OoBDBgA4D38+PLn0wcwYACA/Pr38+/vHyCAAQMCFDR4EGFChQEGDADwEGJEiRMpAhgwAEBGjRs5dvQIYMCAACNJljR5EmWAAQMCtHT5EmZMmQEGDABwE2dOnTt5AhgwAEBQoUOJFjUKYMAAAEuZNnX6FCqAAVOpVrV6FWtWrVu5dvX6FWxYsWPJljVLNkBatWvZtnUbYMCAAHPp1rV7F2+AAQMA9PX7F3BgwQAGDBBwGHFixYsZC/8YMEBAZMmTKVe2LGDAAACbOXf2/Bk0gAEDAJQ2fRp1atUABgwA8Bp2bNmzaQMYMCBAbt27eff2HWDAgADDiRc3fhx5gAEDADR3/hx6dOkABgwQcB17du3buQsYMEBAePHjyZc3L2DAAADr2bd3/x4+gAEDANS3fx9/fv0ABgwAABCAwIEECxo8OGBAgIUMGzp8CDHAgAEBKlq8iDGjxgADBgD4CDKkyJEkAQwYICClypUsW7oUMGCAgJk0a9q8iVPAgAEAevr8CTSoUAADBgA4ijSp0qVMAQwYACCq1KlUq1oFMGBAgK1cu3r9CjbAgAEBypo9izat2gADBgB4Czf/rty5dAEMGCAgr969fPv6FTBggIDBhAsbPoxYwIABABo7fgw5smQAAwYAuIw5s+bNnAEMGAAgtOjRpEubBjBgQIDVrFu7fg07wIABAWrbvo07t+4AAwYA+A08uPDhxAEMGCAgufLlzJs7FzBggIDp1Ktbv45dwIABALp7/w4+vHgAAwYAOI8+vfr17AEMGAAgvvz59OvbBzBgQID9/Pv7BxhA4ECCBAcMCJBQ4UKGDR0GGDAAwESKFS1exAhgwAABHT1+BBlSpIABAwScRJlS5UqWAgYMABBT5kyaNW0CGDAAwE6ePX3+BApgwAAARY0eRZpUKYABAwI8hRpV6lSq/wEGDAiQVetWrl29BhgwAMBYsmXNnkULYMAAAW3dvoUbV66AAQME3MWbV+9evgIGDAAQWPBgwoUNAxgwAMBixo0dP4YMYMAAAJUtX8acWTOAAQMCfAYdWvRo0gEGDAiQWvVq1q1dBxgwAMBs2rVt38YNYMAAAb19/wYeXLiAAQMEHEeeXPly5gIGDAAQXfp06tWtAxgwAMB27t29fwcPYMAAAOXNn0efXj2AAQMCvIcfX/58+gEGDAiQX/9+/v39AwwwYACAggYPIkyoEMCAAQIeQowocSJFAQMGCMiocSPHjh4FDBgAYCTJkiZPogQwYACAli5fwowpE8CAAQBu4v/MqXMnTwADBgQIKnQo0aJGAwwYEGAp06ZOn0INMGAAgKpWr2LNqhXAgAECvoINK3YsWQEDBghIq3Yt27ZuBQwYAGAu3bp27+IFMGAAgL5+/wIOLBjAgAEADiNOrHgxYwADBgSILHky5cqWAwwYEGAz586eP4MOMGAAgNKmT6NOrRrAgAECXsOOLXs2bQEDBgjIrXs3796+BQwYAGA48eLGjyMHMGAAgObOn0OPLh3AgAEArmPPrn07dwADBgQIL348+fLmAwwYEGA9+/bu38MPMGAAgPr27+PPrx/AgAECAAoQOJBgQYMHBwwQsJBhQ4cPIQoYMABARYsXMWbUCGD/wAAAH0GGFDmSJIABAwCkVLmSZUuXAAYMCDCTZk2bN3EGGDAgQE+fP4EGFRpgwAAAR5EmVbqUKYABAwRElTqValWrAgYMELCVa1evX8EKGDAAQFmzZ9GmVQtgwAAAb+HGlTuXLoABAwDk1buXb1+/AAYMCDCYcGHDhxEHGDAgQGPHjyFHlhxgwAAAlzFn1ryZM4ABAwSEFj2adGnTAgYMELCadWvXr2ELGDAAQG3bt3Hn1g1gwAAAv4EHFz6cOIABAwAkV76ceXPnAAZElz6denXr17Fn176de3fv38GHFz+evHgB59GnV7+evYABAwLElz+ffn37AQYMALCff3///wABCBxIkOCAAQESKlzIsKHDAAMGCJhIsaLFixgFDBggoKPHjyBDihQwYACAkyhTqlzJEsCAAQBiypxJs6ZNAAMGCNjJs6fPn0AFDBgQoKjRo0iTKg0wYACAp1CjSp1KFcCAAQGyat3KtavXAAMGCBhLtqzZs2gFDBggoK3bt3DjyhUwYACAu3jz6t3LF8CAAQACCx5MuLBhAAMGCFjMuLHjx5AFDBgQoLLly5gzaw4wYACAz6BDix5NGsCAAQFSq17NurXrAAMGCJhNu7bt27gFDBggoLfv38CDCxcwYACA48iTK1/OHMCAAQCiS59Ovbp1AAMGCNjOvbv37+AFDP8YEKC8+fPo06sPMGAAgPfw48ufTx/AgAEB8uvfz7+/f4ABBgwQUNDgQYQJFQoYMEDAQ4gRJU6kKGDAAAAZNW7k2NEjgAEDAIwkWdLkSZQABgwQ0NLlS5gxZQoYMCDATZw5de7kGWDAAABBhQ4lWtQogAEDAixl2tTpU6gBBgwQUNXqVaxZtQoYMEDAV7BhxY4lK2DAAABp1a5l29YtgAEDAMylW9fuXbwABgwQ0NfvX8CBBQsYMCDAYcSJFS9mHGDAAACRJU+mXNkygAEDAmzm3NnzZ9ABBgwQUNr0adSpVQsYMEDAa9ixZc+mLWDAAAC5de/m3ds3gAEDAAwnXtz/+HHkAAYMENDc+XPo0aULGDAgwHXs2bVv5x5gwAAA4cWPJ1/ePIABAwKsZ9/e/Xv4AQYMEFDf/n38+fULGDBAAEABAgcSLGjw4IABABYybOjwIUQAAwYAqGjxIsaMGgEMGCDgI8iQIkeSFDBgQICUKleybOkywIABAGbSrGnzJk4AAwYE6OnzJ9CgQgMMGCDgKNKkSpcyFTBggICoUqdSrWpVwIABALZy7er1K1gAAwYAKGv2LNq0agEMGCDgLdy4cufSFTBgQIC8evfy7es3wIABAAYTLmz4MGIAAwYEaOz4MeTIkgMMGCDgMubMmjdzFjBggIDQokeTLm1awIAB/wBWs27t+jVsAAMGAKht+zbu3LoBDBgg4Dfw4MKHExcwYECA5MqXM2/uPMCAAQCmU69u/Tp2AAMGBOju/Tv48OIDDBgg4Dz69OrXsxcwYICA+PLn069vX8CAAQD28+/vHyAAgQMJEhwwAEBChQsZNnQIYMAAARMpVrR4EaOAAQMCdPT4EWRIkQEGDABwEmVKlStZAhgwIEBMmTNp1rQZYMAAATt59vT5E6iAAQMEFDV6FGlSpQIGDADwFGpUqVOpAhgwAEBWrVu5dvUKYMAAAWPJljV7Fq2AAQMCtHX7Fm5cuQEGDABwF29evXv5AhgwIEBgwYMJFzYcYMAAAYsZN/92/BiygAEDBFS2fBlzZs0CBgwA8Bl0aNGjSQMYMABAatWrWbd2DWDAAAGzade2fRu3gAEDAvT2/Rt4cOEBBgwAcBx5cuXLmQMYMCBAdOnTqVe3HmDAAAHbuXf3/h28gAEDBJQ3fx59evUCBgwA8B5+fPnz6QMYMABAfv37+ff3DxDAgAECCho8iDChQgEDBgR4CDGixIkUAwwYACCjxo0cO3oEMGBAgJEkS5o8iTLAgAECWrp8CTOmTAEDBgi4iTOnzp08BQwYACCo0KFEixoFMGAAgKVMmzp9ChXAgAECqlq9ijWrVgEDBgT4Cjas2LFkAwwYACCt2rVs27oFMGD/QIC5dOvavYs3wIABAvr6/Qs4sGABAwYIOIw4seLFjAUMGAAgsuTJlCtbBjBgAIDNnDt7/gwawIDRpEubPo06terVrFu7fg07tuzZtGvbpi0gt+7dvHv7FjBggIDhxIsbP45cwIABAZo7fw49uvQAAwYIuI49u/bt3AUMGCAgvPjx5MubFzBggID17Nu7fw9fwIABAOrbv48/v34AAwYAAAhA4ECCBQ0eHDBAwEKGDR0+hChgwAABFS1exJhRo4ABAwJ8BBlS5EiSAQYMEJBS5UqWLV0KGDBAwEyaNW3exClgwAABPX3+BBpUqIABAwAcRZpU6VKmAAYMABBV6lSq/1WtAhgwQMBWrl29fgUrYMAAAWXNnkWbVq2AAQMCvIUbV+5cugEGDBCQV+9evn39ChgwQMBgwoUNH0YsYMAAAY0dP4YcWbKAAQMAXMacWfNmzgAGDAAQWvRo0qVNAxgwQMBq1q1dv4YtYMAAAbVt38adW7eAAQMC/AYeXPhw4gEGDBCQXPly5s2dCxgwQMB06tWtX8cuYMAAAd29fwcfXryAAQMAnEefXv169gAGDAAQX/58+vXtAxgwQMB+/v39AxQgcCBBggMGCEiocCHDhg4FDBgQYCLFihYvYgwwYICAjh4/ggwpUsCAAQJOokypciVLAQMGCIgpcybNmjYFDP8YAGAnz54+fwIFMGAAgKJGjyJNqhTAgAECnkKNKnUqVQEDBgjIqnUr165eBQwYEGAs2bJmz6INMGCAgLZu38KNK1fAgAEC7uLNq3cvXwEDBggILHgw4cKGBQwYAGAx48aOH0MGMGAAgMqWL2POrBnAgAECPoMOLXo0aQEDBghIrXo169auBQwYEGA27dq2b+MOMGCAgN6+fwMPLlzAgAECjiNPrnw5cwEDBgiILn069erWBQwYAGA79+7ev4MHMGAAgPLmz6NPrx7AgAEC3sOPL38+fQEDBgjIr38///7+AQoYMCBAQYMHESZUGGDAAAEPIUaUOJGigAEDBGTUuJH/Y0ePAgYMEDCSZEmTJ1EKGDAAQEuXL2HGlAlgwAAAN3Hm1LmTJ4ABAwQEFTqUaFGjAgYMELCUaVOnT6EKGDAgQFWrV7Fm1RpgwAABX8GGFTuWrIABAwSkVbuWbVu3AgYMEDCXbl27d/EKGDAAQF+/fwEHFgxgwAAAhxEnVryYMYABAwREljyZcmXLAgYMELCZc2fPn0ELGDAgQGnTp1GnVh1gwAABr2HHlj2btoABAwTk1r2bd2/fAgYMEDCceHHjx5ELGDAAQHPnz6FHlw5gwAAA17Fn176dO4ABAwSEFz+efHnzAgYMELCefXv37+ELGDAgQH379/Hn1x9gwAAB/wAFCBxIsKDBgwMGCFjIsKHDhxAFDBggoKLFixgzahQwYACAjyBDihxJEsCAAQBSqlzJsqVLAAMGCJhJs6bNmzgFDBggoKfPn0CDChUwYECAo0iTKl3KNMCAAQKiSp1KtapVAQMGCNjKtavXr2AFDBggoKzZs2jTqhUwYACAt3Djyp1LF8CAAQDy6t3Lt69fAAMGCBhMuLDhw4gFDBggoLHjx5AjSxYwYECAy5gza97MOcCAAQJCix5NurRpAQMGCFjNurXr17AFDBggoLbt27hz6xYwYACA38CDCx9OHMCAAQCSK1/OvLlzAAMGCJhOvbr169gFDBggoLv37+DDi/8XMGBAgPPo06tfzz7AgAEC4sufT7++fQEDBgjYz7+/f4ACBA4kSHDAAAEJFS5k2NChgAEDAEykWNHiRYwABgwA0NHjR5AhRQIYUNLkSZQpVa5k2dLlS5gxZc6kWdPmTZw2A+zk2dPnT6ABBgwQUNToUaRJlQoYMADAU6hRpU6lCmDAgABZtW7l2tVrgAEDAIwlW9bsWbQABgwI0NbtW7hx5QYYMCDAXbx59e7lG2DAAACBBQ8mXNgwgAEDAixm3NjxY8gBBgwQUNnyZcyZNQsYMADAZ9ChRY8mDWDAgACpVa9m3dp1gAEDAMymXdv2bdwABgwI0Nv3b+DBhQcYMCD/wHHkyZUvZx5gwAAA0aVPp17dOoABAwJs597d+3fwAQYMEFDe/Hn06dULGDAAwHv48eXPpw9gwIAA+fXv59/fP8AAAwYAKGjwIMKECgEMGBDgIcSIEidSDDBgQICMGjdy7OgxwIABAEaSLGnyJEoAAwYEaOnyJcyYMgMMGCDgJs6cOnfyFDBgAICgQocSLWoUwIABAZYyber0KdQAAwYAqGr1KtasWgEMGBDgK9iwYseSDTBgQIC0ateybes2wIABAObSrWv3Ll4AAwYE6Ov3L+DAggMMGCDgMOLEihczFjBgAIDIkidTrmwZwIABATZz7uz5M+gAAwYAKG36NOrU/6oBDBgQ4DXs2LJn0w4wYECA3Lp38+7tO8CAAQCGEy9u/DhyAAMGBGju/Dn06NIDDBgg4Dr27Nq3cxcwYACA8OLHky9vHsCAAQHWs2/v/j38AAMGAKhv/z7+/PoBDBgQAGAAgQMJFjR4cMCAAAsZNnT4EGKAAQMAVLR4EWNGjQAGDAjwEWRIkSNJBhgwQEBKlStZtnQpYMAAADNp1rR5EyeAAQMC9PT5E2hQoQEGDABwFGlSpUuZAhgwIEBUqVOpVrUaYMCAAFu5dvX6FWyAAQMAlDV7Fm1atQAGDAjwFm5cuXPpBhgwQEBevXv59vUrYMAAAIMJFzZ8GDGAAQMCNP92/BhyZMkBBgwAcBlzZs2bOQMYMCBAaNGjSZc2HWDAgACrWbd2/Rp2gAEDANS2fRt3bt0ABgwI8Bt4cOHDiQcYMEBAcuXLmTd3LmDAAADTqVe3fh07gAEDAnT3/h18ePEBBgwAcB59evXr2QMYMCBAfPnz6de3H2DAgAD7+ff3DzCAwIEECQ4YACChwoUMGzoEMGBAgIkUK1q8iDHAgAECOnr8CDKkSAEDBgA4iTKlypUsAQwYECCmzJk0a9oMMGAAgJ08e/r8CRTAgAEBiho9ijSp0gADBgR4CjWq1KlUAwwYACCr1q1cu3oFMGBAgLFky5o9izbAgAEC2rp9Czf/rlwBAwYAuIs3r969fAEMGBAgsODBhAsbDjBgAIDFjBs7fgwZwIABASpbvow5s+YAAwYE+Aw6tOjRpAMMGAAgterVrFu7BjBgQIDZtGvbvo07wIABAnr7/g08uHABAwYAOI48ufLlzAEMGBAguvTp1KtbDzBgAIDt3Lt7/w4ewIABAcqbP48+vfoAAwYEeA8/vvz59AMMGAAgv/79/Pv7BwhgwIAABQ0eRJhQYYABAwQ8hBhR4kSKAgYMAJBR40aOHT0CGDAgwEiSJU2eRBlgwAAALV2+hBlTJoABAwLcxJlT506eAQYMCBBU6FCiRY0GGDAAwFKmTZ0+hQpgwIAA/1WtXsWaVWuAAQMEfAUbVuxYsgIGDACQVu1atm3dAhgwIMBcunXt3sUbYMAAAH39/gUcWDCAAQMCHEacWPFixgEGDAgQWfJkypUtBxgwAMBmzp09fwYNYMCAAKVNn0adWnWAAQMEvIYdW/Zs2gIGDACQW/du3r19AxgwIMBw4sWNH0ceYMAAAM2dP4ceXTqAAQMCXMeeXft27gEGDAgQXvx48uXNBxgwAMB69u3dv4cPYMB8+vXt38efX/9+/v39AxwgcCDBggYPIkyocCHDhg4fQoxoEADFihYvYswIYMCAAB4/ggwpcmSAAQMAoEypciXLlgAGDAAgcybNmjZvAv8YMAAAz54+fwINCmDAAABGjyJNqnQpgAEDBECNKnUq1aoCBgwAoHUr165evwIYMAAA2bJmz6JNC2DAgABu38KNK3dugAEDAODNq3cv374ABgwAIHgw4cKGDwMYMAAA48aOH0OODGDAAACWL2POrHkzgAEDBIAOLXo06dICBgwAoHo169auXwMYMAAA7dq2b+PODWDAgAC+fwMPLnx4gAEDACBPrnw58+YABgwAIH069erWrwMYMAAA9+7ev4MPD2DAAADmz6NPr349gAEDBMCPL38+/foCBgwAoH8///7+AQIQOFDggAEAECZUuJBhQwADBgSQOJFiRYsXAwwYAID/Y0ePH0GGBDBgAACTJ1GmVLkSwIABAGDGlDmTZk0AAwYA0LmTZ0+fPwEMGCCAaFGjR5EmFTBgAACnT6FGlToVwIABALBm1bqVa1cAAwYEEDuWbFmzZwMMGACAbVu3b+HGBTBgAAC7d/Hm1bsXwIABAAAHFjyYcGEAAwYAULyYcWPHjwEMGCCAcmXLlzFnFjBgAADPn0GHFj0awIABAFCnVr2adWsAAwYEkD2bdm3btwMMGACAd2/fv4EHBzBgAADjx5EnV74cwIABAKBHlz6denUAAwYA0L6de3fv3wEMGCCAfHnz59GnFzBgAAD37+HHlz8fwIABAPDn17+ff38A/wAHDAhAsKDBgwgTBhgwAIDDhxAjSpwIYMAAABgzatzIsSOAAQMAiBxJsqTJkwAGDADAsqXLlzBjAhgwQIDNmzhz6twpYMAAAECDCh1KtCiAAQMAKF3KtKnTpwAGDAhAtarVq1izBhgwAIDXr2DDih0LYMAAAGjTql3Lti2AAQMAyJ1Lt67duwAGDADAt6/fv4ADAxgwQIDhw4gTK14sYMAAAJAjS55MuTKAAQMAaN7MubPnzwAGDAhAurTp06hTBxgwAIDr17Bjy54NYMAAALhz697NuzeAAQMACB9OvLjx4wAGDADAvLnz59CjAxgwQID169iza98uYMAAAODDi/8fT748gAEDAKhfz769+/cABgwIQL++/fv48wcYMACAf4AABA4kWNBgwQEDACxk2NDhQ4gABgwAUNHiRYwZNQIYMADAR5AhRY4kCWDAAAEpVa5k2dKlgAEDAMykWdPmTZwABgwA0NPnT6BBhQIYMCDAUaRJlS5lGmDAAABRpU6lWtUqgAEDAGzl2tXrV7AABgwAUNbsWbRp1QIYMADAW7hx5c6lC2DAAAF59e7l29evgAEDAAwmXNjwYcQABgwA0NjxY8iRJQMYMCDAZcyZNW/mHGDAAAChRY8mXdo0gAEDAKxm3dr1a9gABgwAUNv2bdy5dQMYMADAb+DBhQ8nDmDowAAByZUvZ97cuYABAwBMp17d+nXsAAYMANDd+3fw4cUDGDAgwHn06dWvZx9gwAAA8eXPp1/fPoABAwDs59/fP0AAAgcSJDhgAICEChcybOgQwIABACZSrGjxIkYAAwYI6OjxI8iQIgUMGADgJMqUKleyBDBgAICYMmfSrGkTwIABAXby7OnzJ9AAAwYAKGr0KNKkSgEMGADgKdSoUqdSBTBgAICsWrdy7eoVwIABAMaSLWv2LFoAAwYIaOv2Ldy4cgUMGADgLt68evfyBTDgL+DAggcTLmz4MOLEihczbuz4MeTIkh8HBAA7\"><title>Layer: conv2D_2 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"657.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 657.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 540) translate(2)\" >32</text><text x=\"273.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 770) translate(2)\" >0</text><text x=\"62.0\" y=\"560\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 560) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"784\" x2=\"175.0\" y2=\"757\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2/kernel:0 has shape (5, 5, 16, 32)\n conv2D_2/bias:0 has shape (32,)</title></line><rect x=\"74.0\" y=\"784\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_maxpool1-rotated_6\" class=\"picture-dashboard-MNIST_CNN-908688_maxpool1-rotated\" x=\"75.0\" y=\"785\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"887.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 887.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 770) translate(2)\" >16</text><text x=\"273.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1000) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1014\" x2=\"175.0\" y2=\"987\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1014\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_conv2D_1-rotated_7\" class=\"picture-dashboard-MNIST_CNN-908688_conv2D_1-rotated\" x=\"75.0\" y=\"1015\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhGAAYAIcAAPP4/dvo9eLt+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAGAAYAEAI/wABCBxIsKDBgwgHBgDAsKFDAAECAJhIseJEAQEEANi4UQCAjyBDihwJUkAAAQBSqlwpIIAAADBjypxJU2aAAABy6tzJs6dPAQEACA0AoKjRo0iPCgggAIBTAAICCAAAIEAAAQCyatUqIEAAAGAFBBAAoGxZAQEEAFjLdq0AAQDiyp0rV0AAAQDy6t3Lt29eAQACCx5MuLDhw4gPCwDAuLHjx5AZBxAAoLLlygIEANjMufNmAQIAiAYgAACAAAAABFgNoLVr1wECAJgNIEAAAQByB9gNoLdv3wICCABAvLgAAQCSBwgAoLlz5wICCAAgIACA69ivBwgAoLv37gIEACgYT748+QABAKhfz769e/UBAgCYT7++/fvzBQDYz7+/f4AABA4kKDAgADs=\"><title>Layer: conv2D_1 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1117.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1117.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1000) translate(2)\" >16</text><text x=\"273.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1230) translate(2)\" >0</text><text x=\"62.0\" y=\"1020\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1020) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1244\" x2=\"175.0\" y2=\"1217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1/kernel:0 has shape (5, 5, 1, 16)\n conv2D_1/bias:0 has shape (16,)</title></line><rect x=\"74.0\" y=\"1244\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-908688_input-rotated_8\" class=\"picture-dashboard-MNIST_CNN-908688_input-rotated\" x=\"75.0\" y=\"1245\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1347.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1347.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1230) translate(2)\" >1</text><text x=\"273.0\" y=\"1460\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1460) translate(2)\" >0</text><text x=\"18\" y=\"735.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 735.0) translate(2)\" >MNIST_CNN</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature0\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature1\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX5/uLt99ro9QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixghBtgYAIDHjyBDhgxAsqRJkgBSqlzJsqXLlzBdBpgZQIDNmzhtAtjJs6fPn0CDCh1KtKhRAAGSKk0KoKnTp1CjSp1KtarVq1gBBNjKtetWAGDDih1LtqzZs2jTql0LIIDbt3DdAphLt67du3jz6t3Lt6/fv4ADCx5M+G6AwwEAKF7MuLHjx5AjS54sOYDly5YBaN7MubPnz6BDiwYQoHQAAahTq14tIIDrAABiy55Nu7bt27hz697Nu7fv38CDCx9OvLjx48hlC1guAIDz59CjS59OPYD1AAKya88eoHsAAODDi/8fT768+fPo06tHL6C9+/YB4gcAQL++/fv48+vfz7+/f4AABA4kSFDAQQEBFAYA0NDhQ4gRJU6kWNHiRYwAAmwMIMDjR48ARI4kWdLkSZQpVa5k2dLlS5gxZc6kWdPmTZYBdO7UCcDnT6BBhQ4lWtToUZ8ClC5lqjTA0wAApE6lWtXqVaxZtVYV0FVAALABAIwlW9bsWbRp1a5l29btW7hx5c6lW9fuXbx59e7l29fvX8CBBQ8mPFbAYQEAFC9m3NjxY8iQA0wOAMDyZcyZMwfg3NkzZwChRY8mXdr0adSmA6wOIMD1a9cBZAcAUNv2bdy5de/m3dv379oBhAcQUNz/+PHiAJQvZ97c+XPo0aVPpy5dwHXs1wNsDwDA+3fw4cWPJ1/e/Hn05gOsZ78ewHv48eXPp1/f/n38+fUDENBfAMAAAgMAKGjwIMKEChcybOjwYcMAEidSlAjgIsaMGjdy7OjxI8iQHwOQDCDgJMqTAFaybOnyJcyYMmfSrDkzAM6cOnEC6OnzJ9CgQocSLWr0KNKkSpcyber0KdSoUqdSrWq1aICsAQBw7er1K9iwYseSLWsWbIC0atMCaOv2Ldy4cufSrWv3btsAevfqBeD3L+DAggcTLmz4sGEBihczVhzgcQAAkidTrmz5MubMmisH6BxAAOjQokcLCGA6AIDU/6pXs27t+jXs2LJbC6gtIADuAAB28+7t+zfw4MKHEy9u/Djy5MqXM2/u/Dn06NKnU69u/Tr27Nq3c+/u/Tv48OLHky9v/jx2AeoFAGjv/j38+PLn069v/z5+AAL2CwDgHyAAgQMJFjR4EGHBAAsDAHD4EGLEiAEoVrRIEUBGjRs5dvT4EWRIjgFIBgBwEmVKlSoDtHT5siUAmTNp1rR5E2fOmwF4BhDwE+jPAEMDADB6FGlSpUuZNnX6FKrRAFMDCLB61WoArQEAdPX6FWxYsWPJljV7tmsAtQEEtHX7ti0AuXPp1rV7F29evXv5yg3wN4AAwYMJCwZwGHFixYsZN/92/Bhy5McCKFemHABzAACbOXf2/Bl0aNGjSZf+LAB1atQBWAcA8Bp2bNmzade2fRt37tsBePfmDQB4cOHDiRc3fhx5cuXIAzR33hxAdOnTqVe3fh17du3buQMQ8F1AAPEBAJQ3fx59evXr2bd3/769APkCAtQPAAB/fv37+ff3DxCAwIEECxo8iDDhwQAMGzpkCCCixIkUK1q8iDGjxo0VA3j8CNIjgJEkS5o8iTKlypUsW64MADOAgJk0ZwK4iTOnzp08e/r8CTTozgBEAwg4ivQogKVMmzp9CjWq1KlUq04NgDWrVqwAunr9Cjas2LFky5o9GzaA2rVs1QJ4Czf/rty5dOvavYs3r969fPv6/Qs4sODBhAsbPow4seLFjBs7fgw58t0AlAMAuIw5s+bNnDt7/gw6tGgAAUoHAIA6terVrFu7fg07tmzWAWrbrg0gt+7dvHv7/g08uPDhwQMYP24cgPLlzJs7fw49uvTp1JUHuI79OoDt3Lt7/w4+vPjx5MuPD4A+PXoA7Nu7fw8/vvz59OvTF4A/v378AfoHAAhA4ECCBQ0eRJhQ4UKGAgU8hBjxYQCKAQBcxJhR40aOHT1+1BhAZAABJU2eRCkgwMoAAFy+hBlT5kyaNW3elBlAZwABPX3+BCogwNAAAIweRZpU6VKmTZ0+VSpAqoAAJ1UDAMCaVetWrl29fgUbVixYAWUFBEAbAMBatm3dvoUbV+5cunMDAgA7\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature2\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature3\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature4\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/uPt+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDiuwYoGQAAChTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarPAFgDANjKtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhw4gTK17MuLHjx5AjS54sNoDlAAAya97MubPnz6BDix5NmnOA0wEAqF7NurXr17Bjy55Nu7bt27hz697Nu7fv38CDCx9OvLjx48iTK1/OvLnz59CjS59Ovbr169iza9/Ovbv37+DDi6IfT768+fPo06tfz769+/fw48ufT7++/fv48x8PwD8AAIAABA4kWNDgQYQJFS5k2DDAwwAAJE6kWNHiRYwZNW7k2LFiAJABAIwkWdLkSZQpVa5k2dIlgAAxAwCgWdPmTZw5de7k2dPnT6BBhQ4lWtToUaRJlS5l2tTpU6hRpU6lWtXqVaxZtW7l2tXrV7BhxY4lW9bsWbRp1a5l29btW7g5AwIAOw==\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature5\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature6\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature7\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature8\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature9\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature10\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature11\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPX5/uXv+QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAI/wABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsSOAACADABhJsqTJkyhTqlzJsqXLlzBjypwJIIDNAABy6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/TAIADABhMuLDhw4gTK17MuLHjx5AjS55MubLly5gza97sOIDnAABCix5NurTp06hTq17NurXr17Bjy55Nu7bt27hz697Nu7fv38CDCx9OvLjx48iTK1/OvLnz59CjS59Ovbr169iza9/Ovbv37+DDi6wfT768+fPnA6gPAKC9+/fw48ufT7++/fv4AQTYHwCAf4AABA4kWNDgQYQJFS5k2NDhQ4gRJU6kWNHiRYwZNW7k2NHjR5AhRY6cGMBkAAApVa5k2dLlS5gxZc6kCSDAzQAAdO7k2dPnT6BBhQ4lWtToUaRJlS5l2tTpU6hRpU6lWtXqVaxZtW7l2tXrV7BhxY4lW9bsWbRp1a5l29btW7hx5c6lW9fuXbx5nwYEADs=\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature12\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature13\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature14\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature15\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
      }
     },
     "cbb6e834317c493b82befc579ddb15a0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "FloatTextModel",
      "state": {
       "description": "Feature scale:",
       "layout": "IPY_MODEL_569183ff6be54675ace2fb9f2a94278a",
       "step": null,
       "style": "IPY_MODEL_52e4bec2745742c2ab984b29a433fa39",
       "value": 1
      }
     },
     "cbd515d1a835464fb77b5d2dd033ef26": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "width": "100%"
      }
     },
     "cc19cec5b1204a01a849da27137d32ce": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {
       "height": "40px"
      }
     },
     "cc24106edd3044f8b002232613c0f5a8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": "initial"
      }
     },
     "cc34aa3d5f5a445db51f8f37c6e6aedc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "HBoxModel",
      "state": {
       "children": [
        "IPY_MODEL_453a6d3c7b264dd3bda596c282692db8",
        "IPY_MODEL_ff623b8e7829449baa972612396657fd"
       ],
       "layout": "IPY_MODEL_bd3c059382384b21a22054cb3dd01a9b"
      }
     },
     "cc5ffca3f99c47029ece391d884d4dba": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "IntSliderModel",
      "state": {
       "continuous_update": false,
       "description": "Dataset index",
       "layout": "IPY_MODEL_83d6abe218f341daa4e73623558ec4b8",
       "max": 59999,
       "style": "IPY_MODEL_c0aeffb630844021a3df3ebaae25fe83"
      }
     },
     "cc6169046a1b4b07a7fba31902217112": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "Show Targets",
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output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"52.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 52.0) translate(2)\" >targets</text><line x1=\"87.5\" y1=\"80\" x2=\"262.5\" y2=\"80\" stroke=\"green\" stroke-width=\"2\"><title></title></line><rect x=\"74.0\" y=\"84\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_output-rotated_1\" class=\"picture-dashboard-MNIST_CNN-219777_output-rotated\" x=\"75.0\" y=\"85\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: output (output)\n output range: (0.0, 1.0)\n shape = (10,)\n Keras class = Dense\n activation = softmax</title></image><text x=\"288.0\" y=\"112.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 112.0) translate(2)\" >output</text><line x1=\"175.0\" y1=\"164\" x2=\"175.0\" y2=\"137\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from hidden to output\n output/kernel:0 has shape (30, 10)\n output/bias:0 has shape (10,)</title></line><rect x=\"74.0\" y=\"164\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_hidden-rotated_2\" class=\"picture-dashboard-MNIST_CNN-219777_hidden-rotated\" x=\"75.0\" y=\"165\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhHgABAIcAAPL3/dnn9AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAHgABAAAIGwABCAQQAIBBAAEAKAQQAIDDhw4DAJgYAACAgAA7\"><title>Layer: hidden (hidden)\n output range: (0.0, +Infinity)\n shape = (30,)\n Keras class = Dense\n activation = relu</title></image><text x=\"288.0\" y=\"192.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 192.0) translate(2)\" >hidden</text><line x1=\"175.0\" y1=\"244\" x2=\"175.0\" y2=\"217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from flat to hidden\n hidden/kernel:0 has shape (512, 30)\n hidden/bias:0 has shape (30,)</title></line><rect x=\"74.0\" y=\"244\" width=\"202\" height=\"52\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_flat-rotated_3\" class=\"picture-dashboard-MNIST_CNN-219777_flat-rotated\" x=\"75.0\" y=\"245\" height=\"50\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhAAIBAIcAAPv6/ejo/9fX/8jI/7q6/6Wl/5iY/4WF/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAAAIBAAAI/wADABAQAEAAAwEABADAUECAAAIASAwAAIAAAQAEANgIIEAAAAFCCjgQAAAAAQAAFBAgYAAAAQAEAAAgYAAAAQByAhAQAICAAQACGBAAAAABAAAMAAAgQMAAAAIAAAgwIAAAAQCyBgAAIMCAAAEGCAAAQAAAAAMABAgAYACAAAAABAAQAEAAAAAEBAAAQIAAAAAGABhMGEAAAQEACAAQAIDjAQACBABAGUAAAAIEABBgAIDnAQAAGAhQQAAAAQAEAAAwoAAAAQBiBxAAAEAAAQAGHAggAEABAAAKADAwIAABAQMCABBAQEAAANADCAAAQMAAAAEIANg+AACAAQACCP8IQEDAAADoBQwAMAAAgAAA4ssHQAAAAAEBAAAIAEBAAIAABAAgCCDAAAABAgBg2FCAgAABCgQAICAAAAACAAQQAIBAAAEAAAwoAEAAAAABAAAYAECAgAADDgQIAEAAAAAGAAQgAIBAgAEBAhAgAEAAAKQCCAQAEAAAAAEEAEwtAAAAAQAACAgQEEBAAAABAggAEAAAAAECAAAYAADAgAIBAAgIAADAAAAACAAYECAAAAABBAAIAMDwYQADAgAQYCAAgAAAJA8IEKAAgAIBBADgTABAgAAARAMIAIDAgAACCgQA0Lr1gAAACAAgAEAAAAABCAQAIADAbwABAAAYECAdgAABAAAIAABgAAAAAQAECCAgAIAAALQHANA9QEAAOw==\"><title>Layer: flat (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = Flatten</title></image><text x=\"288.0\" y=\"272.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 272.0) translate(2)\" >flat</text><line x1=\"175.0\" y1=\"324\" x2=\"175.0\" y2=\"297\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool2 to flat</title></line><rect x=\"74.0\" y=\"324\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_maxpool2-rotated_4\" class=\"picture-dashboard-MNIST_CNN-219777_maxpool2-rotated\" x=\"75.0\" y=\"325\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool2 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"427.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 427.0) translate(2)\" >maxpool2</text><text x=\"88.0\" y=\"310\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 310) translate(2)\" >32</text><text x=\"273.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 540) translate(2)\" >0</text><line x1=\"175.0\" y1=\"554\" x2=\"175.0\" y2=\"527\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_2 to maxpool2</title></line><rect x=\"74.0\" y=\"554\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_conv2D_2-rotated_5\" class=\"picture-dashboard-MNIST_CNN-219777_conv2D_2-rotated\" x=\"75.0\" y=\"555\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: conv2D_2 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"657.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 657.0) translate(2)\" >conv2D_2</text><text x=\"88.0\" y=\"540\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 540) translate(2)\" >32</text><text x=\"273.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 770) translate(2)\" >0</text><text x=\"62.0\" y=\"560\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 560) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"784\" x2=\"175.0\" y2=\"757\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from maxpool1 to conv2D_2\n conv2D_2/kernel:0 has shape (5, 5, 16, 32)\n conv2D_2/bias:0 has shape (32,)</title></line><rect x=\"74.0\" y=\"784\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_maxpool1-rotated_6\" class=\"picture-dashboard-MNIST_CNN-219777_maxpool1-rotated\" x=\"75.0\" y=\"785\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" 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\"><title>Layer: maxpool1 (hidden)\n output range: (-Infinity, +Infinity)\n Keras class = MaxPooling2D</title></image><text x=\"288.0\" y=\"887.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 887.0) translate(2)\" >maxpool1</text><text x=\"88.0\" y=\"770\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 770) translate(2)\" >16</text><text x=\"273.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1000) translate(2)\" >0</text><line x1=\"175.0\" y1=\"1014\" x2=\"175.0\" y2=\"987\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from conv2D_1 to maxpool1</title></line><rect x=\"74.0\" y=\"1014\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_conv2D_1-rotated_7\" class=\"picture-dashboard-MNIST_CNN-219777_conv2D_1-rotated\" x=\"75.0\" y=\"1015\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,R0lGODdhGAAYAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAGAAYAEAIKQABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDPgwIADs=\"><title>Layer: conv2D_1 (hidden)\n output range: (0.0, +Infinity)\n dropout = 0.2\n Keras class = Conv2D\n activation = relu</title></image><text x=\"288.0\" y=\"1117.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1117.0) translate(2)\" >conv2D_1</text><text x=\"88.0\" y=\"1000\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1000) translate(2)\" >16</text><text x=\"273.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1230) translate(2)\" >0</text><text x=\"62.0\" y=\"1020\" font-family=\"monospace\" font-size=\"24.0\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 62.0 1020) translate(2)\" >&#10683;</text><line x1=\"175.0\" y1=\"1244\" x2=\"175.0\" y2=\"1217\" stroke=\"black\" stroke-width=\"2\" marker-end=\"url(#arrow)\"><title>Weights from input to conv2D_1\n conv2D_1/kernel:0 has shape (5, 5, 1, 16)\n conv2D_1/bias:0 has shape (16,)</title></line><rect x=\"74.0\" y=\"1244\" width=\"202\" height=\"202\" style=\"fill:none;stroke:black;stroke-width:2\"/><image id=\"picture-dashboard-MNIST_CNN-219777_input-rotated_8\" class=\"picture-dashboard-MNIST_CNN-219777_input-rotated\" x=\"75.0\" y=\"1245\" height=\"200\" width=\"200\" preserveAspectRatio=\"none\" href=\"data:image/gif;base64,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\"><title>Layer: input (input)\n output range: (0.0, 1.0)\n shape = (28, 28, 1)\n Keras class = Input</title></image><text x=\"288.0\" y=\"1347.0\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 288.0 1347.0) translate(2)\" >input</text><text x=\"88.0\" y=\"1230\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 88.0 1230) translate(2)\" >1</text><text x=\"273.0\" y=\"1460\" font-family=\"monospace\" font-size=\"12\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 273.0 1460) translate(2)\" >0</text><text x=\"18\" y=\"735.0\" font-family=\"monospace\" font-size=\"15\" text-anchor=\"middle\" fill=\"black\" alignment-baseline=\"central\"  transform=\"rotate(-90 18 735.0) translate(2)\" >MNIST_CNN</text></svg></g></svg></p></td>\n</tr>\n<tr>\n  <td valign=\"top\" align=\"center\"><p style=\"text-align:center\"><b>conv2D_1 features</b></p><table><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature0\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 0</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature1\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 1</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature2\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 2</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature3\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 3</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature4\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 4</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature5\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 5</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature6\" src=\"data:image/gif;base64,R0lGODdhYABgAIcAAPb6/gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAYABgAEAInAABCBxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhwyQDAgA7\"/><br/><center>Feature 6</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature7\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 7</center></td></tr><tr><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature8\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 8</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature9\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 9</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature10\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 10</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature11\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 11</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature12\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 12</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature13\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 13</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature14\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 14</center></td><td style=\"border: 1px solid black;\"><img style=\"image-rendering: pixelated;\" class=\"MNIST_CNN_conv2D_1_feature15\" src=\"data:image/gif;base64,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\"/><br/><center>Feature 15</center></td></tr><tr></tr></table></td>\n</tr>\n</table>"
      }
     },
     "f638c930048546c2a6c32ea85d97a600": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "f661aa1e67704bed86b036f4a9c8584c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.1.0",
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