{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " TENSOR FLOW - NEURAL NETWORK\n", "
\n", "\n", "
\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Introduction" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "PACKAGES LOADED\n" ] } ], "source": [ "import numpy as np\n", "import tensorflow as tf\n", "print (\"PACKAGES LOADED\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Session\n", "\n", "A session is the basic building block for running machine learning and tensor flow operations.\n", "\n", "Here we create a new session called sess\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "OPEN SESSION\n" ] } ], "source": [ "\n", "sess = tf.Session()\n", "print (\"OPEN SESSION\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have a session, we can define some tensor flow . The simpliest is the constant" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Tensor(\"Const:0\", shape=(), dtype=string)\n", "b'Hello World'\n" ] } ], "source": [ "hello = tf.constant(\"Hello World\")\n", "print(type(hello))\n", "print(hello)\n", "print(sess.run(hello))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also define floats and ints" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tensor(\"Const_1:0\", shape=(), dtype=float32)\n", "Tensor(\"Const_2:0\", shape=(), dtype=int32)\n", "Tensor(\"Const_3:0\", shape=(), dtype=float32)\n" ] } ], "source": [ "a = tf.constant(1.5)\n", "b = tf.constant(int(2))\n", "print(a)\n", "print(b)\n", "c = tf.constant(2.5)\n", "print(c)\n" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.14293435\n", "Tensor(\"Add_3:0\", shape=(), dtype=float32) Tensor(\"add_4:0\", shape=(), dtype=float32) Tensor(\"Mul_1:0\", shape=(), dtype=float32) Tensor(\"mul_5:0\", shape=(), dtype=float32)\n", "1.5952896 1.5952896 0.14293435 0.14293435\n" ] } ], "source": [ "print(sess.run(a*c))\n", "d = tf.add(a,c)\n", "e = tf.multiply(a,c)\n", "print(d,a+c,e,a*c)\n", "print(sess.run(d),sess.run(a+c),sess.run(e),sess.run(a*c))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Variables" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can define variables:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "weight = tf.Variable(tf.random_normal([5,2], stddev=0.1))\n", "print(weight)\n" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "scrolled": true }, "outputs": [ { "ename": "FailedPreconditionError", "evalue": "Attempting to use uninitialized value Variable\n\t [[Node: _retval_Variable_0_0 = _Retval[T=DT_FLOAT, index=0, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](Variable)]]", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mFailedPreconditionError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m 1349\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1350\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1351\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[0;34m(session, feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[1;32m 1328\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1329\u001b[0;31m status, run_metadata)\n\u001b[0m\u001b[1;32m 1330\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py\u001b[0m in \u001b[0;36m__exit__\u001b[0;34m(self, type_arg, value_arg, traceback_arg)\u001b[0m\n\u001b[1;32m 472\u001b[0m \u001b[0mcompat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc_api\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_Message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 473\u001b[0;31m c_api.TF_GetCode(self.status.status))\n\u001b[0m\u001b[1;32m 474\u001b[0m \u001b[0;31m# Delete the underlying status object from memory otherwise it stays alive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mFailedPreconditionError\u001b[0m: Attempting to use uninitialized value Variable\n\t [[Node: _retval_Variable_0_0 = _Retval[T=DT_FLOAT, index=0, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](Variable)]]", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[0;31mFailedPreconditionError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 893\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 894\u001b[0m result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[0;32m--> 895\u001b[0;31m run_metadata_ptr)\n\u001b[0m\u001b[1;32m 896\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 897\u001b[0m \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 1126\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1127\u001b[0m results = self._do_run(handle, final_targets, final_fetches,\n\u001b[0;32m-> 1128\u001b[0;31m feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[1;32m 1129\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1130\u001b[0m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_run\u001b[0;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 1342\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1343\u001b[0m return self._do_call(_run_fn, self._session, feeds, fetches, targets,\n\u001b[0;32m-> 1344\u001b[0;31m options, run_metadata)\n\u001b[0m\u001b[1;32m 1345\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1346\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m 1361\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1362\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1363\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode_def\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1364\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1365\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_extend_graph\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mFailedPreconditionError\u001b[0m: Attempting to use uninitialized value Variable\n\t [[Node: _retval_Variable_0_0 = _Retval[T=DT_FLOAT, index=0, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](Variable)]]" ] } ], "source": [ "print(sess.run(weight))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Why the Error\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Variables have to be initialized.\n", "\n", "tf.variables_initializer takes as input a list of variables and returns a function which can be run which will initialize your variables." ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[-0.02364037 -0.2272053 ]\n", " [-0.08885183 0.15246117]\n", " [-0.06574409 -0.26573423]\n", " [ 0.04045184 -0.13918498]\n", " [-0.04854376 -0.04594936]]\n" ] } ], "source": [ "init = tf.variables_initializer([weight])\n", "sess.run(init)\n", "print(sess.run(weight))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Placeholder" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Creates a placeholder for a variable which can be/will be inputted later. Similar to initializing variables in C++ and Fortran, but we can perform operations on them.\n" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = tf.placeholder(tf.float32, shape=(1024,1024))\n", "y = tf.matmul(x,x)\n" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "ename": "InvalidArgumentError", "evalue": "You must feed a value for placeholder tensor 'Placeholder_5' with dtype float and shape [1024,1024]\n\t [[Node: Placeholder_5 = Placeholder[dtype=DT_FLOAT, shape=[1024,1024], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n\nCaused by op 'Placeholder_5', defined at:\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/runpy.py\", line 193, in _run_module_as_main\n \"__main__\", mod_spec)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/runpy.py\", line 85, in _run_code\n exec(code, run_globals)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel_launcher.py\", line 16, in \n app.launch_new_instance()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/traitlets/config/application.py\", line 658, in launch_instance\n app.start()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelapp.py\", line 486, in start\n self.io_loop.start()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/ioloop.py\", line 177, in start\n super(ZMQIOLoop, self).start()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tornado/ioloop.py\", line 888, in start\n handler_func(fd_obj, events)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n return fn(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\n self._handle_recv()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\n self._run_callback(callback, msg)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\n callback(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n return fn(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 283, in dispatcher\n return self.dispatch_shell(stream, msg)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 233, in dispatch_shell\n handler(stream, idents, msg)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 399, in execute_request\n user_expressions, allow_stdin)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/ipkernel.py\", line 208, in do_execute\n res = shell.run_cell(code, store_history=store_history, silent=silent)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/zmqshell.py\", line 537, in run_cell\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2728, in run_cell\n interactivity=interactivity, compiler=compiler, result=result)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2850, in run_ast_nodes\n if self.run_code(code, result):\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2910, in run_code\n exec(code_obj, self.user_global_ns, self.user_ns)\n File \"\", line 1, in \n x = tf.placeholder(tf.float32, shape=(1024,1024))\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py\", line 1680, in placeholder\n return gen_array_ops._placeholder(dtype=dtype, shape=shape, name=name)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py\", line 3141, in _placeholder\n \"Placeholder\", dtype=dtype, shape=shape, name=name)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py\", line 787, in _apply_op_helper\n op_def=op_def)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/ops.py\", line 3160, in create_op\n op_def=op_def)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/ops.py\", line 1625, in __init__\n self._traceback = self._graph._extract_stack() # pylint: disable=protected-access\n\nInvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Placeholder_5' with dtype float and shape [1024,1024]\n\t [[Node: Placeholder_5 = Placeholder[dtype=DT_FLOAT, shape=[1024,1024], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m 1349\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1350\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1351\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[0;34m(session, feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[1;32m 1328\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1329\u001b[0;31m status, run_metadata)\n\u001b[0m\u001b[1;32m 1330\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py\u001b[0m in \u001b[0;36m__exit__\u001b[0;34m(self, type_arg, value_arg, traceback_arg)\u001b[0m\n\u001b[1;32m 472\u001b[0m \u001b[0mcompat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc_api\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_Message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 473\u001b[0;31m c_api.TF_GetCode(self.status.status))\n\u001b[0m\u001b[1;32m 474\u001b[0m \u001b[0;31m# Delete the underlying status object from memory otherwise it stays alive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mInvalidArgumentError\u001b[0m: You must feed a value for placeholder tensor 'Placeholder_5' with dtype float and shape [1024,1024]\n\t [[Node: Placeholder_5 = Placeholder[dtype=DT_FLOAT, shape=[1024,1024], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[0;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 893\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 894\u001b[0m result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[0;32m--> 895\u001b[0;31m run_metadata_ptr)\n\u001b[0m\u001b[1;32m 896\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 897\u001b[0m \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 1126\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1127\u001b[0m results = self._do_run(handle, final_targets, final_fetches,\n\u001b[0;32m-> 1128\u001b[0;31m feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[1;32m 1129\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1130\u001b[0m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_run\u001b[0;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 1342\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1343\u001b[0m return self._do_call(_run_fn, self._session, feeds, fetches, targets,\n\u001b[0;32m-> 1344\u001b[0;31m options, run_metadata)\n\u001b[0m\u001b[1;32m 1345\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1346\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m 1361\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1362\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1363\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode_def\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1364\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1365\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_extend_graph\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mInvalidArgumentError\u001b[0m: You must feed a value for placeholder tensor 'Placeholder_5' with dtype float and shape [1024,1024]\n\t [[Node: Placeholder_5 = Placeholder[dtype=DT_FLOAT, shape=[1024,1024], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n\nCaused by op 'Placeholder_5', defined at:\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/runpy.py\", line 193, in _run_module_as_main\n \"__main__\", mod_spec)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/runpy.py\", line 85, in _run_code\n exec(code, run_globals)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel_launcher.py\", line 16, in \n app.launch_new_instance()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/traitlets/config/application.py\", line 658, in launch_instance\n app.start()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelapp.py\", line 486, in start\n self.io_loop.start()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/ioloop.py\", line 177, in start\n super(ZMQIOLoop, self).start()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tornado/ioloop.py\", line 888, in start\n handler_func(fd_obj, events)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n return fn(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\n self._handle_recv()\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\n self._run_callback(callback, msg)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\n callback(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n return fn(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 283, in dispatcher\n return self.dispatch_shell(stream, msg)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 233, in dispatch_shell\n handler(stream, idents, msg)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 399, in execute_request\n user_expressions, allow_stdin)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/ipkernel.py\", line 208, in do_execute\n res = shell.run_cell(code, store_history=store_history, silent=silent)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/ipykernel/zmqshell.py\", line 537, in run_cell\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2728, in run_cell\n interactivity=interactivity, compiler=compiler, result=result)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2850, in run_ast_nodes\n if self.run_code(code, result):\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2910, in run_code\n exec(code_obj, self.user_global_ns, self.user_ns)\n File \"\", line 1, in \n x = tf.placeholder(tf.float32, shape=(1024,1024))\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py\", line 1680, in placeholder\n return gen_array_ops._placeholder(dtype=dtype, shape=shape, name=name)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py\", line 3141, in _placeholder\n \"Placeholder\", dtype=dtype, shape=shape, name=name)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py\", line 787, in _apply_op_helper\n op_def=op_def)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/ops.py\", line 3160, in create_op\n op_def=op_def)\n File \"/home/peter/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow/python/framework/ops.py\", line 1625, in __init__\n self._traceback = self._graph._extract_stack() # pylint: disable=protected-access\n\nInvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Placeholder_5' with dtype float and shape [1024,1024]\n\t [[Node: Placeholder_5 = Placeholder[dtype=DT_FLOAT, shape=[1024,1024], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n" ] } ], "source": [ "print(sess.run(y))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Error due to not passing in values for the placeholder." ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[256.2324 254.2128 255.95805 ... 243.20882 258.11218 256.19434]\n", " [259.64276 256.7375 257.56598 ... 248.86572 259.149 258.67688]\n", " [255.29286 254.2767 250.303 ... 240.82176 258.69873 247.91837]\n", " ...\n", " [253.73787 258.95325 254.40843 ... 242.09763 256.19852 254.54424]\n", " [251.51746 250.78815 257.00198 ... 239.89223 253.83813 248.19058]\n", " [261.3467 256.50253 260.25446 ... 250.3718 264.7775 253.50763]]\n" ] } ], "source": [ "rand_array = np.random.rand(1024,1024)\n", "print(sess.run(y, feed_dict={x:rand_array}))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Linear Regression Example" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "Now that we have a tiny experience with tensorflow, we are going to use this to and train a linear regresion." ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sess.close()" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import tensorflow as tf\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "#Define some paramters\n", "learningRate = 0.01\n", "trainingEpochs = 1000\n", "displayStep = 50" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "[ 3.3 4.4 5.5 6.71 6.93 4.168 9.779 6.182 7.59 2.167\n", " 7.042 10.791 5.313 7.997 5.654 9.27 3.1 ]\n" ] } ], "source": [ "xData = np.asarray([3.3,4.4,5.5,6.71,6.93,4.168,9.779,6.182,7.59,2.167,\n", " 7.042,10.791,5.313,7.997,5.654,9.27,3.1])\n", "yData = np.asarray([1.7,2.76,2.09,3.19,1.694,1.573,3.366,2.596,2.53,1.221,\n", " 2.827,3.465,1.65,2.904,2.42,2.94,1.3])\n", "\n", "dataPoints = xData.shape[0]\n", "print(type(xData))\n", "print(xData)\n" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "collapsed": true }, "outputs": [], "source": [ "#Define tensorflow graph\n", "X = tf.placeholder(\"float\")\n", "Y = tf.placeholder(\"float\")\n", "\n", "#Define model variables to be solved for\n", "W = tf.Variable(np.random.randn(), name = 'slope')\n", "b = tf.Variable(np.random.randn(), name = 'y-intercept')\n", "model = W*X + b" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Define cost function\n", "cost = tf.reduce_sum(tf.pow(model - Y,2)/(2*dataPoints))\n", "#Set up gradient descent\n", "optimizer = tf.train.GradientDescentOptimizer(learningRate).minimize(cost)" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "collapsed": true }, "outputs": [], "source": [ "init = tf.variables_initializer([W, b])" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "image/png": 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fb+t9IMkN7a3Ih5Ukj7Xv6LonSb/tOyHJziR72p/Hj3qe8+UA6z0/ye4k+5Mcdu+8OcCa/yrJN5Pcl+TWJMeNep7zySAsjD8CHpq2fS3wu1V1KnAj8GcjmdXC+cl623dV3QBsrqpXA99m8Jbkw9GbqurUaW9DvBy4rarWMPjKlp/5IshFbuZ6HwDeBnx1hHNaaDPXvBN4dVW9FngEeP/opjb/DMI8S7IC+A3gE9N2F3BMu30sP/vBvkVryHpPBP63qh5p2zuBt49ibiMw/Tu9bgDeOsK5LLiqeqiqHh71PJ5PVfXl9vU8AN9g8EHdw4ZBmH9XA38K7J+2793AF5JMMPgsxodGMbEFMnO93wNeMu0phPP46U+6Hy4K+HKSu5Jc0va9rKq+C9D+PGlks5t/w9Z7uJttze8Cvvg8z2lBGYR5lOQtwJNVddeMQ5cBb66qFcD1wF8/75NbAMPW276uZDPw0ST/DvwQmDrAJRazN1bV6xl8LfwfJjlj1BNaYC+29cJzrDnJBxj8vf7HUU1uIRx2L/aN2BuBc5O8Gfg54JgknwdeVVV3tjE3A18a1QTn2bD1/kNVvQP4VYAkG4BXjnCOC6Kq9rY/n0xyK4Ovif/PJC+vqu8meTnw5EgnOY8OsN7D+bWDA645yRbgLcBZdZi9b99HCPOoqt5fVSuqahWDfyXfzuB55WOTPPtLcT0//YLzojVsvVX1jiQnweB/0gPeB/zdCKc575IcneTnn70NbGDwAuuz3+lF+/Ozo5nh/HqO9R62DrTmJBsZ/J0+t6oOu6/u9xHCAmvfBXUx8M/tO52eYvDc4+HsT9rTSUcA11bV7aOe0Dx7GXDr4P+AYilwY1V9Kcku4JYkFwGPM+TrXBapA633t4C/BcaAzye5p6rOHuE859OB1jwOHAnsbMe+UVV/MLppzi8/qSxJAnzKSJLUGARJEmAQJEmNQZAkAQZBktQYBEkSYBAkSY1BkCQB8H+9POzfzvuSigAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0050 cost= 0.099404618 W= 0.33343473 b= 0.19831929\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0100 cost= 0.096810795 W= 0.32844824 b= 0.23419142\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0150 cost= 0.094516754 W= 0.32375845 b= 0.2679296\n" ] }, { "data": { "image/png": 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OTBzSh2P33oERzy3k2Jtf5LUPVma6NLN6y4FgGbVtkzyGnd6N0T/cl8++LOPk26fx28fm8tmXnoDHrKY5ECwrHLZ7G54Z0oezD9iJv0x7jyOHTWbyAp+IaFaTHAiWNZrm5/Lbwr146OIDadSwAWePeoUfPTiLVZ97rgWzmuBAsKxT0HFbnhjcm0GHdebRmUv4/tBJPDF7mc9yNtvCHAiWlRo1zOHH/XanaFAvtm++FZf97TUuHjODj9asy3RpZnWWA8GyWpcdmvHIpQfxv0fvwaQFpXx/6CTGvuJrIpltCQ4Ey3q5OQ246JBdmHDlIey5QzOueXgOZ9w1nfc+/izTpZnVKQ4EqzU6tmrCAxcewPUndeWNpavpN3wyd05+21N2mlUTB4LVKpIYuN+OTBzShz67tea6J9/ixNumMW/pmkyXZlbrORCsVmrbrBF/Pqsnt53Zg2Wrv+D4W1/kTxPme3Y2s83gQLBaSxJHd92eiUP6cEL3dtz6zxKOuXkKxe+tyHRpZrWSA8FqvRaN8/jTqftw33n78WXZBk7980v8+tE3+NSXvzD7VhwIVmccsltrJlx5COce1JH7Xn6fI4dO4p/zl2e6LLNaw4FgdUqT/Fx+fdyejP+fg2iSn8sPR7/KlWNfZ8VnvvyFWVUcCFYn9dxpGx4f3IsrjtiVJ+Ys4/tDJ/HozCU+oc3sv3AgWJ2Vn5vDVX134/HLe9Nh28ZcMXYmF9xbzLLVX2S6NLOs5ECwOm/37bbm4UsO4pfHdmHa25/Qd+hk/vry+2zY4L0Fs/LSCgRJR0maL6lE0jWVLM+XNC5ZPl1Sx6Q9T9JoSXMkzZJ0aLnH5Em6U9ICSW9JOrma1snsG3IaiPN7deKZqw6hW4cW/OIfbzDgrpd5p/TTTJdmljWqDARJOcBIoD/QBRgoqUuFbucDKyOiMzAMuCFpvxAgIroCfYGbJG18zp8DyyNit+T3TtrMdTGrUodtGzPm/P248ZS9eWvZGo4aMYXbXijhK1/+wiytPYT9gJKIeCci1gNjgcIKfQqBe5Pb44EjJInUG/1zABGxHFgFFCT9zgOuT5ZtiIiPN2dFzNIlidMKOjDxR304Yo823Pj0fApvncobS1ZnujSzjEonENoBi8rdX5y0VdonIsqA1UBLYBZQKClXUiegJ9BBUovkcb+T9JqkhyS13Yz1MPvW2mzdiNt/0JM7ftCD0k+/pHDkVP7w1Fu+/IXVW+kEgippqzgat6k+o0gFSDEwHJgGlAG5QHtgakT0AF4C/lTpk0sXSSqWVFxa6jl2rfodtdf2TLyqD6f0aM8dk96m/4gpTH/nk0yXZVbj0gmExUCHcvfbA0s31UdSLtAcWBERZRFxVUR0i4hCoAWwEPgE+Bx4JHn8Q0CPyp48Iu6MiIKIKGjdunWaq2X27TRv3JAbTtmb+y/Yn683BKff+TI/f2QOa9d9lenSzGpMOoHwKrCrpE6S8oABQFGFPkXAOcntU4DnIyIkNZbUBEBSX6AsIuZF6uygx4BDk8ccAczbvFUx23wHd27FhCsP4cLenXjglQ/oO3QyE+d9lOmyzGqE0jlzU9LRpA755ACjIuL3kq4FiiOiSFIjYAzQHVgBDIiId5Kvn04ANgBLgPMj4v3kd+6UPKYFUAr8MCI++G91FBQURHFx8XdaUbNva9aiVfz077N568O1HLfPDvz6uC60apqf6bLMvjVJMyKioMp+telUfgeC1bT1ZRu4Y9Lb3Pp8CU3yc/jlsV04sXs7Ul+iM6sd0g0En6ls9l/k5TZg8BG78sTgXnRq1YQhD87i3NGvsnjl55kuzazaORDM0rBr26156H8O4jfHdeHV91Zw5LDJ3DvtPV/+wuoUB4JZmnIaiHMPTl3+oqDjtvy6aC6n/vklSpavzXRpZtXCgWD2LbXfpjH3/nBfhp62D2+XfsrRI17klucW+vIXVus5EMy+A0mc1KM9E4f04cg923LTsws47pYXmb14VaZLM/vOHAhmm6FV03xuPaMHd51dwMrP13PCyKn8/ol5fLHel7+w2seBYFYN+nZpy7ND+jBgvx25a8q79Bs+mWklvl6j1S4OBLNq0qxRQ647sStjLzqABoIz7p7ONX+fzeovfPkLqx0cCGbV7ICdW/L0lYdwcZ+deWjGYvoOncSEuR9muiyzKjkQzLaARg1z+Fn/7/GPSw+mZdN8Lh4zg0vvn8HytesyXZrZJjkQzLagru2bUzToYK7utzsT31xO36GTeah4EbXpkjFWfzgQzLawhjkNuOywzjx1RW92a9uUq8fP5uxRr7BohS9/YdnFgWBWQ3Zp3ZRxFx3I707Yi9feX8mRwyZzz4vv8rUvf2FZwoFgVoMaNBBnHbATzw7pw4G7tOR3j8/j5NunseAjX/7CMs+BYJYBO7TYinvOKWDEgG58sOJzjrl5CsMnLmB9mS9/YZnjQDDLEEkUdmvHs1cdwtFdt2f4xIUce8sUXv9gZaZLs3rKgWCWYS2b5jNiQHdGnVvA2nVlnHT7NK59bB6fry/LdGlWzzgQzLLE4Xu05ZmrDuEH++/EqKnvcuSwyUxZWJrpsqwecSCYZZGtGzXkdyfsxYMXH0heTgPOuucVfvzQLFZ9vj7TpVk9kFYgSDpK0nxJJZKuqWR5vqRxyfLpkjom7XmSRkuaI2mWpEPLPeaF5HfOTH7aVNM6mdV6+3Xaliev6M1lh+3CI68v4ftDJ/PknGU+oc22qCoDQVIOMBLoD3QBBkrqUqHb+cDKiOgMDANuSNovBIiIrkBf4CZJ5Z/zzIjolvws37xVMatbGjXM4ep+e1A06GC2a57Ppfe/xsVjZvDRGl/+wraMdPYQ9gNKIuKdiFgPjAUKK/QpBO5Nbo8HjpAkUgHyHEDyhr8KKKiOws3qiz13aM4/Lj2Yn/Xfg0kLSvn+0EmMfeUD7y1YtUsnENoBi8rdX5y0VdonIsqA1UBLYBZQKClXUiegJ9Ch3ONGJ4eLfpkEiJlVIjenARf32YWnrzyELts345qH53Dm3dN5/5PPMl2a1SHpBEJlb9QVP5psqs8oUgFSDAwHpgEbv0t3ZnIoqXfyc1alTy5dJKlYUnFpqb9xYfVbp1ZNeODCA7juxK7MWbyafsMnc+fktynzfM5WDdIJhMX856f69sDSTfWRlAs0B1ZERFlEXJWMERQCLYCFABGxJPl3LfA3UoemviEi7oyIgogoaN26dfprZlZHNWggzth/R54d0odenVtz3ZNvcdLt03hz2ZpMl2a1XDqB8Cqwq6ROkvKAAUBRhT5FwDnJ7VOA5yMiJDWW1ARAUl+gLCLmJYeQWiXtDYFjgTeqYX3M6o3tmjfirrN7cusZ3Vm66guOu+VFbnpmPl+WeT5n+25yq+oQEWWSBgETgBxgVETMlXQtUBwRRcA9wBhJJcAKUqEB0AaYIGkDsIR/HxbKT9obJr9zInBXNa6XWb0giWP33oGDd2nF756Yxy3Pl/DknGXccPLeFHTcNtPlWS2j2vRNhYKCgiguLs50GWZZa9KCUv734TksXf0FZx+wE1cftQdN86v83Gd1nKQZEVHlNzx9prJZHdJnt9Y8c9UhnHNgR+57+X36DZvMC/N9io+lx4FgVsc0yc/lN8fvyfj/OYit8nI4d/SrDBk3k5Wf+fIX9t85EMzqqJ47bcMTg3sx+PDOFM1ayveHTqJo1lKf0Gab5EAwq8Pyc3MYcuTuPHZ5L9pvsxWDH3idC+4tZtnqLzJdmmUhB4JZPfC97Zvx8KUH84tjvsfUtz+m79DJ/PXl99ng+ZytHAeCWT2R00Bc0HtnJlx5CHu3b84v/vEGA+56mXdKP810aZYlHAhm9cxOLZtw/wX7c+PJe/PmsjUcNWIKt7/gy1+YA8GsXpLEaft24LkhfTh89zbc8PRbFI6cyhtLVme6NMsgB4JZPdamWSPuOKsnt5/Zg4/WfEnhyKn83+PzWP3FV5kuzTLAgWBm9O+6Pc8N6cOpPdtzz9R3OexPL3D/9Pd9GKmecSCYGQDNGzfkDyfvzWODetG5TVN+/sgbHHvLi0wt+TjTpVkNcSCY2X/Yq11zxl10ALef2YNPvyzjzLunc8G9xbz7sSfjqescCGb2DZLo33V7Jg7pw0+O2p2X3v6YI4dN4vdPeHyhLnMgmNkmNWqYw6WHduafVx/KSd3bc/eLHl+oyxwIZlalNls34oZTPL5Q1zkQzCxtHl+o2xwIZvateHyh7nIgmNl34vGFuseBYGabxeMLdYcDwcyqhccXar+0AkHSUZLmSyqRdE0ly/MljUuWT5fUMWnPkzRa0hxJsyQdWsljiyS9sZnrYWZZYFPjC9c9+SZr1nl8IdtVGQiScoCRQH+gCzBQUpcK3c4HVkZEZ2AYcEPSfiFARHQF+gI3SfrXc0o6CfDF2M3qmH+NL/z4UE7s3o67przDYX9MjS987Ul5slY6ewj7ASUR8U5ErAfGAoUV+hQC9ya3xwNHSBKpAHkOICKWA6uAAgBJTYEhwP9t7kqYWXZq06wRN56yD48N6sUurVPjC8fcPIVpHl/ISukEQjtgUbn7i5O2SvtERBmwGmgJzAIKJeVK6gT0BDokj/kdcBPw+Xeu3sxqhb3aNWfcxQdwWzK+cMbd07nwPo8vZJt0AkGVtFXc59tUn1GkAqQYGA5MA8okdQM6R8QjVT65dJGkYknFpaWlaZRrZtlIEkeXG1+YVuLxhWyTTiAs5t+f6gHaA0s31UdSLtAcWBERZRFxVUR0i4hCoAWwEDgQ6CnpPeBFYDdJL1T25BFxZ0QURERB69at018zM8tKHl/IXukEwqvArpI6ScoDBgBFFfoUAeckt08Bno+IkNRYUhMASX2BsoiYFxG3R8QOEdER6AUsiIhDq2F9zKyW8PhC9qkyEJIxgUHABOBN4MGImCvpWknHJ93uAVpKKiE1ULzxq6ltgNckvQn8FDirulfAzGo3jy9kD0XUnl20goKCKC4uznQZZraFrPvqa0ZNfZeRz5ew/usN/PDgTgw6vDPNGjXMdGm1mqQZEVFQVT+fqWxmWcPjC5nlQDCzrOPxhcxwIJhZ1vL4Qs1yIJhZVit//sLV/Xz+wpbkQDCzWqFRwxwuO8zjC1uSA8HMapWN4wtFl3l8obo5EMysVura/pvjCxfdV8x7Hl/4zhwIZlZrVRxfmFryMX09vvCdORDMrNbb1PjC36Z/4PGFb8GBYGZ1RsXxhf99ZI7HF74FB4KZ1TkeX/huHAhmVid5fOHbcyCYWZ3m8YX0ORDMrF7w+ELVHAhmVq94fGHTHAhmVu94fKFyDgQzq7fKjy+c0M3jCw4EM6v32jRrxB9PTY0v7Ny6Sb0dX3AgmJklurZvzoMXH8jIM3qwdl39G19wIJiZlSOJY/benud+lBpfeLEejS+kFQiSjpI0X1KJpGsqWZ4vaVyyfLqkjkl7nqTRkuZImiXp0HKPeTppmyvpDkk51bROZmabbeP4wgv1aHyhykBI3qhHAv2BLsBASV0qdDsfWBkRnYFhwA1J+4UAEdEV6AvcJGnjc54WEfsAewGtgVM3c13MzKrdJscX3q574wvp7CHsB5RExDsRsR4YCxRW6FMI3JvcHg8cIUmkAuQ5gIhYDqwCCpL7a5L+uUAeUDcj18zqhG+ML9xV98YX0gmEdsCicvcXJ22V9omIMmA10BKYBRRKypXUCegJdNj4IEkTgOXAWlJB8g2SLpJULKm4tLQ0rZUyM9sSNjW+cH0dGV9IJxBUSVvFT/Ob6jOKVIAUA8OBaUDZvzpE9AO2B/KBwyt78oi4MyIKIqKgdevWaZRrZrZlVRxfuLOOjC+kEwiLKfepHmgPLN1UH0m5QHNgRUSURcRVEdEtIgqBFsDC8g+MiHVAEd88DGVmltXq2vhCOoHwKrCrpE6S8oABpN7AyysCzklunwI8HxEhqbGkJgCS+gJlETFPUlNJ2yftucDRwFvVsD5mZjWurowv5FbVISLKJA0CJgA5wKiImCvpWqA4IoqAe4AxkkqAFaRCA6ANMEHSBmAJcFbS3gQokpSf/M7ngTuqcb3MzGrUxvGFI77XhntefJeR/yyh77BJnHdwJy47vDPNGjXMdIlVUkTtOd5VUFAQxcXFmS7DzKxVzgpTAAAGHklEQVRKy9es448T5jP+tcVs2ziPHx25O6fv24GcBpUNuW5ZkmZEREFV/XymspnZFlAbxxccCGZmW1BtGl9wIJiZbWG15fwFB4KZWQ0pf/5CYbd2/Hlydp2/4EAwM6thbZo14k+n7sNjg7JrfMGBYGaWIZWNL1w8ppj3P8nM+IIDwcwsgyqOL0xZ+DF9h07m+iffZG0Njy84EMzMskD58YXju+2QGl/40ws88ErNjS84EMzMskj58YVOrZrws4dT4wsfrVm3xZ+7yktXmJlZzds4vvDknA95dOYSWjXN3+LP6UAwM8tSG8cXjtl7+xp5Ph8yMjMzwIFgZmYJB4KZmQEOBDMzSzgQzMwMcCCYmVnCgWBmZoADwczMErVqTmVJpcD7ma4j0QrI3rnwUrK9xmyvD1xjdcj2+iD7a9zc+naKiNZVdapVgZBNJBWnM2l1JmV7jdleH7jG6pDt9UH211hT9fmQkZmZAQ4EMzNLOBC+uzszXUAasr3GbK8PXGN1yPb6IPtrrJH6PIZgZmaA9xDMzCzhQEiTpBaSxkt6S9Kbkg6UtK2kZyUtTP7dJoP1XSVprqQ3JD0gqZGkTpKmJ/WNk5RXwzWNkrRc0hvl2irdZkq5WVKJpNmSemSwxj8m/8+zJT0iqUW5ZT9LapwvqV8m6iu37MeSQlKr5H7WbMOk/fJkO82VdGO59oxvQ0ndJL0saaakYkn7Je2Z2oYdJP0zeW+ZK+mKpL1mXy8R4Z80foB7gQuS23lAC+BG4Jqk7RrghgzV1g54F9gquf8gcG7y74Ck7Q7gkhqu6xCgB/BGubZKtxlwNPAUIOAAYHoGazwSyE1u31Cuxi7ALCAf6AS8DeTUdH1JewdgAqnzclpl4TY8DJgI5Cf322TTNgSeAfqX224vZHgbbg/0SG5vDSxItlWNvl68h5AGSc1I/VHdAxAR6yNiFVBIKihI/j0hMxUCqdnvtpKUCzQGlgGHA+OT5TVeX0RMBlZUaN7UNisE7ouUl4EWkrb4NFGV1RgRz0REWXL3ZaB9uRrHRsSXEfEuUALsV9P1JYYBPwHKDwJmzTYELgH+EBFfJn2Wl6sxG7ZhAM2S282BpeXqy8Q2XBYRryW31wJvkvqgV6OvFwdCenYGSoHRkl6XdLekJkDbiFgGqf9QoE0miouIJcCfgA9IBcFqYAawqtwb22JSf2CZtqlt1g5YVK5fttR7HqlPYpAlNUo6HlgSEbMqLMqK+hK7Ab2TQ5aTJO2btGdLjVcCf5S0iNRr52dJe8brk9QR6A5Mp4ZfLw6E9OSS2uW8PSK6A5+R2n3LCslxxUJSu+A7AE2A/pV0zeavlKmStozWK+nnQBlw/8amSrrVaI2SGgM/B35V2eJK2jK1DXOBbUgdzrgaeFCSyJ4aLwGuiogOwFUke/9kuD5JTYG/A1dGxJr/1rWSts2u04GQnsXA4oiYntwfTyogPtq4m5b8u3wTj9/Svg+8GxGlEfEV8DBwEKndyNykT3v+vVucSZvaZotJHRffKKP1SjoHOBY4M5KDtmRHjbuQCv5Zkt5LanhN0nZZUt9Gi4GHk0MarwAbSF2PJ1tqPIfU6wTgIf592Cpj9UlqSCoM7o+IjbXV6OvFgZCGiPgQWCRp96TpCGAeUETqD4vk30czUB6kDhUdIKlx8ilsY33/BE7JgvrK29Q2KwLOTr49cQCweuOuck2TdBTwU+D4iPi83KIiYICkfEmdgF2BV2qytoiYExFtIqJjRHQk9cbQI/kbzZptCPyD1BgWknYj9UWMj8mCbZhYCvRJbh8OLExuZ2QbJq/be4A3I2JouUU1+3qpiRH0uvADdAOKgdmk/ti3AVoCz5H6Y3oO2DaD9f0WeAt4AxhD6lscO5N6sZWQ+hSUX8M1PUBqTOMrUm9c529qm5HaBR5J6lsnc4CCDNZYQur47Mzk545y/X+e1Dif5FsqNV1fheXv8e9vGWXTNswD/pr8Pb4GHJ5N2xDoRWqcbRapY/U9M7wNe5E65DO73N/d0TX9evGZymZmBviQkZmZJRwIZmYGOBDMzCzhQDAzM8CBYGZmCQeCmZkBDgQzM0s4EMzMDID/BzstjZkswmI9AAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0200 cost= 0.092487819 W= 0.31934756 b= 0.29966196\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0250 cost= 0.090693466 W= 0.31519893 b= 0.3295068\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0300 cost= 0.089106530 W= 0.31129706 b= 0.35757622\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0350 cost= 0.087703012 W= 0.3076271 b= 0.38397738\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0400 cost= 0.086461850 W= 0.3041756 b= 0.40880767\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0450 cost= 0.085364223 W= 0.30092937 b= 0.43216053\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0500 cost= 0.084393531 W= 0.29787618 b= 0.45412517\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0550 cost= 0.083535105 W= 0.2950045 b= 0.47478375\n" ] }, { "data": { "image/png": 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sGwcO53DVqFnMW/+j2WhF5DShoJBj6tCoGu/ceQ7VyicyeMwcPvg6/1TpInI6UFDIcTWuUYF37jiHtvWrMPz1hTw3fQ2xMCuiiEROQSGFqlYhkVdv7crP29blockr+cN7S8nJzYt2WSJSTHRTQIlI2TLxPDWwAw2qleP56WvZvPsQTw3qQIUk/QmJxDptUUjE4uKM3/U9i/+9ojWfr8rkutFfkbn3ULTLEpEiFlFQmFkfM1tlZulm9mABnyeZ2YTg8zlm1iRoTzSzcWa2xMwWm1nPoL28mf3HzFaa2TIzeyhsXUPNLMvMFgWPW0/JSOWUuaFbY8YMSWVt1gGufHYWq7fti3ZJIlKECg0KM4sHngH6Aq2AQWbWKl+3W4Bd7t4ceAJ4OGi/DcDd2wC9gcfN7Oh3PubuZwIdgB5m1jdsfRPcvX3wGHOSY5MidNGZtZkwrDvZuXlcNWoWs9Zsj3ZJIlJEItmi6AKku/tad88G3gT65+vTHxgfvJ4I9DIzIxQsnwC4eyawG0h194Pu/lnQng0sABr81MFI8WrToArv3nkOdSqXZcjYubyzICPaJYlIEYgkKOoDG8PeZwRtBfZx9xxgD1ADWAz0N7MEM0sBOgENwxc0s6rA5QSBErjazL42s4lm9oP+YcsNM7M0M0vLysqKYBhSFBpUK8/EO84htXF17v/XYka8v5wjOiNKJKZEEhRWQFv+E+mP1WcsoWBJA0YCs4Cc7xcySwDeAJ5097VB8/tAE3dvC0zj/7ZUfrhy99HunuruqcnJyREMQ4pKlXJlGH9zF4aeE7qh4KDRs9m6Rwe5RWJFJEGRwQ+3AhoA+S/R/b5P8ONfBdjp7jnufl9wrKE/UBVYHbbcaGC1u4882uDuO9z96J3oXiC0FSIlXGJCHH/qdzZPDurA8i17ueypGcxK13ELkVgQSVDMA1qYWYqZJQIDgUn5+kwChgSvBwCfursHZzdVADCz3kCOuy8P3v+FUKDcG74iM6sb9rYfsOIExyRR1K9dPSYN70HV8on84sU5PPNZOnma20KkVCs0KIJjDsOBqYR+tP/l7svMbISZ9Qu6vQjUMLN04H7g6Cm0tYAFZrYC+C1wA4CZNQD+m9DB7gX5ToO9OzhldjFwNzD0FIxTilHzWpV4764e/LxtPR6duorbXk5jz8Ej0S5LRE6SxcJ9e1JTUz0tLS3aZUg+7s74Wev564crqFOlLKMGd6J1/SrRLktEAmY2391TC+unK7OlyJgZQ3ukMOGX3cnJda4aNYsJ876NdlkicoIUFFLkOjaqxge/OpcuTarz27eX8P/eWsyhI5pmVaS0UFBIsahRMYnxN3fh7oua89b8DK58dhbrtx+IdlkiEgEFhRSb+Djj/ktaMu6mzmzZ8x2XP/0lU5dtjXZZIlIIBYUUuwtb1uL94eeSUrMCv3xlPn+fvELzW4iUYAoKiYqG1cvz1u3dGdy1Ec9PX8vgMXPI3KeruUVKIgWFRE1SQjx/vbIN/7i2HYszdvPzJ79k7rqd0S5LRPJRUEjUXdWxAf++qwcVkxIY9MJsRn+heblFShIFhZQIZ9apzKThPeh9Vm3+9uFK7nh1AXsP6WpukZJAQSElRqWyZRj1i478/udn8fGKbfR76ktWbNkb7bJETnsKCilRzIxbz2vKG7d142B2Llc+O5O352tCJJFoUlBIidQlpTof3H0u7RtW5YG3FvO7d5boam6RKFFQSIlVq1JZXr2lK7df0Iw35n7LNc99xcadB6NdlshpR0EhJVpCfBwP9j2TF25MZf2OA1z21Jd8tjIz2mWJnFYUFFIq9G5Vmw9+dS71q5bjppfm8fhHq8jVhEgixUJBIaVG4xoVeOfOc7gutSFPfZrO4DGzydilXVEiRU1BIaVK2TLxPDygLY8OaMuSjD30GTmDCfO+1QV6IkVIQSGl0jWpDZly7/m0rl+Z3769hFvGp5G5V/eKEikKCgoptRpWL8/rt3bjfy5vxcz07Vwy8gveX7w52mWJxBwFhZRqcXHGTT1S+PCe82hSowK/emMhd72+gF0HsqNdmkjMiCgozKyPma0ys3Qze7CAz5PMbELw+RwzaxK0J5rZODNbYmaLzaxn2DKdgvZ0M3vSzCxor25mH5vZ6uC52ikZqcS0ZskVmXh7d/7fz1ry0bKtXDLyCz5ZsS3aZYnEhEKDwszigWeAvkArYJCZtcrX7RZgl7s3B54AHg7abwNw9zZAb+BxMzv6naOAYUCL4NEnaH8Q+MTdWwCfBO9FCpUQH8ddFzbnvbvOpUaFRG4Zn8ZvJi5mn24uKPKTRLJF0QVId/e17p4NvAn0z9enPzA+eD0R6BVsIbQi9GOPu2cCu4FUM6sLVHb3rzx0usrLwBUFrGt8WLtIRFrVq8x7w3twZ89mTJyfQZ+RM5iVvj3aZYmUWpEERX1gY9j7jKCtwD7ungPsAWoAi4H+ZpZgZilAJ6Bh0D/8Tm/h66zt7luCdW0Bap3IgEQgNCnSb/qcycQ7ziEpIY7rx8zhT5OW8V227hclcqIiCQoroC3/SevH6jOWUAikASOBWUBOhOs8flFmw8wszczSsrKyTmRROY10bFSN/9x9HkPPacJLs9bz8ydnsODbXdEuS6RUiSQoMghtBRzVAMh/DuL3fcwsAagC7HT3HHe/z93bu3t/oCqwOujf4Bjr3BbsmiJ4LvDGPu4+2t1T3T01OTk5gmHI6apcYjx/6nc2r9/alcM5eQwYNYtHpqzkcI62LkQiEUlQzANamFmKmSUCA4FJ+fpMAoYErwcAn7q7m1l5M6sAYGa9gRx3Xx7sUtpnZt2CYxk3Au8VsK4hYe0iP8k5zWsy5d7zGNCpAc9+vob+T89k+WZNjCRSmEKDIjjmMByYCqwA/uXuy8xshJn1C7q9CNQws3Tgfv7vTKVawAIzWwH8FrghbNV3AGOAdGANMDlofwjobWarCZ0p9dBPGJ/ID1QqW4ZHBrTjxSGp7DiQTf9nvuTpT1eTk5sX7dJESiyLhXvkpKamelpaWrTLkFJm14Fsfv/eUv7z9RbaNazKP65tR7PkitEuS6TYmNl8d08trJ+uzJbTVrUKiTxzfUeeGtSBDTsOcOk/ZzD2y3Xk6fblIj+goJDT3uXt6vHRvefTo3lNRnywnOvHzNZMeiJhFBQiQK3KZXlxSCqPXN2WpZv20vefun25yFEKCpGAmXFt54ZMvuc83b5cJIyCQiSf/Lcv7/3EF0zS7cvlNKagEClA+O3LU2pW4O43FnLLS/N07EJOSwoKkeM4evvy/7r0TL5au4OL/zGdf05bzaEjuqpbTh8KCpFCJMTHMez8ZnzywAVc3Ko2T0z7hp+N/ILPVhV4dxmRmKOgEIlQ3SrleOb6jrx6S1fi44ybxs1j2MtpZOzS7iiJbQoKkRN0bouaTLnnfH7TpyUzVm/n4n9M55nP0nWTQYlZCgqRk5CYEMedPZsz7YELuLBlLR6duoq+I2cwY7VueS+xR0Eh8hPUr1qOUb/oxEs3dSbPnRtenMtdry1gy57vol2ayCmjoBA5BXq2rMWUe8/ngd5nMG3FNno9Pp3npq8hO0d3pZXST0EhcoqULRPPr3q1YNr9F3BOs5o8NHkllz6p+bql9FNQiJxiDauXZ8yQVF4cksrhnFyuHzOHX72xkG26FYiUUgoKkSLS66zafHzfBdzTqwVTl23losc+Z8yMtRzRJElSyigoRIpQ2TLx3Nf7DD6+73y6pFTnL/9ZwWVPfsmctTuiXZpIxBQUIsWgcY0KjB3amdE3dGL/4RyuGz2b+yYsInOfdkdJyaegECkmZsYlZ9dh2v0XMPzC5vzn6y30emw642au05zdUqIpKESKWbnEeH79s5ZMufc82jeqyp/fX87lT88kbf3OaJcmUiAFhUiUNE2uyMs3d2HU4I7sPpjNgOe+4tdvLWb7/sPRLk3kByIKCjPrY2arzCzdzB4s4PMkM5sQfD7HzJoE7WXMbLyZLTGzFWb2u6C9pZktCnvsNbN7g8/+ZGabwj679NQNV6RkMTP6tqnLJw9cwO0XNOPfCzdx0WOf8/JX63V2lJQYhQaFmcUDzwB9gVbAIDNrla/bLcAud28OPAE8HLRfAyS5exugE/BLM2vi7qvcvb27tw/aDwLvhq3viaOfu/uHP2WAIqVB+cQEHux7JlPuPY/W9avwx/eWcckTX/DB15vJy9O83RJdkWxRdAHS3X2tu2cDbwL98/XpD4wPXk8EepmZAQ5UMLMEoByQDezNt2wvYI27bzjJMYjEjOa1KvHarV0Zc2MqifFxDH99If2fmambDUpURRIU9YGNYe8zgrYC+7h7DrAHqEEoNA4AW4BvgcfcPf8Ru4HAG/nahpvZ12Y21syqRTIQkVhhZlzcqjYf3nMej1/Tjp0HsrnhxbkMHjObxRt3R7s8OQ1FEhRWQFv+beFj9ekC5AL1gBTgATNr+v1CZolAP+CtsOVGAc2A9oQC5vECizIbZmZpZpaWlaV/bUnsiY8zru7UgE9/fQF/vKwVK7bso/8zM7nztfmsydof7fLkNBJJUGQADcPeNwA2H6tPsJupCrATuB6Y4u5H3D0TmAmkhi3XF1jg7tuONrj7NnfPdfc84AVCYfMj7j7a3VPdPTU5OTmCYYiUTkkJ8dx8bgpf/OZC7unVgumrsrjkiS/43Ttf63bmUiwiCYp5QAszSwm2AAYCk/L1mQQMCV4PAD51dye0u+kiC6kAdANWhi03iHy7ncysbtjbK4GlkQ5GJJZVTErgvt5nMP03F3JDt8ZMnJ9Bz0c/5+8frmD3wexolycxzEK/54V0Cp2iOhKIB8a6+1/NbASQ5u6TzKws8ArQgdCWxEB3X2tmFYFxhM6WMmCcuz8arLM8oeMaTd19T9h3vUJot5MD64FfuvuW49WXmprqaWlpJzZykVJu486DPPHxN7y7aBMVkxK4/YJm3NwjhXKJ8dEuTUoJM5vv7qmF9oskKEo6BYWczlZu3cujU1bxycpMalVK4u5eLbiuc0PKxOt6Wjm+SINCf0kipdyZdSrz4tDOvHV7dxpVL8/v/72U3v+YzvuLdQ2GnBoKCpEY0blJdd66vTtjbkwlKSGeX72xkH7PfMkX32QRC3sOJHoUFCIxJP81GLsOHOHGsXMZPGYOi3QNhpwkHaMQiWGHc3J5bfa3PP1ZOjsPZNO3dR0euKQlzWtVjHZpUgLoYLaIfG//4Rxe+GItY2as5bsjuVyb2pB7Lm5B3Srlol2aRJGCQkR+ZPv+wzz9aTqvzdlAnBlDz2nCHT2bUbV8YrRLkyhQUIjIMeW/BuO285oypHsTqpQvE+3SpBgpKESkUCu37uWxqauYtiKTConxDO7WmFvOTaF25bLRLk2KgYJCRCK2fPNeRk1fw3++3kxCXBxXd6rPL89vRpOaFaJdmhQhBYWInLANOw7w/BdrmZiWQU5eHpe2qcsdPZtxdr0q0S5NioCCQkROWubeQ7z45Tpenb2BA9m59GyZzB0XNKNLSnVCc5JJLFBQiMhPtufgEV6ZvZ6xM9ez80A2nRpX486ezbjozFoKjBigoBCRU+a77Fz+lbaR0V+sZdPu72hZuxJ39GzGZW3rkqCbD5ZaCgoROeWO5OYxadFmnpu+htWZ+2lYvRzDzm/GNZ0aULaMbm9e2igoRKTI5OU501Zs49nP17Bo425qVkzi5nOb8ItujalcVtdilBYKChEpcu7O7LU7efbzdGas3k6lpARu6N6Ym3qkkFwpKdrlSSEUFCJSrJZk7GHU9HQmL91KYnwc16Y2ZNj5TWlYvXy0S5NjUFCISFSszdrP89PX8s7CDPIc+rWrx+0XNKNlnUrRLk3yUVCISFRt2fMdL85Yx+tzv+Vgdi4Xn1WLO3o2p1PjatEuTQIKChEpEXYdyGb8V+t5adZ6dh88QteU6txybgoXnVlLp9ZGmYJCREqUg9k5vDF3I2NmrGXLnkPUr1qO67s24rrODalZUQe+o+GUBoWZ9QH+CcQDY9z9oXyfJwEvA52AHcB17r7ezMoAY4COQALwsrv/PVhmPbAPyAVyjhZrZtWBCUATYD1wrbvvOl59CgqR0iMnN49pK7bxyuwNzEzfQWJ8HJe2qcMN3RvTsVHbLrlxAAAMbklEQVQ1XfFdjE5ZUJhZPPAN0BvIAOYBg9x9eVifO4G27n67mQ0ErnT368zseqCfuw80s/LAcqBnECLrgVR3357v+x4Bdrr7Q2b2IFDN3X97vBoVFCKlU3rmfl6dvYG352ew73AOrepW5sbujenfvj7lEnUBX1GLNCgi2UHYBUh397Xung28CfTP16c/MD54PRHoZaF/FjhQwcwSgHJANrC3kO8LX9d44IoIahSRUqh5rYr8qd/ZzP6vXvz1ytbkufPgO0vo+rdpjHh/Oeu2H4h2iUJod1Bh6gMbw95nAF2P1cfdc8xsD1CDUGj0B7YA5YH73H1nsIwDH5mZA8+7++igvba7bwnWtcXMahVUlJkNA4YBNGrUKIJhiEhJVSEpgcFdG3N9l0bMW7+LV2Zv4OWv1jN25jrOa1GTG7s34aIzaxEfp91S0RBJUBT0Xyb//qpj9elC6BhEPaAaMMPMprn7WqCHu28OguBjM1vp7l9EWngQLKMhtOsp0uVEpOQyM7qkVKdLSnUyLzuLN+du5PU533Lby2nfH/we2LkhNXTwu1hFsuspA2gY9r4BsPlYfYLdTFWAncD1wBR3P+LumcBMIBXA3TcHz5nAu4RCBWCbmdUN1lUXyDzxYYlIaVerUlnu7tWCL397Ic/9oiONa5Tn0amr6P73T7lvwiLmb9hFLJy1WRpEEhTzgBZmlmJmicBAYFK+PpOAIcHrAcCnHvov+C1wkYVUALoBK82sgplVAgjaLwGWFrCuIcB7Jzc0EYkFCfFx9Gldl9dv68a0+89nUJeGfLx8G1ePmsVlT33JhHnf8l12brTLjGmRnh57KTCS0OmxY939r2Y2Akhz90lmVhZ4BehAaEtioLuvNbOKwDigFaHdU+Pc/VEza0poKwJCu79ed/e/Bt9VA/gX0IhQ0FwTdlyjQDrrSeT0cuBwDu8u3MQrX21g1bZ9VC6bwDWpDflFt8akaJ7viOmCOxGJee7O3HU7eXn2BqYu3UpOnuvg9wmINCgiOZgtIlIimRldm9aga9MaZO49xBtzN/L63A06+H2KaYtCRGLKkdw8Pl6+jVe+2sBXa3dQJt646MxaXNWxARe2rEVigu4vdZS2KETktFQmPo5L29Tl0jZ1Wb1tH2/O28h7izYxddk2qpUvQ7929bi6UwPa1K+i24VESFsUIhLzjuTmMWN1Fm8v2MTHy7eRnZNH81oVubpjA67oUI+6VcpFu8So0MFsEZEC7Dl4hP8s2cI7CzJI27ALM+jRrCZXd6rPz86uQ/nE02dHi4JCRKQQ67cf4J2Fm3hnQQYZu76jQmI8fdvU5aqO9emWUoO4GD9rSkEhIhKhvDxn3vqdvLNgE/9ZsoX9h3OoX7UcV3aoz1Ud69M0uWK0SywSCgoRkZPwXXYuHy3fytsLNvHl6izyHDo0qspVHRtwedu6VC2fGO0STxkFhYjIT7Rt7yH+vXATby/I4Jtt+0mMj6PXWbW4umMDLmiZTJlSPpWrgkJE5BRxd5Zt3svbCzKYtGgzOw5kU6NCIpe3q8eATg04u17lUnmqrYJCRKQIHMnN44tvsnh7QQbTlmeSnZvHGbWPnmpbn9qVy0a7xIgpKEREitieg0d4/+vNvLMggwXf7ibOoHuzGvRtXZefnV2H5Eol+9YhCgoRkWK0Nms/7y7cxAdfb2Hd9gOYQecm1bm0dR36tK5LnSolb0tDQSEiEgXuzqpt+5i8ZCuTl27hm237AejYqCp9W9elT+s6NKxePspVhigoRERKgPTM/UxZuoXJS7eybPNeANrUr0LfNnXo27puVOfPUFCIiJQw3+44yOSlW/hw6VYWb9wNwJl1KtG3dV0ubVOHFrUrFWs9CgoRkRJs0+7vmLJ0K1OWbiFtwy7coVlyBS5tE9o91apu0Z9yq6AQESklMvceYuqyrXy4ZCtz1u0gz6FxjfL0aV2HS1vXpW2DorkluoJCRKQU2rH/MB8t38bkpVuZlb6dnDynftVyodBoU4cODaudspsVKihEREq53QezmbYik8lLtjBj9Xayc/OoXTmJn50dOhDeJaX6T5oXXEEhIhJD9h06wqcrM5m8ZCuff5PJoSN51KiQyB8vb0X/9vVPap2RBkVEd7Qysz5mtsrM0s3swQI+TzKzCcHnc8ysSdBexszGm9kSM1thZr8L2hua2WdB2zIzuydsXX8ys01mtih4XBrpoEVEYlWlsmXo374+z93QiQV/6M2zgzvSvVmNYpmdr9CpnMwsHngG6A1kAPPMbJK7Lw/rdguwy92bm9lA4GHgOuAaIMnd25hZeWC5mb0BHAYecPcFZlYJmG9mH4et8wl3f+yUjVJEJIaUT0z4fl7w4hDJFkUXIN3d17p7NvAm0D9fn/7A+OD1RKCXhQ7RO1DBzBKAckA2sNfdt7j7AgB33wesAE5u20lERIpUJEFRH9gY9j6DH/+of9/H3XOAPUANQqFxANgCfAs85u47wxcMdlN1AOaENQ83s6/NbKyZVSuoKDMbZmZpZpaWlZUVwTBERORkRBIUBR1Sz38E/Fh9ugC5QD0gBXjAzJp+v5BZReBt4F533xs0jwKaAe0JBczjBRXl7qPdPdXdU5OTkyMYhoiInIxIgiIDaBj2vgGw+Vh9gt1MVYCdwPXAFHc/4u6ZwEwgNehXhlBIvObu7xxdkbtvc/dcd88DXiAUNiIiEiWRBMU8oIWZpZhZIjAQmJSvzyRgSPB6APCph867/Ra4yEIqAN2AlcHxixeBFe7+j/AVmVn40ZkrgaUnOigRETl1Cj3ryd1zzGw4MBWIB8a6+zIzGwGkufskQj/6r5hZOqEtiYHB4s8A4wj92Bswzt2/NrNzgRuAJWa2KOj7X+7+IfCImbUntOtqPfDLUzRWERE5CbrgTkTkNHVKL7gTEZHTV0xsUZhZFrAh2nVEqCawPdpFFJFYHhvE9vg0ttLrp4yvsbsXetpoTARFaWJmaZFs6pVGsTw2iO3xaWylV3GMT7ueRETkuBQUIiJyXAqK4jc62gUUoVgeG8T2+DS20qvIx6djFCIiclzaohARkeNSUJxiwR1vM81saVhbdTP72MxWB8/VgnYzsyeDCZ++NrOO0au8cMeacCoWxmdmZc1srpktDsb256A9JZiMa3UwOVdi0F7gZF0lmZnFm9lCM/sgeB9LY1sfTJC2yMzSgrZS/3cJYGZVzWyima0M/r/XvbjHpqA49V4C+uRrexD4xN1bAJ8E7wH6Ai2CxzBCd84tyXIITTh1FqH7dt1lZq2IjfEdBi5y93aE7lzcx8y6EZqE64lgbLsITdIFYZN1AU8E/Uq6ewjN/XJULI0N4EJ3bx92qmgs/F0C/JPQzVXPBNoR+m9YvGNzdz1O8QNoAiwNe78KqBu8rgusCl4/DwwqqF9peADvEZr5MKbGB5QHFgBdCV3IlBC0dwemBq+nAt2D1wlBP4t27ccZU4PgB+Ui4ANC916LibEFda4HauZrK/V/l0BlYF3+//2Le2zaoigetd19C0DwXCtoj2RSqBLJfjjhVEyML9g1swjIBD4G1gC7PTQZF/yw/mNN1lVSjQR+A+QF72sQO2OD0E1EPzKz+WY2LGiLhb/LpkAWMC7YbTgmuBN3sY5NQRFdkUwKVeJYwRNOFdi1gLYSOz4PzYPSntC/vrsAZxXULXguNWMzs8uATHefH95cQNdSN7YwPdy9I6FdL3eZ2fnH6VuaxpcAdARGuXsHQjOGPnic/kUyNgVF8dh2dJ6N4DkzaI9kUqgSxQqecCpmxgfg7ruBzwkdh6lqocm44If1H2uyrpKoB9DPzNYTmvP+IkJbGLEwNgDcfXPwnAm8SyjoY+HvMgPIcPejU0VPJBQcxTo2BUXxCJ/YaQihfftH228MzlToBuw5ujlZEpkdc8KpUj8+M0s2s6rB63LAxYQOGn5GaDIu+PHYCpqsq8Rx99+5ewN3b0JorphP3X0wMTA2ADOrYGaVjr4GLiE0B06p/7t0963ARjNrGTT1ApZT3GOL9sGaWHsAbxCa6/sIoXS/hdD+3U+A1cFz9aCvEZrcaQ2wBEiNdv2FjO1cQpuxXwOLgselsTA+oC2wMBjbUuCPQXtTYC6QDrwFJAXtZYP36cHnTaM9hgjH2RP4IJbGFoxjcfBYBvx30F7q/y6DetsDacHf5r+BasU9Nl2ZLSIix6VdTyIiclwKChEROS4FhYiIHJeCQkREjktBISIix6WgEBGR41JQiIjIcSkoRETkuP4/q+rNZNXtXeQAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0600 cost= 0.082776025 W= 0.29230362 b= 0.49421328\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0650 cost= 0.082104772 W= 0.2897635 b= 0.51248676\n" ] }, { "data": { "image/png": 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3nsOZzevywxfm886izdEuSUQqmFKDwsxigdHAZUAaMMzM0op0GwHsdPd2wCPA/UH7rQDu3gnoBzxkZkd+5oPufgbQFehtZpeF7e8Vd+8SvMYf57FJhOrXSuCFET3o1qoBP315Aa9lbIx2SSJSgURyRtEDyHT3LHfPB14GBhXpMwiYGHx+HbjYQs/kTAM+BnD3HGAXkO7u+939k6A9H/gCaHGiByPHr06NeCbe3IPe7ZL51euLmTR7XbRLEpEKIpKgSAXC/xMzO2grto+7FwC7gUbAImCQmcWZWRugO9AyfEMzqw98lyBQAleZ2WIze93MvtVfyk7NhFjGD0/nO2c24e63l/HwB6tw92iXJSJRFklQFPcA5qJ/PY7W51lCwZIBPArMAr55QIKZxQEvAY+7e1bQ/A7Q2t07Ax/xnzOVb/9As5FmlmFmGbm5umPnZEmMi2XM97txTXoLHp+ayU9eWqAHIIlUc5EERTbfPgtoARS94vlNn+CPfz1gh7sXuPudwbWGQUB9YHXYduOA1e7+6JEGd9/u7geDxacJnYX8F3cf5+7p7p6ekpISwWFIpOJjY7j/qs7cddkZ/GvJFoaO+5zcPQdL31BEqqRIgmIe0N7M2phZAjAUmFykz2RgePB5CDDV3T24uykJwMz6AQXuvjxY/hOhQPlZ+I7MrFnY4kBgxTEek5wEZsZtF5zKmOu7s2rrHgaPnsnKrZryQ6Q6KjUogmsOtwNTCP3RftXdl5nZvWY2MOj2DNDIzDKBnwNHbqFtDHxhZiuA3wA3AJhZC+B3hC52f1HkNtg7gltmFwF3ADedhOOU49S/Y1Neu60XBYcPM2TMbD5ZmRPtkkSknFlVuFiZnp7uGRkZ0S6jStu6+wAjJs5jxZY8fj8gjZt6t4l2SSJygsxsvrunl9ZP38yWiDStV4NXR/Xi4jObcM87y/n920spKDwc7bJEpBwoKCRiSYlxjP1+d0b1acvzs9dz88QM8g4cinZZIlLGFBRyTGJijN9efib3fa8TszK/4qqnZrFxx/5olyUiZUhBIcdlaI9WPH9zD7blHWDw6JnMX6+pykWqKgWFHLdz2yXz1o97U6dGHMOensPbCzdFuyQRKQMKCjkhbVNq8+aPetOlZX1++vJCHvnwS037IVLFKCjkhDVISuCFEecwpHsLHvt4NXe8vFDTfohUIXHRLkCqhoS4GB4Y0pm2KUn87f1VZO/cz7gb0kmpkxjt0kTkBOmMQk4aM+NHfdsx5vpurNiSx+DRM1m1dU+0yxKRE6SgkJPusk7NeHVULw4VHuaqMbOYtkrTfohUZgoKKROdW9Tn7dt706phLW5+bh4TZ62LdkkicpwUFFJmmtWryWu39eKiMxrzf5OX8X+a9kOkUlJQSJlKSoxj7A3p3Hp+GybOXs+IiRns0bQfIpWKgkLKXGyM8bsr0vjr9zoxM/MrrhqjaT9EKhMFhZSbYT1aMfHmHmzZfYABT3zGR8u3RbskEYmAgkLKVe92ybxz+3m0aFCTW57P4M//Ws4hXbcQqdAUFFLuWicn8cYPz+WGnqfw9KdruWbsbLJ3aihKpKJSUEhU1IiP5Y+DOzL6um6s3raXKx7/jA81FCVSIUUUFGbW38xWmVmmmd1VzPpEM3slWD/HzFoH7QlmNsHMlpjZIjPrG7ZN96A908weNzML2hua2Ydmtjp4b3BSjlQqpCs6N+Pdn5xHy4Y1ufX5DP707nLyCzQUJVKRlBoUZhYLjAYuA9KAYWaWVqTbCGCnu7cDHgHuD9pvBXD3TkA/4CEzO/IzxwAjgfbBq3/Qfhfwsbu3Bz4OlqUKOzIUNbzXKYz/TENRIhVNJGcUPYBMd89y93zgZWBQkT6DgInB59eBi4MzhDRCf+xx9xxgF5BuZs2Auu4+20NzUj8PDC5mXxPD2qUKS4yL5Q+DOvLU9d1Yk7OXyx/7lA+WbY12WSJCZEGRCmwMW84O2ort4+4FwG6gEbAIGGRmcWbWBugOtAz6Zx9ln03cfUuwry1A42M5IKncLu/UjHfvOI9TGiUxctJ8/qihKJGoiyQorJi2ok+mOVqfZwmFQAbwKDALKIhwnyUXZTbSzDLMLCM3N/dYNpUK7pRGSbz+w17cdG5rnvlsLVePna0v6IlEUSRBkU3oLOCIFsDmo/UxszigHrDD3Qvc/U537+Lug4D6wOqgf4uj7HNbMDRF8F7s1KPuPs7d0909PSUlJYLDkMokMS6WewZ2YMz13cjK2csVj3/KFA1FiURFJEExD2hvZm3MLAEYCkwu0mcyMDz4PASY6u5uZrXMLAnAzPoBBe6+PBhS2mNmPYNrGTcCbxezr+Fh7VINXdapGf+643xaJycxatJ8/vDOMg1FiZSzUoMiuOZwOzAFWAG86u7LzOxeMxsYdHsGaGRmmcDP+c+dSo2BL8xsBfAb4IawXf8QGA9kAmuAfwft9wH9zGw1oTul7juB45MqoFWjWrx2W2goasLMdVz9d80VJVKeLHTTUeWWnp7uGRkZ0S5DysH7S7fwq9cXA/DAkLPo37FplCsSqbzMbL67p5fWT9/Mlkqlf8dmvHfH+bRNTuK2F+Zzz+RlHCwojHZZIlWagkIqnZYNa/Habedyc+82PDdrHUPGzGbDdg1FiZQVBYVUSglxMfz+u2mMvaE767fv44rHP+XfS7ZEuyyRKklBIZXapR2a8q87zqdt49r88B9f8H9vL9VQlMhJpqCQSq9lw1q8NqoXI84LPW71qjGzWL1tT7TLEqkyFBRSJSTExXD3gDTG3dCdzbsOcMXjnzH6k0wK9FAkkROmoJAq5ZIOTfngzj70S2vCA1NWceVTs1i5NS/aZYlUagoKqXKSaycy+vpuPHV9Nzbv+prvPvEZj3+8Wo9cFTlOCgqpsi7v1IwPf34B/Ts24+EPv2Tw6Jks36yzC5FjpaCQKq1hUgJPDOvK37/fnW15Bxn45Gc88uGXmi9K5BgoKKRa6N+xKR/e2YfvntWcxz5ezcAnP2Pppt3RLkukUlBQSLXRICmBR67twtM3prNjXz6DRs/koQ9W6XsXIqVQUEi10y+tCR/eeQGDu6TyxNRMBj4xk8XZu6JdlkiFpaCQaqlerXgeuuYsnr0pnd1fH+LKp2bxt/dXcuCQzi5EilJQSLV20RlNmHJnH67qlspT09Yw4InPWLBhZ7TLEqlQFBRS7dWrGc/fhpzFcz84m30HC7hqzCz++u8VOrsQCSgoRAJ9T2/MlDv7cO3ZLRk7PYvLH/+U+et1diGioBAJU7dGPH/9XmcmjejBwUOHGfL3Wfzp3eV8na+zC6m+FBQixTi/fQpT7uzDdT1aMf6ztVz++KfMW7cj2mWJREVEQWFm/c1slZllmtldxaxPNLNXgvVzzKx10B5vZhPNbImZrTCz3wbtp5vZwrBXnpn9LFh3j5ltClt3+ck7XJHI1U6M489XduLFW87hUOFhrhk7mz+8s4z9+QXRLk2kXJUaFGYWC4wGLgPSgGFmllak2whgp7u3Ax4B7g/arwYS3b0T0B0YZWat3X2Vu3dx9y5B+37gzbD9PXJkvbu/dyIHKHKizm2XzJSf9eHGnqcwYeY6Ln5oOu8s2oy7R7s0kXIRyRlFDyDT3bPcPR94GRhUpM8gYGLw+XXgYjMzwIEkM4sDagL5QNFZ2S4G1rj7+uM8BpEyl5QYxx8GdeT123rRMCmBn7y0gGvHfa5JBqVaiCQoUoGNYcvZQVuxfdy9ANgNNCIUGvuALcAG4EF3LzrQOxR4qUjb7Wa22MyeNbMGkRyISHlIb92Qybefx1+u7MTqbXsY8MSn3P3WUnbuy492aSJlJpKgsGLaip5zH61PD6AQaA60AX5hZm2/2cgsARgIvBa23RjgVKALoYB5qNiizEaaWYaZZeTm5kZwGCInR2yMcd05rZj2ywu5sVdrXpy7gQsfmsakz9dTeFjDUVL1RBIU2UDLsOUWwOaj9QmGmeoBO4DrgPfd/ZC75wAzgfSw7S4DvnD3bUca3H2buxe6+2HgaUJh81/cfZy7p7t7ekpKSgSHIXJy1asVzz0DO/DeHedzZtO63P3WUgY88RlzsrZHuzSRkyqSoJgHtDezNsEZwFBgcpE+k4HhwechwFQPXenbAFxkIUlAT2Bl2HbDKDLsZGbNwhavBJZGejAi0XB60zq8eOs5jLm+G3lfH+LacZ/zk5cWsHnX19EuTeSksEju3AhuUX0UiAWedfc/m9m9QIa7TzazGsAkoCuhM4mh7p5lZrWBCYTuljJggrs/EOyzFqHrGm3dfXfYz5pEaNjJgXXAKHffUlJ96enpnpGRcWxHLlIGvs4vZOyMNYyZtoYYM37U91Ru7dOWGvGx0S5N5L+Y2Xx3Ty+1X1W4xU9BIRVN9s79/OW9Fby3ZCstG9bkf69I45K0JoRuBhSpGCINCn0zW6QMtGhQi6eu786Lt5xDzfhYRk2az43PziUzZ0+0SxM5ZgoKkTJ0brtk3rvjfP4wsAOLNu6i/6Of8sd3l5N34FC0SxOJmIJCpIzFxcYw/NzWfPLLvlxzdkuenbmWix6cxqvzNnJYt9NKJaCgECknjWon8pcrO/HO7efRulESv35jMYOfmskXelCSVHAKCpFy1jG1Hq/d1ovHhnZhW94BvvfULH7x6iJy8g5EuzSRYikoRKLAzBjUJZWpv+jLj/qeyjuLNnPhg9MYM22Nnn0hFY6CQiSKkhLj+HX/M/jgzj70OrUR97+/kgse+ITnZ6/jYIECQyoGBYVIBdA6OYnxw8/m1VG9aJ2cxO/fXsZFD07n1XkbKSg8HO3ypJpTUIhUID3aNOSVkT2ZNKIHybUT+PUbi+n3yAzeXrhJd0hJ1CgoRCoYM+P89im89ePejLuhO4lxMfz05YVc9tinTFm2VQ9MknKnoBCpoMyMSzo05b07zufxYV05VHiYUZPmM2j0TKZ/mavAkHKjoBCp4GJijIFnNeeDO/vwtyGd2b43n+HPzuXasZ8zd23R54CJnHyaFFCkkjlYUMir8zbyxNRMcvYc5Pz2yfzyktM5q2X9aJcmlYxmjxWp4r7OL+SFz9fz1LRMdu4/RL+0JvziktM4o2ndaJcmlYSCQqSa2HuwgGc/W8vTM7LYm1/AgM7NufM77WmbUjvapUkFp6AQqWZ27c9n3IwsJswMfVnvqm4tuOPi9rRsWCvapUkFpaAQqaZy9xxkzLQ1vDBnPe7O0LNbcftF7WhSt0a0S5MKRkEhUs1t2f01T0zN5NV5G4mNMYaf25pbzm9D4zoKDAlRUIgIAOu37+Oxj1bz5sJNxMfE8L1uqdzapy2n6hpGtXdSH4VqZv3NbJWZZZrZXcWsTzSzV4L1c8ysddAeb2YTzWyJma0ws9+GbbMuaF9oZhlh7Q3N7EMzWx28N4ikRhEp3imNknj42i5M/UVfhqS34J8LNvGdh6dz6/MZZKzT9zCkdKUGhZnFAqOBy4A0YJiZpRXpNgLY6e7tgEeA+4P2q4FEd+8EdAdGHQmRwIXu3qVIot0FfOzu7YGPg2UROUFtkpP4y5WdmHXXRfzkwnbMW7eDIX+fzVVjZjFl2VbNJSVHFckZRQ8g092z3D0feBkYVKTPIGBi8Pl14GIzM8CBJDOLA2oC+UBeKT8vfF8TgcER1CgiEUquncjPLzmdWXddxD3fTWNb3gFGTZrPdx6ezotzNnDgkKY3l2+LJChSgY1hy9lBW7F93L0A2A00IhQa+4AtwAbgQXc/cq7rwAdmNt/MRobtq4m7bwn2tQVoXFxRZjbSzDLMLCM3NzeCwxCRcLUS4ripdxum/bIvTwzrSlJiHP/z5hLOu/8Tnpy6ml3786NdolQQcRH0sWLaip6jHq1PD6AQaA40AD41s4/cPQvo7e6bzawx8KGZrXT3GZEW7u7jgHEQupgd6XYi8m1xsTF896zmDOjcjNlZ2xk7PYsHP/iSp6at4Zr0low4r42+i1HNRRIU2UDLsOUWwOaj9MkOhpnqATuA64D33f0QkGNmM4F0IMvdNwO4e46ZvUkoVGYA28ysmbtvMbNmQM7xH56IRMrMOPfUZM49NZmVW/MYNyOLFz5fz6TP13NFp2aM7NOWjqn1ol2mREEkQ0/zgPZm1sbMEoChwORqFVO/AAANJUlEQVQifSYDw4PPQ4CpHrrvdgNwkYUkAT2BlWaWZGZ1AIL2S4ClxexrOPD28R2aiByvM5rW5eFrujDj1xdyc+/WTF2Zw4AnPuP68Z8zQ1OcVzsRfY/CzC4HHgVigWfd/c9mdi+Q4e6TzawGMAnoSuhMYqi7Z5lZbWACobulDJjg7g+YWVvgzWD3ccCL7v7n4Gc1Al4FWhEKmqvDrmsUS9+jEClbeQcO8eKcDUyYuZZteQc5s1ldRvZpw4DOzYmP1dMKKit94U5ETrqDBYW8vXAzT8/IYnXOXprXq8HN57VhaI9W1E6MZCRbKhIFhYiUmcOHnWlf5jB2ehZz1u6gbo04hvVoxXXntOKURknRLk8ipKAQkXKxaOMuxs3I4v1lWyk87JzfPpnrz2nFxWc20bBUBaegEJFytS3vAK/O28hLczewefcBGtdJ5NqzWzK0RytS69eMdnlSDAWFiERF4WFn2qoc/jFnA5+sysGAvqc35vpzWtH39MbExhT3tSuJBgWFiERd9s79vDJvIy/P20junoM0r1eDoT1ace3ZLfV8jApAQSEiFcahwsN8vGIb/5izgU9Xf0VsjNHvzCZcd04rzmuXTIzOMqIi0qDQ/WwiUubiY2Po37EZ/Ts2Y91X+3hp3gZey8jm/WVbadWwFted04qru7egUe3EaJcqxdAZhYhExcGCQt5fupUX52xgztodxMca/Ts24/pzWnFOm4aEJqCWsqShJxGpNDJz9vCPORt4Y342eQcKODUlievOOYWruqVSv1ZCtMurshQUIlLpfJ1fyL+WbOEfc9azYMMuEuNiuKJz6CyjW6sGOss4yRQUIlKpLd+cx4tz1/PmF5vYl19I60a1GNw1lcFdUmmdrG9/nwwKChGpEvYeLOC9xVt4a+EmZmdtxx26tKzPlV1TGdC5mS6AnwAFhYhUOVt2f83khZt5c8EmVm7dQ2yM0ad9MoO7pnJJWlNqJsRGu8RKRUEhIlXayq15vLVgM28v3MSW3QdISojl0o5NubJrKueemqxvgEdAQSEi1cLhw87cdTt4a8Em/rVkC3sOFJBSJ5GBZzXnyq6pdGheVxfBj0JBISLVzoFDhXyyMoe3Fm5i6socDhU6p6YkcWXXVAZ1SdWzv4tQUIhItbZrfz7vLdnKWws3MXdt6CGZZ7duwKAuqVzRqRkNkvT9DAWFiEgge+d+3l64mbcWbGJ1zl7iY42+pzdmcJdULj6zMTXiq+dF8JMaFGbWH3iM0DOzx7v7fUXWJwLPA92B7cC17r7OzOKB8UA3QvNKPe/ufzWzlkH/psBhYJy7Pxbs6x7gViA32P3/uPt7JdWnoBCRSLg7y7fk8daCTby9cDM5ew5SJzGOfmlNuKRDUy44LaVa3Tl10oLCzGKBL4F+QDYwDxjm7svD+vwI6Ozut5nZUOBKd7/WzK4DBrr7UDOrBSwH+gIHgWbu/oWZ1QHmA4PdfXkQFHvd/cFID1ZBISLHqvCw83nWdt5csIkPl29j99eHqBEfQ5/2KVzaoSkXn9m4yk8fcjJnj+0BZLp7VrDjl4FBhP7oHzEIuCf4/DrwpIVuM3AgyczigJpAPpDn7juALQDuvsfMVgCpRfYpIlJmYmOM3u2S6d0umUOFh5m7dgdTlm3lg2Xb+GD5NmJjjJ5tG9K/Q1P6pTWlab3q+/yMSIIiFdgYtpwNnHO0Pu5eYGa7gUaEQmMQoVCoBdwZhMQ3zKw10BWYE9Z8u5ndCGQAv3D3nREej4jIMYuPjfkmNO75bgcWb9rNlGVbmbJsK3e/vYy7315Gl5b1ubRDUy7t0IS2KbWjXXK5iiQoirsBueh41dH69AAKgeZAA+BTM/so7OykNvAG8DN3zwu2GwP8Mdj+j8BDwM3/VZTZSGAkQKtWrSI4DBGR0sXEGF1a1qdLy/r8pv8ZZObsYcqybUxZtpX731/J/e+vpH3j2kFoNKVjatX/nkYkQZENtAxbbgFsPkqf7GCYqR6wA7gOeN/dDwE5ZjYTSAeyggvdbwD/cPd/HtmRu2878tnMngbeLa4odx8HjIPQNYoIjkNE5Ji1a1yHdo3r8OML27F519d8sGwrU5ZtY8z0NTz5SSap9WvSL60Jl3ZoytmtGxAXGxPtkk+6SIJiHtDezNoAm4ChhAIg3GRgODAbGAJMdXc3sw3ARWb2AqGhp57Ao8H1i2eAFe7+cPiOzKyZu28JFq8Elh7foYmInFzN69fkpt5tuKl3G3bsy+ejFdv4YNlWXpy7gedmraNhUgIXn9GYSzs05bz2yVXmtttIb4+9HHiU0O2xz7r7n83sXiDD3SebWQ1gEqFrDTuAoe6eFQwtTQDSCA1PTXD3B8zsPOBTYAmh22MhuA3WzCYBXQgNPa0DRoUFR7F015OIRNO+gwVM/zKXKcu2MnVFDnsOFlArIZa+p6dwSVpT+pyWQsMK+AU/feFORCQK8gsOMztrO1OWbeXD5dvI3XMQM+icWo8+p6VwwWkpdGlZv0IMUSkoRESi7PBhZ/Gm3cz4MpfpX+ayYMNODjvUqRHHee2SueC0FPqclkLz+jWjUp+CQkSkgtm9/xAz13zF9FWh4NiadwCA05rUpk/7FC44PYWzWzcst2sbCgoRkQrM3Vmds/eb0Ji7dgf5hYepER9Dz7aNuCAYpmqTnFRmt98qKEREKpH9+QXMydrB9C9zmfFlLllf7QOgRYOa34TGue2SqZ0Yyc2qkVFQiIhUYhu272f66lBozMr8in35hcTFGN1PacAFp6fQp30Kac3qEnMCT/JTUIiIVBH5BYeZv34nM1bnMn1VLsu3hCaySK6dyN0DzmRQl9Tj2u/JnBRQRESiKCEuhl6nNqLXqY34Tf8zyMk7wIzVXzHjy1ya1i37yQoVFCIilUzjujUY0r0FQ7q3KJefF/1vfIiISIWmoBARkRIpKEREpEQKChERKZGCQkRESqSgEBGREikoRESkRAoKEREpUZWYwsPMcoH10a7jKJKBr6JdxHGqrLVX1rpBtUdLda39FHdPKa1TlQiKiszMMiKZS6Uiqqy1V9a6QbVHi2ovmYaeRESkRAoKEREpkYKi7I2LdgEnoLLWXlnrBtUeLaq9BLpGISIiJdIZhYiIlEhBcQLM7FkzyzGzpWFtDc3sQzNbHbw3CNrNzB43s0wzW2xm3aJXOZhZSzP7xMxWmNkyM/tpZanfzGqY2VwzWxTU/oegvY2ZzQlqf8XMEoL2xGA5M1jfOlq1B/XEmtkCM3u3ktW9zsyWmNlCM8sI2ir870tQT30ze93MVga/870qQ+1mdnrw733klWdmPyvv2hUUJ+Y5oH+RtruAj929PfBxsAxwGdA+eI0ExpRTjUdTAPzC3c8EegI/NrM0Kkf9B4GL3P0soAvQ38x6AvcDjwS17wRGBP1HADvdvR3wSNAvmn4KrAhbrix1A1zo7l3CbsesDL8vAI8B77v7GcBZhP79K3zt7r4q+PfuAnQH9gNvUt61u7teJ/ACWgNLw5ZXAc2Cz82AVcHnscCw4vpVhBfwNtCvstUP1AK+AM4h9KWjuKC9FzAl+DwF6BV8jgv6WZTqbRH8H/si4F3AKkPdQQ3rgOQibRX+9wWoC6wt+m9XGWovUu8lwMxo1K4zipOvibtvAQjeGwftqcDGsH7ZQVvUBUMaXYE5VJL6g+GbhUAO8CGwBtjl7gXF1PdN7cH63UCj8q34G48CvwYOB8uNqBx1AzjwgZnNN7ORQVtl+H1pC+QCE4Ihv/FmlkTlqD3cUOCl4HO51q6gKD9WTFvUbzkzs9rAG8DP3D2vpK7FtEWtfncv9NDpeAugB3Bmcd2C9wpRu5kNAHLcfX54czFdK1TdYXq7ezdCwxs/NrM+JfStSLXHAd2AMe7eFdjHf4ZqilORagcguG41EHittK7FtJ1w7QqKk2+bmTUDCN5zgvZsoGVYvxbA5nKu7VvMLJ5QSPzD3f8ZNFea+gHcfRcwjdB1lvpmFhesCq/vm9qD9fWAHeVbKQC9gYFmtg54mdDw06NU/LoBcPfNwXsOoXHyHlSO35dsINvd5wTLrxMKjspQ+xGXAV+4+7ZguVxrV1CcfJOB4cHn4YTG/o+03xjcldAT2H3k1DEazMyAZ4AV7v5w2KoKX7+ZpZhZ/eBzTeA7hC5OfgIMCboVrf3IMQ0BpnowgFue3P237t7C3VsTGkaY6u7XU8HrBjCzJDOrc+QzofHypVSC3xd33wpsNLPTg6aLgeVUgtrDDOM/w05Q3rVH+wJNZX4F/8NtAQ4RSvIRhMaQPwZWB+8Ng74GjCY0lr4ESI9y7ecROiVdDCwMXpdXhvqBzsCCoPalwO+D9rbAXCCT0Cl6YtBeI1jODNa3rQC/O32BdytL3UGNi4LXMuB3QXuF/30J6ukCZAS/M28BDSpR7bWA7UC9sLZyrV3fzBYRkRJp6ElEREqkoBARkRIpKEREpEQKChERKZGCQkRESqSgEBGREikoRESkRAoKEREp0f8DnKmg0dOHn7EAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0700 cost= 0.081511214 W= 0.28737453 b= 0.529673\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0750 cost= 0.080986336 W= 0.28512758 b= 0.545838\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0800 cost= 0.080522239 W= 0.283014 b= 0.5610422\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0850 cost= 0.080111854 W= 0.28102627 b= 0.57534194\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0900 cost= 0.079748973 W= 0.27915674 b= 0.58879125\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 0950 cost= 0.079428151 W= 0.2773982 b= 0.6014421\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 1000 cost= 0.079144478 W= 0.2757443 b= 0.61334014\n", "Optimization Finished!\n" ] } ], "source": [ "sess = tf.Session()\n", "sess.run(init) # initialize variables\n", "iteration = []\n", "costs = []\n", "for epoch in range(trainingEpochs):\n", " for (x, y) in zip(xData,yData):\n", " sess.run(optimizer, feed_dict={X:x, Y:y}) #Run gradient descent for each data point\n", " if (epoch+1) % displayStep == 0:\n", " c = sess.run(cost, feed_dict={X:xData, Y:yData})\n", " iteration.append(epoch+1)\n", " costs.append(c)\n", " plt.plot(np.asarray(iteration), np.asarray(costs))\n", " plt.show()\n", " print(\"Epoch:\", '%04d' % (epoch+1), \"cost=\", \"{:.9f}\".format(c), \\\n", " \"W=\", sess.run(W), \"b=\", sess.run(b))\n", "\n", "print(\"Optimization Finished!\")\n" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training cost= 0.07914448 W= 0.2757443 b= 0.61334014 \n", "\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "training_cost = sess.run(cost, feed_dict={X: xData, Y: yData})\n", "print(\"Training cost=\", training_cost, \"W=\", sess.run(W), \"b=\", sess.run(b), '\\n')\n", "\n", " #Graphic display\n", "plt.plot(xData, yData, 'ro', label='Original data')\n", "plt.plot(xData, sess.run(W) * xData + sess.run(b), label='Fitted line')\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sess.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Our First Neural Network" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will use the MNIST handwritten data to train a neural network in Tensorflow. Hooray!!! In this case we will create a neural network with 2 hidden layers. The first with 256 neurons and the second with 256 neurons. " ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "PACKAGES LOADED\n" ] } ], "source": [ "import numpy as np\n", "import tensorflow as tf\n", "import matplotlib.pyplot as plt\n", "from tensorflow.examples.tutorials.mnist import input_data\n", "%matplotlib inline \n", "print (\"PACKAGES LOADED\")" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Extracting data/train-images-idx3-ubyte.gz\n", "Extracting data/train-labels-idx1-ubyte.gz\n", "Extracting data/t10k-images-idx3-ubyte.gz\n", "Extracting data/t10k-labels-idx1-ubyte.gz\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mnist = input_data.read_data_sets('data/', one_hot=True) #Download MNIST data set\n", "from IPython.display import Image\n", "Image(\"mnistSample.png\")" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Parameters\n", "learning_rate = 0.01\n", "num_steps = 500\n", "batch_size = 128\n", "display_step = 100\n", "\n", "# Network Parameters\n", "n_hidden_1 = 256 # 1st layer number of neurons\n", "n_hidden_2 = 8 # 2nd layer number of neurons\n", "num_input = 784 # MNIST data input (img shape: 28*28)\n", "num_classes = 10 # MNIST total classes (0-9 digits)\n", "\n", "# tf Graph input\n", "X = tf.placeholder(\"float\", [None, num_input])\n", "Y = tf.placeholder(\"float\", [None, num_classes])" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Store layers weight & bias\n", "weights = {\n", " 'h1': tf.Variable(tf.random_normal([num_input, n_hidden_1])),\n", " 'h2': tf.Variable(tf.random_normal([n_hidden_1, n_hidden_2])),\n", " 'out': tf.Variable(tf.random_normal([n_hidden_2, num_classes]))\n", "}\n", "biases = {\n", " 'b1': tf.Variable(tf.random_normal([n_hidden_1])),\n", " 'b2': tf.Variable(tf.random_normal([n_hidden_2])),\n", " 'out': tf.Variable(tf.random_normal([num_classes]))\n", "}" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "collapsed": true }, "outputs": [], "source": [ "\n", "\n", "# Create model\n", "def neural_net(x):\n", " # Hidden fully connected layer with 256 neurons\n", " layer_1 = tf.add(tf.matmul(x, weights['h1']), biases['b1'])\n", " # Hidden fully connected layer with 256 neurons\n", " layer_2 = tf.add(tf.matmul(layer_1, weights['h2']), biases['b2'])\n", " # Output fully connected layer with a neuron for each class\n", " out_layer = tf.matmul(layer_2, weights['out']) + biases['out']\n", " return out_layer\n", "\n" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Construct model\n", "logits = neural_net(X)\n", "\n", "# Define loss and optimizer\n", "try :\n", " loss_op = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(\n", " logits=logits, labels=Y))\n", "except:\n", " loss_op = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(\n", " logits=logits, labels=Y))\n", "optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate)\n", "train_op = optimizer.minimize(loss_op)\n", "\n", "# Evaluate model (with test logits, for dropout to be disabled)\n", "correct_pred = tf.equal(tf.argmax(logits, 1), tf.argmax(Y, 1))\n", "accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))\n", "\n", "# Initialize the variables (i.e. assign their default value)\n", "init = tf.global_variables_initializer()" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Step 1, Minibatch Loss= 336.8955, Training Accuracy= 0.164\n", "Step 100, Minibatch Loss= 22.9245, Training Accuracy= 0.781\n", "Step 200, Minibatch Loss= 7.6379, Training Accuracy= 0.883\n", "Step 300, Minibatch Loss= 13.3900, Training Accuracy= 0.867\n", "Step 400, Minibatch Loss= 3.4003, Training Accuracy= 0.906\n", "Step 500, Minibatch Loss= 7.8205, Training Accuracy= 0.836\n", "Optimization Finished!\n", "Testing Accuracy: 0.8799\n" ] } ], "source": [ "# Start training\n", "iteration =[]\n", "costs = []\n", "sess = tf.Session()\n", "\n", "# Run the initializer\n", "sess.run(init)\n", "\n", "for step in range(1, num_steps+1):\n", " batch_x, batch_y = mnist.train.next_batch(batch_size)\n", " # Run optimization op (backprop)\n", " sess.run(train_op, feed_dict={X: batch_x, Y: batch_y})\n", " if step % display_step == 0 or step == 1:\n", " # Calculate batch loss and accuracy\n", " loss, acc = sess.run([loss_op, accuracy], feed_dict={X: batch_x,\n", " Y: batch_y})\n", " iteration.append(step)\n", " costs.append(1-accuracy)\n", " #plt.plot(np.asarray(iteration), np.asarray(costs))\n", " #plt.hold\n", " #plt.show()\n", " print(\"Step \" + str(step) + \", Minibatch Loss= \" + \\\n", " \"{:.4f}\".format(loss) + \", Training Accuracy= \" + \\\n", " \"{:.3f}\".format(acc))\n", "\n", "print(\"Optimization Finished!\")\n", "\n", "# Calculate accuracy for MNIST test images\n", "print(\"Testing Accuracy:\", \\\n", " sess.run(accuracy, feed_dict={X: mnist.test.images,\n", " Y: mnist.test.labels}))" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0.03921569 0.5882353 0.5882353 0.83921576\n", " 0.83921576 0.9921569 1. 0.9960785 0.28627452 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0.5294118 0.9921569 0.9921569 0.9921569 0.9921569 0.9921569\n", " 0.9921569 0.9921569 0.28235295 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0.2784314 0.98823535 0.9921569\n", " 0.9921569 0.96470594 0.85098046 0.85098046 0.9607844 0.9921569\n", " 0.28235295 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0.28627452 0.9921569 0.91372555 0.32941177 0.20784315\n", " 0. 0. 0.75294125 0.95294124 0.19215688 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.02352941\n", " 0.43921572 0.20000002 0. 0. 0. 0.\n", " 0.75294125 0.8705883 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0.11764707 0.9215687 0.5882353\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0.16470589 0.9921569 0.4431373 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.16470589\n", " 0.9921569 0.05882353 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0.5058824 0.9921569 0.05882353\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0.654902 0.9921569 0.05882353 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0.15294118 0.9843138\n", " 0.7176471 0.01176471 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0.38823533 0.9921569 0.64705884 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0.38823533 0.9921569 0.34117648 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0.43921572 0.83921576\n", " 0.01568628 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0.0627451 0.854902 0.8313726 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.5686275\n", " 0.9921569 0.7960785 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0.00784314 0.7137255 0.9921569 0.427451\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0.02352941 0.9921569 0.97647065 0.07450981 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0.02352941 0.9921569\n", " 0.60784316 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0.02352941 0.9921569 0.4431373 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. ]\n" ] } ], "source": [ "xs, ys = mnist.train.next_batch(batch_size)\n", "print(xs[0])" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def gen_image(arr):\n", " two_d = (np.reshape(arr, (28, 28)) * 255).astype(np.uint8)\n", " plt.imshow(two_d, interpolation='nearest')\n", " return plt\n", "# Get a batch of two random images and show in a pop-up window.\n", "batch_xs, batch_ys = mnist.test.next_batch(batch_size)\n", "#print(batch_xs[0])\n", "#gen_image(batch_xs[0]).show()\n", "#gen_image(batch_xs[1]).show()" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "128\n", "Image:\n" ] }, { "data": { "image/png": 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xRg1/vi7ttUv0tVYlvG78wg8Iil/4AUERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8I6v8Bn+n6H3O9LswAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADx5JREFUeJzt3X+QVfV5x/HPAy4YVxxBIxJ+FKOosTTBZgMaOhlSxWCSDtI2KnYIJuiaRKeaMU0s7VScNgmtQco06hSEEYwx2kQKydhGQ0yJU2VclQH8TewKBIYfRQNqQdh9+scenBX3fO/1/joXnvdrhtl7z3O+e565w2fPvfd7z/2auwtAPP2KbgBAMQg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgjmnkwQbYQD9WrY08JBDKPr2pt32/lbNvVeE3symSFkjqL+kud5+b2v9YtWqCXVDNIQEkrPFVZe9b8dN+M+sv6XZJF0s6R9J0Mzun0t8HoLGqec0/XtJGd3/F3d+W9CNJU2vTFoB6qyb8wyVt7nV/S7btXcys3cw6zKzjgPZXcTgAtVRN+Pt6U+E91we7+0J3b3P3thYNrOJwAGqpmvBvkTSy1/0RkrZW1w6ARqkm/E9KGmNmp5nZAEmXS1pZm7YA1FvFU33uftDMrpP0c/VM9S1x92dr1hmAuqpqnt/dH5L0UI16AdBAfLwXCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoKpapdfMOiXtldQl6aC7t9WiKbxbv9bWZH3TX34stzbiwk3JsR8d/Ntk/dZTn0nWu7w7Wb9p+8dzaxuuPCs5tnvdC8k6qlNV+DOfdvddNfg9ABqIp/1AUNWG3yU9bGZPmVl7LRoC0BjVPu2f6O5bzewUSY+Y2Qvuvrr3DtkfhXZJOlbHVXk4ALVS1Znf3bdmP3dIWi5pfB/7LHT3Nndva9HAag4HoIYqDr+ZtZrZoEO3JV0kaUOtGgNQX9U87R8qabmZHfo9P3T3/6xJVwDqruLwu/srkvInmPGOY4admqz/5isfTtanX/KrZH3lyf+SW/valk8lx674+XnJ+i82n5+sHxiULOtfr/l+bu34e/Ynxz5x/onJevdbb6UPjiSm+oCgCD8QFOEHgiL8QFCEHwiK8ANB1eKqvvD2/cl7Ptj4LtPmPpysP3jiT5P1v9r2yWT909d/Lbd2/Ir0JbmnHXg8Wa/WjJFfza29OO2O5Njzr7guWT/prvr2frTjzA8ERfiBoAg/EBThB4Ii/EBQhB8IivADQTHPX6bU12dfO+/+5NhprbuT9Y/Puz5ZH3bbfyfrrVqTW/PkyPo7+5ZX8ovT0mPPmfVssr79rgoawjs48wNBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUMzzl8la8h+qM1t2JMfetntssl5qHv9I9upVYxLV9DIPi0c9mqxfMjr9QYGDnenlyaPjzA8ERfiBoAg/EBThB4Ii/EBQhB8IivADQZWc5zezJZI+L2mHu4/Ntg2RdL+k0ZI6JV3q7q/Vr83idb3+u9zaVd+5ITn2/r+9NVk/6+X0Et7f/LcZyfoZ8zfm1rp27kyOLaX/SUOS9c13pXtfNz5/ie7fHNyXHPuh/v2T9c4rRiTrI77DPH9KOWf+uyVNOWzbTZJWufsYSauy+wCOICXD7+6rJR3+VTRTJS3Nbi+VdEmN+wJQZ5W+5h/q7tskKft5Su1aAtAIdf9sv5m1S2qXpGN1XL0PB6BMlZ75t5vZMEnKfuZe2eLuC929zd3bWjSwwsMBqLVKw79S0szs9kxJK2rTDoBGKRl+M7tP0uOSzjKzLWY2S9JcSZPN7GVJk7P7AI4g5t64b3Y/wYb4BLugYcdrFnsvPy9Zv+O7C5L13x+QfmvmgTfy32+982/+PDm29cf53/kvSRvvOTdZf+GP01+ev+r/8t/nmX/FpcmxH7g1/T0J6zd9KFk/Y8YzyfrRaI2v0h7fbeXsyyf8gKAIPxAU4QeCIvxAUIQfCIrwA0Ex1dcEjhmenrJ64RujkvX/+rPv5dZO7JeeJpyy4Yr07/6DHyfrT+xPlvX3l83MrfmT65Nj+w0alKzbyGHJetdzLyXrRyOm+gCURPiBoAg/EBThB4Ii/EBQhB8IivADQTHPfxSwtvwlwEfe/j/JsXeMWJ2s91N6yvjMX85K1iNeVlsk5vkBlET4gaAIPxAU4QeCIvxAUIQfCIrwA0HVfbku1J93bMitrdn2kfTg9CrXJT0+KX8JbkmasOT63NqZX+6o7uCoCmd+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiq5Dy/mS2R9HlJO9x9bLZtjqSrJe3Mdpvt7g/Vq0mk9Tsufxnsb5z9SHLsyjcHJ+vfvfUvkvV/+NaSZH3jZxbm1sYsuyo59uyvdybrXf+7O1lHWjln/rslTelj+3x3H5f9I/jAEaZk+N19tST+xAJHmWpe819nZuvMbImZpZ87Amg6lYb/TkmnSxonaZukeXk7mlm7mXWYWccBlVjYDUDDVBR+d9/u7l3u3i1pkaTxiX0Xunubu7e1aGClfQKosYrCb2a9l0edJin/sjIATamcqb77JE2SdLKZbZF0s6RJZjZOkkvqlHRNHXsEUAclw+/u0/vYvLgOvaBCW9vH5damD/p1cuyZP/tKur7o8WR9/vrLkvW7523Jrb14waLk2HMXfTFZH/6nTEJVg0/4AUERfiAowg8ERfiBoAg/EBThB4Liq7uPBpNeq3jo6OVVHvuJdcnynotPyK3N+I/JybHPTFiWrH/mwvZkveUXTyXr0XHmB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgmOcP7gOvvp6sd1X5+7v27MmtvXbjR5NjH/5Ba7LefvuDyfo9F07MrR3cnH+pcRSc+YGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKOb5UZwS3wVw8z9+KVlfM+f2ZP2WL4/KrY26hXl+zvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EFTJeX4zGylpmaRTJXVLWujuC8xsiKT7JY2W1CnpUnev/AvkUbF9+1tya/1kybHdrQNr3U7NnFRiefCffjN/TQBJuu/K+bm12QsuSo7tev13yfrRoJwz/0FJN7r7RySdJ+laMztH0k2SVrn7GEmrsvsAjhAlw+/u29z96ez2XknPSxouaaqkpdluSyVdUq8mAdTe+3rNb2ajJZ0raY2koe6+Ter5AyHplFo3B6B+yg6/mR0v6SeSbnD3/C9me++4djPrMLOOA9pfSY8A6qCs8JtZi3qCf6+7H/rWxO1mNiyrD5O0o6+x7r7Q3dvcva1FzfvmEhBNyfCbmUlaLOl5d7+tV2mlpJnZ7ZmSVtS+PQD1Us4lvRMlzZC03szWZttmS5or6QEzmyVpk6Qv1KdFlHLGX+e/Cnvpl/uSYycsfiZZf+Jj+dOIRbtz06Rk/WdnJ85HLQNq2suRqGT43f0xKXey+ILatgOgUfiEHxAU4QeCIvxAUIQfCIrwA0ERfiAovrr7KHDwlc7c2mVrZyXHPvWJHyTrn12Vvl6r+9vpSzqOefTp3Jr1758cu2vmJ5L1X52Vf8muJLVvnpxb69q1Kzk2As78QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxAU8/xHuRFXbk3WJ957ebL++Lj7k/XuezxZ//rWT+bWTmx5Kzn25g9+P1lf/ubQZP3Vvzsrt9biHcmxEXDmB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgmOc/ypVaanrw59L1z7V9MVl/8avHJutnjN6eW7t65Ork2LGPfSlZP/2W9JoELc8xl5/CmR8IivADQRF+ICjCDwRF+IGgCD8QFOEHgjL39PXYZjZS0jJJp0rqlrTQ3ReY2RxJV0vame06290fSv2uE2yITzBW9QbqZY2v0h7fbeXsW86HfA5KutHdnzazQZKeMrNHstp8d/9epY0CKE7J8Lv7Nknbstt7zex5ScPr3RiA+npfr/nNbLSkcyWtyTZdZ2brzGyJmQ3OGdNuZh1m1nFA+6tqFkDtlB1+Mzte0k8k3eDueyTdKel0SePU88xgXl/j3H2hu7e5e1uLBtagZQC1UFb4zaxFPcG/190flCR33+7uXe7eLWmRpPH1axNArZUMv5mZpMWSnnf323ptH9Zrt2mSNtS+PQD1Us67/RMlzZC03szWZttmS5puZuMkuaROSdfUpUMAdVHOu/2PSepr3jA5pw+gufEJPyAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFAlv7q7pgcz2ynp1V6bTpa0q2ENvD/N2luz9iXRW6Vq2dvvufsHy9mxoeF/z8HNOty9rbAGEpq1t2btS6K3ShXVG0/7gaAIPxBU0eFfWPDxU5q1t2btS6K3ShXSW6Gv+QEUp+gzP4CCFBJ+M5tiZi+a2UYzu6mIHvKYWaeZrTeztWbWUXAvS8xsh5lt6LVtiJk9YmYvZz/7XCatoN7mmNlvs8durZl9tqDeRprZo2b2vJk9a2bXZ9sLfewSfRXyuDX8ab+Z9Zf0kqTJkrZIelLSdHd/rqGN5DCzTklt7l74nLCZfUrSG5KWufvYbNs/Sdrt7nOzP5yD3f1bTdLbHElvFL1yc7agzLDeK0tLukTSlSrwsUv0dakKeNyKOPOPl7TR3V9x97cl/UjS1AL6aHruvlrS7sM2T5W0NLu9VD3/eRoup7em4O7b3P3p7PZeSYdWli70sUv0VYgiwj9c0uZe97eouZb8dkkPm9lTZtZedDN9GJotm35o+fRTCu7ncCVXbm6kw1aWbprHrpIVr2utiPD3tfpPM005THT3P5R0saRrs6e3KE9ZKzc3Sh8rSzeFSle8rrUiwr9F0she90dI2lpAH31y963Zzx2Slqv5Vh/efmiR1OznjoL7eUczrdzc18rSaoLHrplWvC4i/E9KGmNmp5nZAEmXS1pZQB/vYWat2RsxMrNWSRep+VYfXilpZnZ7pqQVBfbyLs2ycnPeytIq+LFrthWvC/mQTzaV8c+S+kta4u7fbngTfTCzD6vnbC/1LGL6wyJ7M7P7JE1Sz1Vf2yXdLOnfJT0gaZSkTZK+4O4Nf+Mtp7dJ6nnq+s7KzYdeYze4tz+S9GtJ6yV1Z5tnq+f1dWGPXaKv6SrgceMTfkBQfMIPCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQ/w/GakC02bOdFwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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n1XqjD2+StDR7vFTSIyX28jatMnJzpZGlVfJr12ojXpdykk92KOMbktokrXL3fyi8iSGY2fvUv7eX+gcxXVdmb2a2XtIC9V/1dUjSlyT9m6SHJM2QtE/SYncv/A9vFXpboP63rm+N3DzwGbvg3uZL+omknZL6ssnL1f/5urTXLtHXEpXwunGGHxAUZ/gBQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwjq/wG7FkjvLx8mKwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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v+AFBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIQfCOpPsCsS5czwnmQAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADc1JREFUeJzt3X+MHHUZx/HPQ+96hSuYVqTWtnAFK1pRqzmLCiFgAymFWNBAKP6oifGMQiIGfyB/CDHREFQQFcFDCiXhp0Gg0aqQk4iNWjgI8qsqWA979uiJRShof97jHzc1R7n57nZ3dmfvnvcraW53npmdp5v73Ozud3a+5u4CEM8BZTcAoByEHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUG3N3NlU6/Bp6mzmLoFQtusV7fQdVs26dYXfzJZKukrSFEk/dvfLUutPU6eOtSX17BJAwnrvq3rdml/2m9kUSVdLOlXSQkkrzGxhrY8HoLnqec+/WNIz7r7R3XdKuk3S8mLaAtBo9YR/jqRNY+4PZstexcx6zKzfzPp3aUcduwNQpHrCP96HCq/5frC797p7t7t3t6ujjt0BKFI94R+UNG/M/bmSNtfXDoBmqSf8D0laYGbzzWyqpHMkrSmmLQCNVvNQn7vvNrPzJf1Ko0N9q9z9ycI6A9BQdY3zu/taSWsL6gVAE3F6LxAU4QeCIvxAUIQfCIrwA0ERfiCopn6fH42xc+l7c2v3r7ouue37//iRZP2QU/9aU09ofRz5gaAIPxAU4QeCIvxAUIQfCIrwA0Ex1DcJbP/81pq3fXHdrGT9EDHUN1lx5AeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoBjnnwDaug5P1j87/ze5tYW/+1hy266r01db35OsYiLjyA8ERfiBoAg/EBThB4Ii/EBQhB8IivADQdU1zm9mA5K2aXQ4eLe7dxfRFF7tld703+hPHPJ8bu2Sfx2Y3HbPv1+sqSdMfEWc5HOSu+f/9gFoSbzsB4KqN/wu6V4ze9jMeopoCEBz1Puy/zh332xmh0m6z8z+5O4PjF0h+6PQI0nTdFCduwNQlLqO/O6+Ofs5LOkuSYvHWafX3bvdvbtdHfXsDkCBag6/mXWa2cF7b0s6RdITRTUGoLHqedk/S9JdZrb3cW5x918W0hWAhqs5/O6+UdK7CuwlrB3L8qfYlqQbjr4yWX9hT/4LuIXffC657e5kFZMZQ31AUIQfCIrwA0ERfiAowg8ERfiBoLh0dwvouHAoWZ/fPj1dvzv/axVvefbBmnrC5MeRHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCYpy/CdqO7ErWv33ULcn6Dm9P1uffPbK/LQEc+YGoCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMb5m2DbOw5L1t82NT2N2W3bZiTr7ff273dPAEd+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiq4ji/ma2SdLqkYXc/Jls2U9LtkrokDUg6291faFybE9vmE+r7G/vVX5+VrL9FXJsf+6+a38obJS3dZ9lFkvrcfYGkvuw+gAmkYvjd/QFJW/dZvFzS6uz2aklnFNwXgAar9fXoLHcfkqTsZ/r8VQAtp+Hn9ptZj6QeSZqm9DnsAJqn1iP/FjObLUnZz+G8Fd2919273b27XR017g5A0WoN/xpJK7PbKyXdU0w7AJqlYvjN7FZJv5d0tJkNmtmnJF0m6WQze1rSydl9ABNIxff87r4ip7Sk4F6QY06fld0CJiHO8AOCIvxAUIQfCIrwA0ERfiAowg8ExaW7MWG1zZ2TXmFq/tTmuzcOFNvMBMSRHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCYpwfDXVAZ2dubfij70xue1xPeurxc2euSdbf1Pbf/G2/cGFy28471yfrkwFHfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IinF+pFn6suEjJyxK1g+//C+5tV/Muya57R4fSdZ/8vKhyfr7puXPGv/c+9P/r6PuTJYnBY78QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxBUxXF+M1sl6XRJw+5+TLbsUkmflvTPbLWL3X1to5pEeZ7+weJkfeOZP0rWXx7Znls7/rFzk9u2fe/1yfqmU6Yk6+ecfW2yHl01R/4bJS0dZ/mV7r4o+0fwgQmmYvjd/QFJW5vQC4Amquc9//lm9piZrTKzGYV1BKApag3/NZKOkrRI0pCk7+StaGY9ZtZvZv27tKPG3QEoWk3hd/ct7r7H3UckXScp91Mhd+919253725XR619AihYTeE3s9lj7p4p6Yli2gHQLNUM9d0q6URJh5rZoKRLJJ1oZoskuaQBSZ9pYI8AGqBi+N19xTiLr29AL5PWtOH6zqWa/rnBZH3KQ/Nya7uf3ZTcdvhzH0jWN575w2T9+T2vJOunfu2LubWZN/w+ua20MVldd+26CttPz610buL8Np4BICjCDwRF+IGgCD8QFOEHgiL8QFBcursJ5l6Rnmr6nA99MFn/5Vt/nqwvu3FZfvGD6UtU71zyYrJeyfe3pr/yW3k4L1/b7Dcm6wcdkP5Kb8qsB9NDlBFw5AeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoBjnbwLftTNZ3/ytNyfrQ99bk6yvPTr/4snnrjspue3Pum5K1q9/cU6y3r/siGRd2pxfqjD991Nfz/+qsiS97oADk/Wr/52/ffvAluS2u5PVyYEjPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8ExTh/Czjw7geT9SVv/3Ky/tR5+ZfXvmX+/RX2nv5O/IKO55L1gZVdyfoRP5mWW/vHaenv6//ttPRlwyu5+eun5dYOHvpDXY89GXDkB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgzN3TK5jNk3STpDdKGpHU6+5XmdlMSbdL6pI0IOlsd38h9ViH2Ew/1pYU0HYs1pY+HeO5z+ZfO/8XX7o8ue3stvxprMv2n5H0dRCOveqCZH3u9x/JrY1s315TT61uvffpJd+avlBCppoj/25JF7r72yS9T9J5ZrZQ0kWS+tx9gaS+7D6ACaJi+N19yN0fyW5vk7RB0hxJyyWtzlZbLemMRjUJoHj79Z7fzLokvVvSekmz3H1IGv0DIemwopsD0DhVh9/Mpku6U9IF7v7SfmzXY2b9Zta/Sztq6RFAA1QVfjNr12jwb3b3n2aLt5jZ7Kw+W9LweNu6e6+7d7t7d7s6iugZQAEqht/MTNL1kja4+xVjSmskrcxur5R0T/HtAWiUaob6jpf0W0mPa3SoT5Iu1uj7/jskHS7p75LOcvetqcdiqK/52o5IX/568MPp+pST/pWszzjov8l638L8y46f+7f0ZcW3fO3IZL2t7+FkPaL9Geqr+H1+d18nKe/BSDIwQXGGHxAU4QeCIvxAUIQfCIrwA0ERfiCoiuP8RWKcH2isor/SC2ASIvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaAqht/M5pnZ/Wa2wcyeNLPPZ8svNbN/mNmj2b9ljW8XQFHaqlhnt6QL3f0RMztY0sNmdl9Wu9Ldv9249gA0SsXwu/uQpKHs9jYz2yBpTqMbA9BY+/We38y6JL1b0vps0flm9piZrTKzGTnb9JhZv5n179KOupoFUJyqw29m0yXdKekCd39J0jWSjpK0SKOvDL4z3nbu3uvu3e7e3a6OAloGUISqwm9m7RoN/s3u/lNJcvct7r7H3UckXSdpcePaBFC0aj7tN0nXS9rg7leMWT57zGpnSnqi+PYANEo1n/YfJ+njkh43s0ezZRdLWmFmiyS5pAFJn2lIhwAaoppP+9dJGm++77XFtwOgWTjDDwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EJS5e/N2ZvZPSc+OWXSopOeb1sD+adXeWrUvid5qVWRvR7j7G6pZsanhf83Ozfrdvbu0BhJatbdW7Uuit1qV1Rsv+4GgCD8QVNnh7y15/ymt2lur9iXRW61K6a3U9/wAylP2kR9ASUoJv5ktNbM/m9kzZnZRGT3kMbMBM3s8m3m4v+ReVpnZsJk9MWbZTDO7z8yezn6OO01aSb21xMzNiZmlS33uWm3G66a/7DezKZL+IulkSYOSHpK0wt2famojOcxsQFK3u5c+JmxmJ0h6WdJN7n5MtuxySVvd/bLsD+cMd/9Ki/R2qaSXy565OZtQZvbYmaUlnSHpkyrxuUv0dbZKeN7KOPIvlvSMu290952SbpO0vIQ+Wp67PyBp6z6Ll0tand1erdFfnqbL6a0luPuQuz+S3d4mae/M0qU+d4m+SlFG+OdI2jTm/qBaa8pvl3SvmT1sZj1lNzOOWdm06XunTz+s5H72VXHm5mbaZ2bplnnuapnxumhlhH+82X9aacjhOHd/j6RTJZ2XvbxFdaqaublZxplZuiXUOuN10coI/6CkeWPuz5W0uYQ+xuXum7Ofw5LuUuvNPrxl7ySp2c/hkvv5v1aauXm8maXVAs9dK814XUb4H5K0wMzmm9lUSedIWlNCH69hZp3ZBzEys05Jp6j1Zh9eI2lldnulpHtK7OVVWmXm5ryZpVXyc9dqM16XcpJPNpTxXUlTJK1y9280vYlxmNmRGj3aS6OTmN5SZm9mdqukEzX6ra8tki6RdLekOyQdLunvks5y96Z/8JbT24kafen6/5mb977HbnJvx0v6raTHJY1kiy/W6Pvr0p67RF8rVMLzxhl+QFCc4QcERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+IKj/AXWo2h/uUILLAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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fqNaa8tslLTOzZ8xsbtnN9GNcNm363unTx5bcz74qztzcTPvMLN0yx66WGa+LVkb4+5v9p5WGHGa4++clnS3piuztLapT1czNzdLPzNItodYZr4tWRvg3SprQ5/lRkjaV0Ee/3H1T9rNL0iNqvdmHt+ydJDX72VVyPx9rpZmb+5tZWi1w7Fppxusywv+0pGPNbLKZDZN0kaQlJfTxKWY2KvtDjMxslKQz1XqzDy+RNCd7PEfSoyX28gmtMnNz3szSKvnYtdqM16Vc5JMNZdwhaaik+e7+901voh9m9lvqPdtLvZOY3l9mb2a2SNJM9X7ra4ukGyX9m6QHJU2U9Lqkr7l70//wltPbTPW+df145ua9n7Gb3Nupkv5b0vOS9mSLr1fv5+vSjl2ir9kq4bhxhR8QFFf4AUERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8I6v8A+cA16dZ364AAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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UNHNzUQaZWbol1Dvjdd7KCH+vpIkD7k+QtKuEPgbl7ruyn3slPa7Wm314z/FJUrOfe0vu512tNHPzYDNLqwVeu1aa8bqM8K+XNNXMJptZu6TrJK0ooY/3MbPO7IsYmVmnpE+r9WYfXiFpfnZ7vqQnSuzlPVpl5uZKM0ur5Neu1Wa8LuUgn2wo428lDZfU4+53F97EIMxsivr39lL/JKY/LLM3M1sm6VL1n/W1R9K3JP2zpB9JOlfSK5I+5+6Ff/FWobdL1f/W9d2Zm49/xi64t0sk/VzSZknHssUL1P/5urTXLtHXPJXwunGEHxAUR/gBQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwjq/wGfTCiDv0M1EQAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADJlJREFUeJzt3W+oXPWdx/H3d90YSdqCoauNNquulUURNl0uSUrW4CJWuxSiD2qbB20WSmNBYVsKXcmT+mRBZFvXB9JtuoYm0FoLbdY8kG0lFGJhG4wSqjW726yNbTYhsaQQu2Xjn3z3wT2R23jvzGRmzpy59/t+QZiZ8zsz58shn/s7M79zzi8yE0n1/FHXBUjqhuGXijL8UlGGXyrK8EtFGX6pKMMvFWX4paIMv1TUH09yY5fG8ryMlZPcpFTK//G/vJFnY5B1Rwp/RNwJPApcAvxLZj7Ua/3LWMn6uG2UTUrq4UDuG3jdoQ/7I+IS4DHgY8BNwJaIuGnYz5M0WaN8518HHMnMVzLzDeC7wObxlCWpbaOE/2rg13NeH2uW/YGI2BYRByPi4JucHWFzksZplPDP96PCu64PzswdmTmTmTPLWD7C5iSN0yjhPwasmfP6g8Dx0cqRNCmjhP854IaIuC4iLgU+BewdT1mS2jb0UF9mvhUR9wM/ZHaob2dm/nxslUlq1Ujj/Jn5NPD0mGqRNEGe3isVZfilogy/VJThl4oy/FJRhl8qyvBLRRl+qSjDLxVl+KWiDL9UlOGXijL8UlGGXyrK8EtFGX6pKMMvFWX4paIMv1SU4ZeKMvxSUYZfKsrwS0UZfqkowy8VZfilogy/VJThl4oy/FJRI83SGxFHgdeBt4G3MnNmHEVJat9I4W/8dWb+ZgyfI2mCPOyXiho1/An8KCKej4ht4yhI0mSMeti/MTOPR8QVwDMR8R+ZuX/uCs0fhW0Al7FixM1JGpeRev7MPN48ngL2AOvmWWdHZs5k5swylo+yOUljNHT4I2JlRLz3/HPgo8BL4ypMUrtGOey/EtgTEec/5zuZ+W9jqUpS64YOf2a+AvzFGGtZsn5/9/qe7dd9+XDP9t3X7O/Zfv2Tn1+w7UNf/GnP96ouh/qkogy/VJThl4oy/FJRhl8qyvBLRY3jqj71cXxT9Gx/ts9QXj///cl/Xrjxk73f22uYcCm7an/2bF+x58CEKumOPb9UlOGXijL8UlGGXyrK8EtFGX6pKMMvFeU4/wT0G1PuNxbfpp7nCCxlffb5Ldzbs30pnAdgzy8VZfilogy/VJThl4oy/FJRhl8qyvBLRTnOPwH9xoTv2LN2pM/vdWvwfvcS6NLGDS/3bO93y3KNxp5fKsrwS0UZfqkowy8VZfilogy/VJThl4qKzN7XmkfETuDjwKnMvLlZtgp4ErgWOArck5m/7bex98WqXB+3jViyNOuHxw+19tl3XDXauRddOZD7OJOnBzq5Y5Ce/1vAnRcsewDYl5k3APua15IWkb7hz8z9wOkLFm8GdjXPdwF3jbkuSS0b9jv/lZl5AqB5vGJ8JUmahNbP7Y+IbcA2gMtY0fbmJA1o2J7/ZESsBmgeTy20YmbuyMyZzJxZxvIhNydp3IYN/15ga/N8K/DUeMqRNCl9wx8RTwD/Dvx5RByLiM8CDwG3R8QvgNub15IWkb7f+TNzywJNDtirVUce2dBnjeHH+W+5r899+Vn89+XvxzP8pKIMv1SU4ZeKMvxSUYZfKsrwS0V56251ptctx2H06cM/8+qmBduWwhTbo7Lnl4oy/FJRhl8qyvBLRRl+qSjDLxVl+KWiHOdXZ5597Bsjvb/XOD7AyY+cGenzlzp7fqkowy8VZfilogy/VJThl4oy/FJRhl8qynF+tarNabQdxx+NPb9UlOGXijL8UlGGXyrK8EtFGX6pKMMvFdV3nD8idgIfB05l5s3NsgeBzwGvNattz8yn2ypyqet3//rjm6K1bY96b/wu9TuH4I6r1k6oksVpkJ7/W8Cd8yx/JDPXNv8MvrTI9A1/Zu4HTk+gFkkTNMp3/vsj4mcRsTMiLh9bRZImYtjwfx24HlgLnAC+utCKEbEtIg5GxME3OTvk5iSN21Dhz8yTmfl2Zp4Dvgms67HujsycycyZZSwftk5JYzZU+CNi9ZyXdwMvjaccSZMyyFDfE8CtwPsj4hjwFeDWiFgLJHAUuLfFGiW1oG/4M3PLPIsfb6GWska9f31Vt9zXu89ZwYEJVbI4eYafVJThl4oy/FJRhl8qyvBLRRl+qShv3T0Frn/y8z3bN254uWf77mv2j7Ocseo1jfYvH76x53tX7Ok9VOdQ3mjs+aWiDL9UlOGXijL8UlGGXyrK8EtFGX6pqMjMiW3sfbEq18dtE9ue4MgjG3q2t33rbm+fPVkHch9n8vRA93q355eKMvxSUYZfKsrwS0UZfqkowy8VZfiloryefwnoNZbf9ji+t89evOz5paIMv1SU4ZeKMvxSUYZfKsrwS0UZfqmovuP8EbEG2A18ADgH7MjMRyNiFfAkcC1wFLgnM3/bXql1/f7u9T3b2xzL7zenwIf2/LS1batdg/T8bwFfyswbgQ3AfRFxE/AAsC8zbwD2Na8lLRJ9w5+ZJzLzheb568Bh4GpgM7CrWW0XcFdbRUoav4v6zh8R1wIfBg4AV2bmCZj9AwFcMe7iJLVn4PBHxHuA7wNfyMwzF/G+bRFxMCIOvsnZYWqU1IKBwh8Ry5gN/rcz8wfN4pMRsbppXw2cmu+9mbkjM2cyc2YZy8dRs6Qx6Bv+iAjgceBwZn5tTtNeYGvzfCvw1PjLk9SWQS7p3Qh8GngxIg41y7YDDwHfi4jPAr8CPtFOiUtfv6G8Zx/7Rmvb7juU90WH8paqvuHPzJ8AC90H3JvwS4uUZ/hJRRl+qSjDLxVl+KWiDL9UlOGXivLW3RPQ5Tj+Z17d1LPdcfy67Pmlogy/VJThl4oy/FJRhl8qyvBLRRl+qSjH+Sfgui8fbvXze43ln/zIwHdcUzH2/FJRhl8qyvBLRRl+qSjDLxVl+KWiDL9UlOP8Y9Dvev3d14x2vX6/a/J/+fCNC7at4MBI29bSZc8vFWX4paIMv1SU4ZeKMvxSUYZfKsrwS0X1HeePiDXAbuADwDlgR2Y+GhEPAp8DXmtW3Z6ZT7dV6GLWb5y+/zX3vdsdy9cwBjnJ5y3gS5n5QkS8F3g+Ip5p2h7JzH9srzxJbekb/sw8AZxonr8eEYeBq9suTFK7Luo7f0RcC3wY3jnOvD8ifhYROyPi8gXesy0iDkbEwTc5O1KxksZn4PBHxHuA7wNfyMwzwNeB64G1zB4ZfHW+92XmjsycycyZZSwfQ8mSxmGg8EfEMmaD/+3M/AFAZp7MzLcz8xzwTWBde2VKGre+4Y+IAB4HDmfm1+YsXz1ntbuBl8ZfnqS2DPJr/0bg08CLEXGoWbYd2BIRa4EEjgL3tlLhIrBiT++htpN7JlSIdBEG+bX/J0DM0+SYvrSIeYafVJThl4oy/FJRhl8qyvBLRRl+qSjDLxVl+KWiDL9UlOGXijL8UlGGXyrK8EtFGX6pqMjMyW0s4jXg1TmL3g/8ZmIFXJxprW1a6wJrG9Y4a7smM/9kkBUnGv53bTziYGbOdFZAD9Na27TWBdY2rK5q87BfKsrwS0V1Hf4dHW+/l2mtbVrrAmsbVie1dfqdX1J3uu75JXWkk/BHxJ0R8Z8RcSQiHuiihoVExNGIeDEiDkXEwY5r2RkRpyLipTnLVkXEMxHxi+Zx3mnSOqrtwYj4n2bfHYqIv+motjUR8eOIOBwRP4+Iv2uWd7rvetTVyX6b+GF/RFwC/BdwO3AMeA7YkpkvT7SQBUTEUWAmMzsfE46ITcDvgN2ZeXOz7GHgdGY+1PzhvDwz/35KansQ+F3XMzc3E8qsnjuzNHAX8Ld0uO961HUPHey3Lnr+dcCRzHwlM98Avgts7qCOqZeZ+4HTFyzeDOxqnu9i9j/PxC1Q21TIzBOZ+ULz/HXg/MzSne67HnV1oovwXw38es7rY0zXlN8J/Cgino+IbV0XM48rm2nTz0+ffkXH9Vyo78zNk3TBzNJTs++GmfF63LoI/3yz/0zTkMPGzPxL4GPAfc3hrQYz0MzNkzLPzNJTYdgZr8eti/AfA9bMef1B4HgHdcwrM483j6eAPUzf7MMnz0+S2jye6ried0zTzM3zzSzNFOy7aZrxuovwPwfcEBHXRcSlwKeAvR3U8S4RsbL5IYaIWAl8lOmbfXgvsLV5vhV4qsNa/sC0zNy80MzSdLzvpm3G605O8mmGMv4JuATYmZn/MPEi5hERf8Zsbw+zk5h+p8vaIuIJ4FZmr/o6CXwF+Ffge8CfAr8CPpGZE//hbYHabmX20PWdmZvPf8eecG1/BTwLvAicaxZvZ/b7dWf7rkddW+hgv3mGn1SUZ/hJRRl+qSjDLxVl+KWiDL9UlOGXijL8UlGGXyrq/wHjv56eiV7xoQAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADkpJREFUeJzt3X+MHPV5x/HP4+NsF/+IfHFMXONiCE4asIIxh2kgaU2JXZKiGhLxw40ik5Bc1IbKkaKoiH9CK6GiikBolTo6yDVOINAUQrASi0BPbg0pNT7AwRAnMXUMGLs+m6uwiRPbd/f0jxtXh7n57t7u7M6en/dLsnZ3npmbhxWfm937zszX3F0A4plUdgMAykH4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8EdUozdzbZpvhUTWvmLoFQfqtf66gfsWrWrSv8Zna5pLsktUm6x91vS60/VdN0kV1Wzy4BJGz23qrXrfljv5m1Sfq6pI9KOkfSKjM7p9afB6C56vnOv1TSS+6+092PSnpA0spi2gLQaPWEf56kV0e93p0tewsz6zKzPjPrO6YjdewOQJHqCf9Yf1R42/XB7t7t7p3u3tmuKXXsDkCR6gn/bknzR70+XdKe+toB0Cz1hH+LpIVmdqaZTZZ0naT1xbQFoNFqHupz90Ezu1HSjzUy1Nfj7i8W1hmAhqprnN/dN0jaUFAvAJqI03uBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8Iqq5Zes1sl6RDkoYkDbp7ZxFNAWi8usKfudTdDxTwcwA0ER/7gaDqDb9LeszMnjGzriIaAtAc9X7sv8Td95jZHEmPm9nP3X3T6BWyXwpdkjRVp9a5OwBFqevI7+57ssd+SQ9LWjrGOt3u3unune2aUs/uABSo5vCb2TQzm3H8uaQVkl4oqjEAjVXPx/7TJD1sZsd/znfd/dFCugLQcDWH3913SjqvwF4ANBFDfUBQhB8IivADQRF+ICjCDwRF+IGgiriqDw026dT0adEHrs0fcV3yF1uT2/7TvJ8k688cHUrW/+bDVybrfvBQbq3/mnPT2658PVl/eskDyXqb5R/bhnw4ue1fvnZJsv7qn05P1of270/WWwFHfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8Iyty9aTubaR1+kV3WtP1NFJNmzEjWf/3g7GR946KHimxnXF4bOlzztvPaJu5t3a7duSJZP/Thcm5ovdl7ddAHrJp1OfIDQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFBcz98C9nzn9GT92UX3NamT8StzrP7nx44k61/+1Sdya//9kzPq2vexWen7ASxU609czZEfCIrwA0ERfiAowg8ERfiBoAg/EBThB4KqOM5vZj2SrpDU7+6LsmUdkv5F0gJJuyRd4+7/27g2J7ajf9KZrP/7Bf9Q4SdMLa6ZceqvcL3+jw+flazvPtqRW/vn3mXJbae/kj42zfvh/yTrQzt25tYWaE9y2wiqOfJ/S9LlJyy7SVKvuy+U1Ju9BjCBVAy/u2+SNHDC4pWS1mXP10lKT9sCoOXU+p3/NHffK0nZ45ziWgLQDA0/t9/MuiR1SdJUTdx7tgEnm1qP/PvMbK4kZY/9eSu6e7e7d7p7Z7um1Lg7AEWrNfzrJa3Onq+W9Egx7QBolorhN7P7JT0l6X1mttvMbpB0m6TlZrZD0vLsNYAJpOJ3fndflVPiBvxV2nVV+nfszEnpcfzOvj9P1u3RWbm1w+9O38L9d59IXxPffvBosq6nt6XrCWfrv2reVpKG6toanOEHBEX4gaAIPxAU4QeCIvxAUIQfCIpbd08AHdPSl9W23/1Sbs0HB4tuBycJjvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EBTj/E3wO6/V9zY/9v4fJOufffKPcmvP9yxKbjv7nqfTOx/mwtmTFUd+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwjK3L1pO5tpHX6RBbzjt6Vvn73jH5em61etLbKbt/jR4enJ+pqNn0zWz6gwXcuUH20Zb0uow2bv1UEfSP8Pl+HIDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBVRznN7MeSVdI6nf3RdmyWyR9TtL+bLWb3X1DpZ2FHeevwE5JX+//2+XnJ+svfzy/9uBHvp7cdvHk+u41cMTT8wKcd++a3NrC23+Z3HbowOs19RRZ0eP835J0+RjL73T3xdm/isEH0Foqht/dN0kaaEIvAJqonu/8N5rZ82bWY2azCusIQFPUGv61kt4jabGkvZK+mreimXWZWZ+Z9R3TkRp3B6BoNYXf3fe5+5C7D0u6W1LulSnu3u3une7e2a4ptfYJoGA1hd/M5o56eZWkF4ppB0CzVBznMbP7JS2TNNvMdkv6iqRlZrZYkkvaJenzDewRQANwPf9JbvCPL0jWX10xOVlfe3V3sr5s6rFx93TctTtXJOuHrxxO1odeZxDqRFzPD6Aiwg8ERfiBoAg/EBThB4Ii/EBQDPUhqe3sM5P1A3elTxW559zv5NbObU8PM6761fJk/Y0PccnviRjqA1AR4QeCIvxAUIQfCIrwA0ERfiAowg8ExTg/GmrgMx/MrW382zuT206qcGz6xBXXJ+vDW3+WrJ+MGOcHUBHhB4Ii/EBQhB8IivADQRF+ICjCDwRV3/zMQAUdPU/l1i7+s08nt33uwvuS9f6l70jWZ29NlsPjyA8ERfiBoAg/EBThB4Ii/EBQhB8IivADQVUMv5nNN7ONZrbdzF40szXZ8g4ze9zMdmSPsxrfLk4m7W1DyX9orGqO/IOSvuTu75f0B5K+YGbnSLpJUq+7L5TUm70GMEFUDL+773X3Z7PnhyRtlzRP0kpJ67LV1km6slFNAijeuL7zm9kCSedL2izpNHffK438gpA0p+jmADRO1eE3s+mSHpL0RXc/OI7tusysz8z6julILT0CaICqwm9m7RoJ/n3u/v1s8T4zm5vV50rqH2tbd+92905372zXlCJ6BlCAav7ab5K+KWm7u98xqrRe0urs+WpJjxTfHoBGqeaS3kskfUrSNjM7fpHkzZJuk/Q9M7tB0iuSrm5Mi5jI2s55b27tP5ekL9l90weT9Xf1bEnWm3dT+ompYvjd/UlJefcB5yb8wATFGX5AUIQfCIrwA0ERfiAowg8ERfiBoLh1N+rSNnNmsv7GHflj9aeoLbntc0fSZ4T6YPo8AKRx5AeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoBjnb4IDXR9M1ufc+9Nkffjw4SLbGRe/+Lxk/ZS/25esbzr7wdza3qH0f9et1/9Vsj5JzyXrSOPIDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBMc7fBANL0tNNv/G+DyTr7/3GmJMhVeXw2e9M1l/+eHr7+y/7RrJ+4ZS8u7qP2DWYP5b/sXu/nNx2wRNPJeuoD0d+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiq4ji/mc2X9G1J75Y0LKnb3e8ys1skfU7S/mzVm919Q6MancjO+tf0OP+td69N1i+8Lj2W3ljpfT/6m1OT9a/dcENubcF/MI5fpmpO8hmU9CV3f9bMZkh6xswez2p3uvvtjWsPQKNUDL+775W0N3t+yMy2S5rX6MYANNa4vvOb2QJJ50vanC260cyeN7MeM5uVs02XmfWZWd8xHamrWQDFqTr8ZjZd0kOSvujuByWtlfQeSYs18sngq2Nt5+7d7t7p7p3tSs+9BqB5qgq/mbVrJPj3ufv3Jcnd97n7kLsPS7pb0tLGtQmgaBXDb2Ym6ZuStrv7HaOWzx212lWSXii+PQCNYu6eXsHsQ5KekLRNI0N9knSzpFUa+cjvknZJ+nz2x8FcM63DL7LL6mz55DN06ZJkff+a3yTrl87fkVu7eEZ+TZI2vfH7yfq/bbggWT/z9m3J+vChQ8k6irXZe3XQB6oaG67mr/1PauzBXsb0gQmMM/yAoAg/EBThB4Ii/EBQhB8IivADQVUc5y8S4/xAY41nnJ8jPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8E1dRxfjPbL+nlUYtmSzrQtAbGp1V7a9W+JHqrVZG9neHu76pmxaaG/207N+tz987SGkho1d5atS+J3mpVVm987AeCIvxAUGWHv7vk/ae0am+t2pdEb7UqpbdSv/MDKE/ZR34AJSkl/GZ2uZn9wsxeMrObyughj5ntMrNtZrbVzPpK7qXHzPrN7IVRyzrM7HEz25E9jjlNWkm93WJmr2Xv3VYz+1hJvc03s41mtt3MXjSzNdnyUt+7RF+lvG9N/9hvZm2SfilpuaTdkrZIWuXuP2tqIznMbJekTncvfUzYzP5Q0puSvu3ui7Jlfy9pwN1vy35xznL3v26R3m6R9GbZMzdnE8rMHT2ztKQrJV2vEt+7RF/XqIT3rYwj/1JJL7n7Tnc/KukBSStL6KPlufsmSQMnLF4paV32fJ1G/udpupzeWoK773X3Z7PnhyQdn1m61Pcu0Vcpygj/PEmvjnq9W6015bdLeszMnjGzrrKbGcNpx2dGyh7nlNzPiSrO3NxMJ8ws3TLvXS0zXhetjPCPdYuhVhpyuMTdl0j6qKQvZB9vUZ2qZm5uljFmlm4Jtc54XbQywr9b0vxRr0+XtKeEPsbk7nuyx35JD6v1Zh/ed3yS1Oyxv+R+/l8rzdw81szSaoH3rpVmvC4j/FskLTSzM81ssqTrJK0voY+3MbNp2R9iZGbTJK1Q680+vF7S6uz5akmPlNjLW7TKzM15M0ur5Peu1Wa8LuUkn2wo42uS2iT1uPutTW9iDGZ2lkaO9tLIJKbfLbM3M7tf0jKNXPW1T9JXJP1A0vck/Z6kVyRd7e5N/8NbTm/LNM6ZmxvUW97M0ptV4ntX5IzXhfTDGX5ATJzhBwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gqP8DF6c3S5bn2Q8AAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADf5JREFUeJzt3X+QXXV5x/HPk2XZSPgZdGMmJIbSWEEYQbcBi8PEZoBQmSboGE1bJ3WQ5Q9gdMofpfQP4jhadFTKjMLMChlCyw9tEcggU2ViLEVshg1lAhiVEBNYsmbBaIOdZtnNPv6xJ8wa9n7PzT3n3HM3z/s1w+y95znfex6v+dxzd7/33K+5uwDEM6vuBgDUg/ADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwjqmHYe7Fjr8dma085DAqEc0P/pDR+1ZvYtFH4zWyHpVkldku5w95tT+8/WHJ1vy4scEkDCFt/U9L4tv+03sy5J35R0maSzJK0xs7NafTwA7VXkd/6lkna4+053f0PS/ZJWltMWgKoVCf8CSS9PuT+UbfsDZtZvZoNmNjim0QKHA1CmIuGf7o8Kb7k+2N0H3L3P3fu61VPgcADKVCT8Q5IWTrl/mqQ9xdoB0C5Fwv+UpCVmdrqZHSvpk5I2ltMWgKq1PNXn7uNmdq2k72tyqm+9uz9fWmcAKlVont/dH5X0aEm9AGgjPt4LBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIVW6TWzXZJel3RQ0ri795XRFIDqFQp/5sPu/loJjwOgjXjbDwRVNPwu6QdmttXM+stoCEB7FH3bf6G77zGzXkmPmdnP3P3xqTtkLwr9kjRbxxU8HICyFDrzu/ue7OeIpAclLZ1mnwF373P3vm71FDkcgBK1HH4zm2NmJxy6LekSSc+V1RiAahV52z9P0oNmduhx7nX3/yilKwCVazn87r5T0vtK7AU1GP/zDyTrv7wi/U9k1qmjyfq/XnBnw9qf9lhy7G2/PT1Zv+WHK5L19/zj9oa1g/v3J8dGwFQfEBThB4Ii/EBQhB8IivADQRF+IChz97Yd7ESb6+fb8rYdL4r/X/mWD1a+6eS/eyk59oE//l6yPqGJZH1WzvkjNb7I2GbGL/2n6xrWer/xZHLsTLXFN2m/70vPoWY48wNBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUMzzd4Cuk09K1vfff2qy/p/n/HvD2oTS///OUnpKuMrxdR571QUrk2PHXx5K1jsV8/wAchF+ICjCDwRF+IGgCD8QFOEHgiL8QFBlrNKLgn72hfck69vP+UayPpF4Dc+7Jj7v9f+ibauT9QPfm5esH3f5rxrWfnTOvyXHFu09NX73Xy1Kjl3w5Zk5z38kOPMDQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFC58/xmtl7S5ZJG3P3sbNtcSd+WtFjSLkmr3f031bU5s/36yg8m6zs/dnuyPubp1+jUde3Lnv1EcuzxK3Ym6yfqxUL1D1yZ+t7+vMvOW//f3cz46Jp5du6SdPhC6DdI2uTuSyRtyu4DmEFyw+/uj0vad9jmlZI2ZLc3SFpVcl8AKtbq+6J57j4sSdnP3vJaAtAOlX+238z6JfVL0mwdV/XhADSp1TP/XjObL0nZz5FGO7r7gLv3uXtft3paPByAsrUa/o2S1ma310p6uJx2ALRLbvjN7D5JP5H0J2Y2ZGZXSrpZ0sVm9oKki7P7AGaQ3N/53X1NgxJfwN+kS679cbI+5geT9bzr2lNz+Setfi05Nn3kauV9L3+V1/O/657dybHjOUc+GvApCCAowg8ERfiBoAg/EBThB4Ii/EBQfHV3Byh6aWpq9GjfkiPuZ6pfXpH+J3L98keT9f6TdjWsVX1J72V/c3XDWtfQ0znHPvpx5geCIvxAUIQfCIrwA0ERfiAowg8ERfiBoJjn7wBFL23dnFjqeuJf0mNnFbgstvj4YsfO+1ryk7buaFir81LmTsGZHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCYp6/DR7Z/d5k/Qu9z+Q8QpHr2qtd5rrI+LyxW0fTx85bXpy5/DTO/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QVO48v5mtl3S5pBF3Pzvbtk7SVZJezXa70d3TX+Ae2PxV25P1Sz/8mWT91++dnayf+vyBI+6p2cf+73+4NecRqrue/9MbrkvWF+nJZB1pzZz575K0Yprtt7j7udl/BB+YYXLD7+6PS9rXhl4AtFGR3/mvNbNtZrbezE4prSMAbdFq+G+XdIakcyUNS/paox3NrN/MBs1scEyjLR4OQNlaCr+773X3g+4+IelbkpYm9h1w9z537+tWT6t9AihZS+E3s/lT7l4h6bly2gHQLs1M9d0naZmkt5vZkKSbJC0zs3MluaRdkhqvhQygI+WG393XTLP5zgp6Catrc3qt+N7N1R37fz96frKe9738Ra7n/9iOjyRHLvo88/hV4hN+QFCEHwiK8ANBEX4gKMIPBEX4gaD46u7gfv7R25L1vGWyi1zSe/Cvu3IeG1XizA8ERfiBoAg/EBThB4Ii/EBQhB8IivADQTHPf5QbfujMZH2W0pcTF12i+8wf9TesnTH0PznHRpU48wNBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUMzzHw2WntOw9Mj7b08OndDbcurp6/m3jqbPH4vvyPtqb9SFMz8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBJU7z29mCyXdLemdkiYkDbj7rWY2V9K3JS2WtEvSanf/TXWtopHdHzmhYW1+V3oev8gS25K05odXJ+vv3jyY8/ioSzNn/nFJ17v7mZIukHSNmZ0l6QZJm9x9iaRN2X0AM0Ru+N192N2fzm6/Lmm7pAWSVkrakO22QdKqqpoEUL4j+p3fzBZLOk/SFknz3H1YmnyBkNRbdnMAqtN0+M3seEkPSPqcu+8/gnH9ZjZoZoNjGm2lRwAVaCr8ZtatyeDf4+7fzTbvNbP5WX2+pJHpxrr7gLv3uXtft3rK6BlACXLDb2Ym6U5J293961NKGyWtzW6vlfRw+e0BqEozl/ReKOlTkp41s2eybTdKulnSd8zsSkkvSfp4NS0iz4WXbmtYq3KJbUk6a91wsj6ec3TUJzf87v6E1HAyeHm57QBoFz7hBwRF+IGgCD8QFOEHgiL8QFCEHwiKr+6eAV654c+S9e8vuq1hbczTr+/d1pWsn/el65L13qEnk3V0Ls78QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxAU8/wd4JiFpyXrf/mJJ5L1MT/YsJZ3Pf6YJ8s69fkD6R0wY3HmB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgmOfvAAfePS9Z/3xvej2U1DX5efP4N42cl6z3vLA3Wed7+WcuzvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EFTuPL+ZLZR0t6R3SpqQNODut5rZOklXSXo12/VGd3+0qkaPZj1PvZCsf/O3ZyTr15z8YsPaRdtWJ8fOvSp9vf740CvJOmauZj7kMy7pend/2sxOkLTVzB7Lare4+1eraw9AVXLD7+7Dkoaz26+b2XZJC6puDEC1juh3fjNbLOk8SVuyTdea2TYzW29mpzQY029mg2Y2OKbRQs0CKE/T4Tez4yU9IOlz7r5f0u2SzpB0ribfGXxtunHuPuDufe7e162eEloGUIamwm9m3ZoM/j3u/l1Jcve97n7Q3SckfUvS0uraBFC23PCbmUm6U9J2d//6lO3zp+x2haTnym8PQFXMPX3Np5l9SNJ/SXpWevN7oG+UtEaTb/ld0i5JV2d/HGzoRJvr59vygi0DaGSLb9J+32fN7NvMX/ufkDTdgzGnD8xgfMIPCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QVO71/KUezOxVSbunbHq7pNfa1sCR6dTeOrUvid5aVWZv73L3dzSzY1vD/5aDmw26e19tDSR0am+d2pdEb62qqzfe9gNBEX4gqLrDP1Dz8VM6tbdO7Uuit1bV0lutv/MDqE/dZ34ANakl/Ga2wsx+bmY7zOyGOnpoxMx2mdmzZvaMmQ3W3Mt6Mxsxs+embJtrZo+Z2QvZz2mXSaupt3Vm9kr23D1jZn9RU28LzWyzmW03s+fN7LPZ9lqfu0RftTxvbX/bb2Zdkn4h6WJJQ5KekrTG3X/a1kYaMLNdkvrcvfY5YTO7SNLvJN3t7mdn274iaZ+735y9cJ7i7n/fIb2tk/S7ulduzhaUmT91ZWlJqyT9rWp87hJ9rVYNz1sdZ/6lkna4+053f0PS/ZJW1tBHx3P3xyXtO2zzSkkbstsbNPmPp+0a9NYR3H3Y3Z/Obr8u6dDK0rU+d4m+alFH+BdIennK/SF11pLfLukHZrbVzPrrbmYa8w6tjJT97K25n8PlrtzcToetLN0xz10rK16XrY7wT7f6TydNOVzo7u+XdJmka7K3t2hOUys3t8s0K0t3hFZXvC5bHeEfkrRwyv3TJO2poY9pufue7OeIpAfVeasP7z20SGr2c6Tmft7USSs3T7eytDrgueukFa/rCP9TkpaY2elmdqykT0raWEMfb2Fmc7I/xMjM5ki6RJ23+vBGSWuz22slPVxjL3+gU1ZubrSytGp+7jptxetaPuSTTWX8s6QuSevd/Yttb2IaZvZHmjzbS5OLmN5bZ29mdp+kZZq86muvpJskPSTpO5IWSXpJ0sfdve1/eGvQ2zId4crNFfXWaGXpLarxuStzxetS+uETfkBMfMIPCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQvwdrRAjyNSBKrgAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADjxJREFUeJzt3X+M3HWdx/HXm3W7hVIuhdJaS6GUFM9CpPTm2iqE9EIg4HFXSBRpoqmeueUMVUyIkWAiBKNWUYF4gq6yUi7lV45fjWkUbmMEEaELR2yxClhXLC27hYoUlNLdffvHfmvWsvOZ2ZnvfL/Tvp+PZLMz3/f3O993Jvva78x8vvP9mLsLQDyHld0AgHIQfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQb2jyJ1NsS6fqmlF7hII5U29obd8r9WzblPhN7PzJN0oqUPS9919bWr9qZqmZXZ2M7sEkPC499W9bsMv+82sQ9K3JZ0vaZGkVWa2qNHHA1CsZt7zL5X0vLtvc/e3JN0paWU+bQFotWbCP1fSH8bd354t+ztm1m1m/WbWv097m9gdgDw1E/6JPlR42/eD3b3H3SvuXulUVxO7A5CnZsK/XdK8cfePk7SjuXYAFKWZ8G+StNDMTjSzKZIukbQhn7YAtFrDQ33uPmxmayT9WGNDfb3u/kxunQFoqabG+d19o6SNOfUCoECc3gsERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIVO0Y0WWf7eqqXffvCI5KaHn/Rasr552e0NtVSPR98cTda7v78mWT/uyz/Ps51wOPIDQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFBNjfOb2YCkPZJGJA27eyWPpqIZPXNxsv7F225J1t875YmqtS5r7lSOEW9q86TlXen605d9K1lf+uqnkvVZN3EeQEoeJ/n8i7u/nMPjACgQL/uBoJoNv0t60MyeNLPuPBoCUIxmX/af4e47zGyWpIfM7Nfu/vD4FbJ/Ct2SNFXp88wBFKepI7+778h+D0m6T9LSCdbpcfeKu1c6VeMTHgCFaTj8ZjbNzKbvvy3pXElb8moMQGs187J/tqT7zGz/49zu7j/KpSsALddw+N19m6TTcuzlkLXjs+9P1n/y6euS9RmHHV5jD627LMOP/pL+nGbNTz/S8GNPP+aNZP3//3l9sv6n5W8m67NumnRLoTDUBwRF+IGgCD8QFOEHgiL8QFCEHwiKS3cXYGRZ+vLYtYfy0tbvmVW1tnb9xcltT+wdSNZ9795k/eSX+5P1lI6FC5L1O394bLL+5WX3Jes/0AmT7ikSjvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EBTj/AUYfnZ6eoX3pcupcXxJ+uq66mP5876Svnz1cHrXLTXy3LZk/Ss/+HCy/sSaG5L1r33ykqq1Y29+LLltBBz5gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAoxvkL0LnHmtr+fy79t2T9uJ8emlNRH3nWULJea/rx4cObe94PdRz5gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiComuP8ZtYr6QJJQ+5+arbsaEl3SZovaUDSxe7+x9a1eXA7off5ZL3ypzXJ+ru2vZCsl/mdfBy86jny3yrpvAOWXSmpz90XSurL7gM4iNQMv7s/LGn3AYtXSlqX3V4n6cKc+wLQYo2+55/t7jslKfudvs4UgLbT8nP7zaxbUrckTdURrd4dgDo1euQfNLM5kpT9rvoNDHfvcfeKu1c61dXg7gDkrdHwb5C0Oru9WtID+bQDoCg1w29md0h6TNK7zWy7mX1C0lpJ55jZc5LOye4DOIjUfM/v7quqlM7OuZdD1shg+nvps25K1xnHRytwhh8QFOEHgiL8QFCEHwiK8ANBEX4gKC7djdLY6ack6z2LbknWh0bSg6BHvjg66Z4i4cgPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0Exzo+W6ph5TNXa4LX7ktue0jklWb/njdnJ+vS7fpGsR8eRHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCYpwfLTV04clVa08s+XZ625E/J+vX9qanNp+rnyfr0XHkB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgao7zm1mvpAskDbn7qdmyayT9p6Rd2WpXufvGVjWJ9rXnw8uT9e9+/sZENf3nd9btn03WF6xlHL8Z9Rz5b5V03gTLr3f3xdkPwQcOMjXD7+4PS9pdQC8ACtTMe/41ZvZLM+s1sxm5dQSgEI2G/2ZJJ0laLGmnpG9UW9HMus2s38z692lvg7sDkLeGwu/ug+4+4u6jkr4naWli3R53r7h7pVNdjfYJIGcNhd/M5oy7e5GkLfm0A6Ao9Qz13SFphaSZZrZd0tWSVpjZYkkuaUDSpS3sEUAL1Ay/u6+aYHF64nQcNOz0U5L1VxYflax/5wupcXxp8ZTqf2KvjP4lue2spzxZR3M4ww8IivADQRF+ICjCDwRF+IGgCD8QFJfubgMds2cl6y9ddFKyPuXfdyXrKT2L0qO2tabJbuZP6P7XFybr/9D3bLI+0vCeIXHkB8Ii/EBQhB8IivADQRF+ICjCDwRF+IGgGOcvQMfMY5L1I/53NFnftCA9lXVzao3jt84njtqerG/aeGKy3vfrJcn6u69LT/GdYoOvJOsjuxo/t6JdcOQHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaDMvbjLIx9lR/syO7uw/RWlY0Z6qsKjfmjJ+vr5/5dnO7l68q30t+ZfHTkiWV/S9WrV2ozDDm+opzwM17gaQOX6y5P1d329PacHf9z79JrvTv/BZTjyA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQNb/Pb2bzJN0m6Z2SRiX1uPuNZna0pLskzZc0IOlid/9j61ptX7+7/D3J+pb5/11QJ5P3rVcXJOsPXXBasj78u98n6y9+7v1Va+v+64bktlMtPRb/j51dyXrKaY/+R7J+QpuO4+epniP/sKQr3P09kpZLuszMFkm6UlKfuy+U1JfdB3CQqBl+d9/p7k9lt/dI2ipprqSVktZlq62TdGGrmgSQv0m95zez+ZJOl/S4pNnuvlMa+wchKT3nFIC2Unf4zexISfdI+oy7vzaJ7brNrN/M+vdpbyM9AmiBusJvZp0aC/56d783WzxoZnOy+hxJQxNt6+497l5x90qnGv+ABkC+aobfzEzSLZK2uvs3x5U2SFqd3V4t6YH82wPQKjW/0mtmZ0p6RNJmjQ31SdJVGnvff7ek4yW9IOlD7r479ViH6ld6pz8yM1m/a8GDLd3/iyPVL1G9YsMVyW1n9qf//8+49bGGesrDO945O1nf1p2eujxlXl/6st726NMNP3aZJvOV3prj/O7+M0nVHuzQSzIQBGf4AUERfiAowg8ERfiBoAg/EBThB4Jiiu4cXHf8/TXWSF/eupYrB/8pWf/Vv1YfD1+48/Gm9l2m4ZcGk/Xjr03XkcaRHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCYpw/Bx//zUeS9b5T7k3Wr96Vvjz2M+cfm6yPDL6UrAMT4cgPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0Exzp+DrnMHkvUPaEmTe5hwMiSgKRz5gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiComuE3s3lm9hMz22pmz5jZ5dnya8zsRTN7Ovv5QOvbBZCXek7yGZZ0hbs/ZWbTJT1pZg9ltevd/eutaw9Aq9QMv7vvlLQzu73HzLZKmtvqxgC01qTe85vZfEmnS9o/B9QaM/ulmfWa2Ywq23SbWb+Z9e/T3qaaBZCfusNvZkdKukfSZ9z9NUk3SzpJ0mKNvTL4xkTbuXuPu1fcvdKprhxaBpCHusJvZp0aC/56d79Xktx90N1H3H1U0vckLW1dmwDyVs+n/SbpFklb3f2b45bPGbfaRZK25N8egFap59P+MyR9VNJmM3s6W3aVpFVmtliSSxqQdGlLOgTQEvV82v8zSTZBaWP+7QAoCmf4AUERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgjJ3L25nZrsk/X7copmSXi6sgclp197atS+J3hqVZ28nuPux9axYaPjftnOzfnevlNZAQrv21q59SfTWqLJ642U/EBThB4IqO/w9Je8/pV17a9e+JHprVCm9lfqeH0B5yj7yAyhJKeE3s/PM7Ddm9ryZXVlGD9WY2YCZbc5mHu4vuZdeMxsysy3jlh1tZg+Z2XPZ7wmnSSupt7aYuTkxs3Spz127zXhd+Mt+M+uQ9KykcyRtl7RJ0ip3/1WhjVRhZgOSKu5e+piwmZ0l6XVJt7n7qdmyr0na7e5rs3+cM9z9c23S2zWSXi975uZsQpk542eWlnShpI+pxOcu0dfFKuF5K+PIv1TS8+6+zd3fknSnpJUl9NH23P1hSbsPWLxS0rrs9jqN/fEUrkpvbcHdd7r7U9ntPZL2zyxd6nOX6KsUZYR/rqQ/jLu/Xe015bdLetDMnjSz7rKbmcDsbNr0/dOnzyq5nwPVnLm5SAfMLN02z10jM17nrYzwTzT7TzsNOZzh7ksknS/psuzlLepT18zNRZlgZum20OiM13krI/zbJc0bd/84STtK6GNC7r4j+z0k6T613+zDg/snSc1+D5Xcz9+008zNE80srTZ47tppxusywr9J0kIzO9HMpki6RNKGEvp4GzObln0QIzObJulctd/swxskrc5ur5b0QIm9/J12mbm52szSKvm5a7cZr0s5yScbyrhBUoekXnf/UuFNTMDMFmjsaC+NTWJ6e5m9mdkdklZo7Ftfg5KulnS/pLslHS/pBUkfcvfCP3ir0tsKjb10/dvMzfvfYxfc25mSHpG0WdJotvgqjb2/Lu25S/S1SiU8b5zhBwTFGX5AUIQfCIrwA0ERfiAowg8ERfiBoAg/EBThB4L6K75K8Dj2eLFRAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADdlJREFUeJzt3X+wXHV5x/HPh5gfmkhNShNSSCVEUkGmIt4BHKxFMqGAOsGhYWRsDdYhtIrFjtORMtMhf8DAWAGpAtMAGcKUnw5Q4pgWmbQKFJpyoRkIRiRixDQhQYOGIOTn0z/uSXsNd793s7/OJs/7NZPZ3fOcs+eZzf3cc/Z+z+7XESEA+RxSdwMA6kH4gaQIP5AU4QeSIvxAUoQfSIrwA0kRfiApwg8k9bZe7mycx8cETezlLoFU3tTr2hHb3cy6bYXf9pmSrpc0RtItEXF1af0JmqiTPaedXQIoWBkrml635dN+22Mk3SDpLEnHSTrf9nGtPh+A3mrnPf9JktZGxIsRsUPS3ZLmdaYtAN3WTviPkPSzYY/XV8t+g+2FtgdtD+7U9jZ2B6CT2gn/SH9UeMvngyNicUQMRMTAWI1vY3cAOqmd8K+XNGPY4yMlbWivHQC90k74n5R0jO2ZtsdJ+pSkZZ1pC0C3tTzUFxG7bF8s6SENDfUtiYjnOtYZgK5qa5w/IpZLWt6hXgD0EJf3AkkRfiApwg8kRfiBpAg/kBThB5Ii/EBShB9IivADSRF+ICnCDyRF+IGkCD+QFOEHkiL8QFKEH0iK8ANJEX4gKcIPJEX4gaQIP5AU4QeSIvxAUoQfSIrwA0kRfiApwg8kRfiBpAg/kFRbs/TaXifpNUm7Je2KiIFONAWg+9oKf+WjEfHzDjwPgB7itB9Iqt3wh6Tv2n7K9sJONASgN9o97T81IjbYnirpYds/jIhHhq9Q/VJYKEkT9I42dwegU9o68kfEhup2s6QHJJ00wjqLI2IgIgbGanw7uwPQQS2H3/ZE2+/ce1/SGZJWd6oxAN3Vzmn/NEkP2N77PHdGxL92pCsAXddy+CPiRUnv72AvaNXQL+AR/eLPTyluuvTvri3W3zfu7S21tNfs7y9oWJv56VFOFPfsbmvfKGOoD0iK8ANJEX4gKcIPJEX4gaQIP5BUJz7Vh24rDOVJ0rorGg/n/eCCG4rbfu/NScX6/BsuKtZ94q+K9Wc/ckvD2olfuaS47ZFXPV6soz0c+YGkCD+QFOEHkiL8QFKEH0iK8ANJEX4gKcb5DwA7536wWC+N5d+29XeL29594ZnF+ozH2htr/+x/nNGw9v3P/31x28/cdHaxvvuX5WsMUMaRH0iK8ANJEX4gKcIPJEX4gaQIP5AU4QeSYpz/ADDhbzcU65t3/7ph7b4/+aPitoc8t6qlnpr14398b8Pa5KtWFLfdc3/5uwZ0OuP87eDIDyRF+IGkCD+QFOEHkiL8QFKEH0iK8ANJjTrOb3uJpI9L2hwRx1fLpki6R9JRktZJOi8iXu1emwe3X1z4oWL9idnfLNaP+6e/aVg7+rknWuqpWWOmTS3WP/jF/275uRcdtaxYv1zl7zlAWTNH/tsk7fuND5dKWhERx0haUT0GcAAZNfwR8YikLfssnidpaXV/qaRzOtwXgC5r9T3/tIjYKEnVbfncD0Df6fq1/bYXSlooSRP0jm7vDkCTWj3yb7I9XZKq282NVoyIxRExEBEDYzW+xd0B6LRWw79M0oLq/gJJD3amHQC9Mmr4bd8l6QlJv297ve3PSbpa0lzbL0iaWz0GcAAZ9T1/RJzfoDSnw72k9auPvtHW9kf+284OdfJWHji+WL/gzm8X6+dO5PKPfsUVfkBShB9IivADSRF+ICnCDyRF+IGk+OruPnDbKUuK9WWvTy7Wxz002LA25renFLd9/uvvLu/7D28s1l/eXf567Q8/M79h7bE/+FZxW3QXR34gKcIPJEX4gaQIP5AU4QeSIvxAUoQfSIpx/j4w1ruL9f/cNqtYX3vdyQ1r957zD8VtTxhX/hH4xI/OLdbji4cW699afkvD2tY95WPPzZvPKNalbaPUUcKRH0iK8ANJEX4gKcIPJEX4gaQIP5AU4QeSYpy/D7y867eK9aunPVWun9e4/tKuHcVt33vHJcX6MVc8V6w/f9WMYn36mMZTtJ34tYuL2x5+3ePFOtrDkR9IivADSRF+ICnCDyRF+IGkCD+QFOEHkhp1nN/2Ekkfl7Q5Io6vli2SdKGkV6rVLouI5d1q8mD319/5TLH+07n/Uqxfv+r0hrXZV5Q/8370mieK9fI3DUjf+OOlo6zR2PRvNp5vQJKi5WdGM5o58t8m6cwRll8XESdU/wg+cIAZNfwR8YikLT3oBUAPtfOe/2Lbz9heYrs8nxSAvtNq+G+SNEvSCZI2Srqm0Yq2F9oetD24U9tb3B2ATmsp/BGxKSJ2R8QeSTdLOqmw7uKIGIiIgbEa32qfADqspfDbnj7s4Sclre5MOwB6pZmhvrsknSbpMNvrJV0u6TTbJ2hoNGadpIu62COALnBE70ZTD/WUONlzerY/tO+NeQ3f0UmSvn3D9cX62as/3bA26ayflHfew5/Ng8XKWKGtscXNrMsVfkBShB9IivADSRF+ICnCDyRF+IGk+OpuFL39rzYU65NcvmrzXZ/f07C2i6G8WnHkB5Ii/EBShB9IivADSRF+ICnCDyRF+IGkGOdPbsx7Zhbr18y6o1i/8ZfHFut7Nry83z2hNzjyA0kRfiApwg8kRfiBpAg/kBThB5Ii/EBSjPMnt+2Gcn322AnF+rl3fqxYn/Hm4/vbEnqEIz+QFOEHkiL8QFKEH0iK8ANJEX4gKcIPJDXqOL/tGZJul3S4pD2SFkfE9banSLpH0lGS1kk6LyJe7V6raIXfVv4vnnP488X6k9vL360/89YfF+u7ilXUqZkj/y5JX46IYyWdIukLto+TdKmkFRFxjKQV1WMAB4hRwx8RGyPi6er+a5LWSDpC0jxJS6vVlko6p1tNAui8/XrPb/soSR+QtFLStIjYKA39gpA0tdPNAeiepsNve5Kk+yR9KSK27sd2C20P2h7cqe2t9AigC5oKv+2xGgr+HRFxf7V4k+3pVX26pM0jbRsRiyNiICIGxqo8qSOA3hk1/LYt6VZJayLi2mGlZZIWVPcXSHqw8+0B6JZmPtJ7qqQ/k/Ss7VXVssskXS3pXtufk/SSpPndaRHteOGrA8X6dw67sVg/9tHPFuszX35mv3tCfxg1/BHxmCQ3KM/pbDsAeoUr/ICkCD+QFOEHkiL8QFKEH0iK8ANJ8dXdB4FDJk5sWLvyY/cUt311zxvF+qwrdhTre4pV9DOO/EBShB9IivADSRF+ICnCDyRF+IGkCD+QFOP8B4Ffn/6+hrX5kx4tbvuhVRcU65NX/7CVlnAA4MgPJEX4gaQIP5AU4QeSIvxAUoQfSIrwA0kxzn8Q2P6XW1re9rpjy5/3v/I95xbru9f+pOV9o14c+YGkCD+QFOEHkiL8QFKEH0iK8ANJEX4gqVHH+W3PkHS7pMM19DXtiyPietuLJF0o6ZVq1csiYnm3GkVjr39vauPi+8vb/ulDf1Gsz177Xy10hANBMxf57JL05Yh42vY7JT1l++Gqdl1EfK177QHollHDHxEbJW2s7r9me42kI7rdGIDu2q/3/LaPkvQBSSurRRfbfsb2EtuTG2yz0Pag7cGd2t5WswA6p+nw254k6T5JX4qIrZJukjRL0gkaOjO4ZqTtImJxRAxExMBYje9AywA6oanw2x6roeDfERH3S1JEbIqI3RGxR9LNkk7qXpsAOm3U8Nu2pFslrYmIa4ctnz5stU9KWt359gB0iyOivIL9YUmPSnpW/z8j82WSztfQKX9IWifpouqPgw0d6ilxsue02TKARlbGCm2NLW5m3Wb+2v+YpJGejDF94ADGFX5AUoQfSIrwA0kRfiApwg8kRfiBpAg/kBThB5Ii/EBShB9IivADSRF+ICnCDyRF+IGkRv08f0d3Zr8i6afDFh0m6ec9a2D/9Gtv/dqXRG+t6mRv746I32lmxZ6G/y07twcjYqC2Bgr6tbd+7Uuit1bV1Run/UBShB9Iqu7wL655/yX92lu/9iXRW6tq6a3W9/wA6lP3kR9ATWoJv+0zbT9ve63tS+vooRHb62w/a3uV7cGae1lie7Pt1cOWTbH9sO0XqtsRp0mrqbdFtv+neu1W2T67pt5m2P5322tsP2f7kmp5ra9doa9aXreen/bbHiPpR5LmSlov6UlJ50fED3raSAO210kaiIjax4Rtf0TSNkm3R8Tx1bKvStoSEVdXvzgnR8RX+qS3RZK21T1zczWhzPThM0tLOkfSBarxtSv0dZ5qeN3qOPKfJGltRLwYETsk3S1pXg199L2IeETSln0Wz5O0tLq/VEM/PD3XoLe+EBEbI+Lp6v5rkvbOLF3ra1foqxZ1hP8IST8b9ni9+mvK75D0XdtP2V5YdzMjmLZ3ZqTqdmrN/exr1Jmbe2mfmaX75rVrZcbrTqsj/CPN/tNPQw6nRsSJks6S9IXq9BbNaWrm5l4ZYWbpvtDqjNedVkf410uaMezxkZI21NDHiCJiQ3W7WdID6r/ZhzftnSS1ut1ccz//p59mbh5pZmn1wWvXTzNe1xH+JyUdY3um7XGSPiVpWQ19vIXtidUfYmR7oqQz1H+zDy+TtKC6v0DSgzX28hv6ZebmRjNLq+bXrt9mvK7lIp9qKOPrksZIWhIRV/a8iRHYPlpDR3tpaBLTO+vszfZdkk7T0Ke+Nkm6XNI/S7pX0u9JeknS/Ijo+R/eGvR2mvZz5uYu9dZoZumVqvG16+SM1x3phyv8gJy4wg9IivADSRF+ICnCDyRF+IGkCD+QFOEHkiL8QFL/CzTy3Om+B77zAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADipJREFUeJzt3X+QVfV5x/HPw2aBCqYFDEiVdo0FW0oNtiuG0GlsDI7RtJCZxoZJUzpNsmkrbU3tTBlm0jjjdMJkqtZOqjNrZIIziT8mQWUcWxUmxpgmhsUygCVWaglBVkBJI2pcZffpH3tIV9zzvZd7z4+7PO/XDLP3nuecex6v+9lz7/2ec7/m7gIQz6S6GwBQD8IPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiCod1S5s8k2xadqWpW7BEJ5Xa/qDR+yZtZtK/xmdoWkWyR1Sfqyu69PrT9V03SJXdbOLgEkPOlbm1635Zf9ZtYl6V8kfUjSQkmrzGxhq48HoFrtvOdfImmvuz/n7m9IulvSimLaAlC2dsJ/jqQfjbl/IFv2FmbWZ2YDZjbwpoba2B2AIrUT/vE+VHjb9cHu3u/uve7e260pbewOQJHaCf8BSfPG3D9X0sH22gFQlXbCv03SfDM7z8wmS/qYpM3FtAWgbC0P9bn7cTNbI+lhjQ71bXD3pwvrDECp2hrnd/eHJD1UUC8AKsTpvUBQhB8IivADQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IivADQRF+ICjCDwTV1iy9ZrZP0jFJw5KOu3tvEU3h1AxddXFu7ZVfTP8vnnX7d9va93Prlybrn7pqS27tsfedndx25NixlnpCc9oKf+Z33f3FAh4HQIV42Q8E1W74XdIjZrbdzPqKaAhANdp92b/M3Q+a2WxJj5rZD9z98bErZH8U+iRpqs5oc3cAitLWkd/dD2Y/D0u6T9KScdbpd/ded+/t1pR2dgegQC2H38ymmdmZJ25LulzS7qIaA1Cudl72z5F0n5mdeJyvufu/FdIVgNK1HH53f07SewrsBTkmTZuWrF98w0Bu7evfyz8HQJJmtdTR//vAB3Yk638785nc2jcvuCT94AO8kCwTQ31AUIQfCIrwA0ERfiAowg8ERfiBoIq4qg8le/7P0iOqD875Um7t60oP9bVry3cajPZe/Z1S94/WceQHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaAY558AXr3op8n64PBrubXJL3UV3c5bTDvQ+vHj2Y9PT9Z/Jf9KZRSAIz8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBMU4/wTwwQU/SNZveGF5bq3nc+1NwV2ma5Y/kqw/rHdW1ElMHPmBoAg/EBThB4Ii/EBQhB8IivADQRF+IKiG4/xmtkHShyUddvdF2bKZku6R1CNpn6Sr3f3H5bV5envHu3uS9Y+fdX+yfvdL7y2wm1Pjlq53Wf7x5Y9+fldy2399/5pkfdK3/iO9cyQ1c+T/iqQrTlq2VtJWd58vaWt2H8AE0jD87v64pKMnLV4haWN2e6OklQX3BaBkrb7nn+Pug5KU/ZxdXEsAqlD6uf1m1iepT5Km6oyydwegSa0e+Q+Z2VxJyn4ezlvR3fvdvdfde7s1pcXdAShaq+HfLGl1dnu1pAeKaQdAVRqG38zukvRdSReY2QEz+6Sk9ZKWm9mzkpZn9wFMIA3f87v7qpzSZQX3EtbwrDOT9aVThpP1+XO25Nb+dNGnktuO7E5/V0Aj5un6sI/k1mZMmprc9ic96fqMb6X3jTTO8AOCIvxAUIQfCIrwA0ERfiAowg8ExVd3d4D9l6eH+ho5ODw5t2ZDb7T12F2zZibrxxYNtfX4Ke/7q23J+oOLlibrF9z0P7m144MvtNTT6YQjPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8EZe4Nrsks0Dttpl9iXAl8ss/u3ZOsX/ZzryXri7/0l7m1c7/w78lth668OFk/7+/Tl/z2z3ssWZ+k/O/2HlG5v3trX8j/b9u0rTe57S/sTJ8CM/vW9PNalyd9q172ow2+UH0UR34gKMIPBEX4gaAIPxAU4QeCIvxAUIQfCIrr+TvAzK5XGqyR/hs94/3516bvnZ2evvvelf+crF84uStZ72Trz87/PoAv/t5ActuXr3o9WV+5/9pkfeqD30/WOwFHfiAowg8ERfiBoAg/EBThB4Ii/EBQhB8IquE4v5ltkPRhSYfdfVG27HpJn5Z0JFttnbs/VFaTp7uuBte1p66Jl6QnLtyUWxv+jfwpskelfwUee707Wf/srZ9J1nded2t+MTF9tyQtXXdNsj79+fScBC++Z0r+rhtc8d5o6vFz//tIsp6eVL0zNHPk/4qkK8ZZfrO7L87+EXxggmkYfnd/XNLRCnoBUKF23vOvMbOdZrbBzGYU1hGASrQa/tsknS9psaRBSTfmrWhmfWY2YGYDb6q8ed0AnJqWwu/uh9x92N1HJN0uaUli3X5373X33m7lfwADoFothd/M5o65+xFJu4tpB0BVmhnqu0vSpZLOMrMDkj4v6VIzWyzJJe2TlB7vAdBxGobf3VeNs/iOEno5bU0644y2tm/4/faJ8fIhP57cdNn2P07WX9uZ/iy358b099cP/01+b+1+b3/3lu3J+twtbT180kQYx2+EM/yAoAg/EBThB4Ii/EBQhB8IivADQfHV3RX44XWLk/ULJ3+7tH3/+uY1yfqCv+j8r5hGOTjyA0ERfiAowg8ERfiBoAg/EBThB4Ii/EBQjPNXwBb/pNTHX7rjD3NrC2/Yn9w2fcEvTmcc+YGgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMb5K9Cz5qVkfe2DFyfrmwZ+K1lf+IVDubXjgy8kt0VcHPmBoAg/EBThB4Ii/EBQhB8IivADQRF+IKiG4/xmNk/SnZLOljQiqd/dbzGzmZLukdQjaZ+kq939x+W1OnE1GmvfnR7G1wJtSz/+qTZUofn3/3lu7dmVt1XYCU7WzJH/uKTr3P3XJL1X0jVmtlDSWklb3X2+pK3ZfQATRMPwu/uguz+V3T4maY+kcyStkLQxW22jpJVlNQmgeKf0nt/MeiRdJOlJSXPcfVAa/QMhaXbRzQEoT9PhN7Ppkr4h6Vp3f/kUtuszswEzG3hTQ630CKAETYXfzLo1GvyvuvumbPEhM5ub1edKOjzetu7e7+697t7brSlF9AygAA3Db2Ym6Q5Je9z9pjGlzZJWZ7dXS3qg+PYAlKWZS3qXSfqEpF1mtiNbtk7Sekn3mtknJe2X9NFyWsRE9qu3/m9ubceV6UHKV38//e5yxsZkGQ00DL+7PyHJcsqXFdsOgKpwhh8QFOEHgiL8QFCEHwiK8ANBEX4gKL66G6UafvqZ3Nr3fnp+cttZ018ruh2MwZEfCIrwA0ERfiAowg8ERfiBoAg/EBThB4JinB8d6+YF9yTrn3vXVcn68JEjRbZz2uHIDwRF+IGgCD8QFOEHgiL8QFCEHwiK8ANBMc6PjvUHD69J1hcc+X5FnZyeOPIDQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFANx/nNbJ6kOyWdLWlEUr+732Jm10v6tKQTF02vc/eHymoUp5/NC2cl6wvEOH6ZmjnJ57ik69z9KTM7U9J2M3s0q93s7v9YXnsAytIw/O4+KGkwu33MzPZIOqfsxgCU65Te85tZj6SLJD2ZLVpjZjvNbIOZzcjZps/MBsxs4E0NtdUsgOI0HX4zmy7pG5KudfeXJd0m6XxJizX6yuDG8bZz935373X33m5NKaBlAEVoKvxm1q3R4H/V3TdJkrsfcvdhdx+RdLukJeW1CaBoDcNvZibpDkl73P2mMcvnjlntI5J2F98egLI082n/MkmfkLTLzHZky9ZJWmVmiyW5pH2SPlNKhwBK0cyn/U9IsnFKjOkDExhn+AFBEX4gKMIPBEX4gaAIPxAU4QeCIvxAUIQfCIrwA0ERfiAowg8ERfiBoAg/EBThB4Iyd69uZ2ZHJP1wzKKzJL1YWQOnplN769S+JHprVZG9/bK7v6uZFSsN/9t2bjbg7r21NZDQqb11al8SvbWqrt542Q8ERfiBoOoOf3/N+0/p1N46tS+J3lpVS2+1vucHUJ+6j/wAalJL+M3sCjN7xsz2mtnaOnrIY2b7zGyXme0ws4Gae9lgZofNbPeYZTPN7FEzezb7Oe40aTX1dr2ZPZ89dzvM7MqaeptnZt80sz1m9rSZ/XW2vNbnLtFXLc9b5S/7zaxL0n9JWi7pgKRtkla5+39W2kgOM9snqdfdax8TNrPfkfSKpDvdfVG27IuSjrr7+uwP5wx3/7sO6e16Sa/UPXNzNqHM3LEzS0taKelPVONzl+jratXwvNVx5F8iaa+7P+fub0i6W9KKGvroeO7+uKSjJy1eIWljdnujRn95KpfTW0dw90F3fyq7fUzSiZmla33uEn3Voo7wnyPpR2PuH1BnTfntkh4xs+1m1ld3M+OYk02bfmL69Nk193OyhjM3V+mkmaU75rlrZcbrotUR/vFm/+mkIYdl7v6bkj4k6Zrs5S2a09TMzVUZZ2bpjtDqjNdFqyP8ByTNG3P/XEkHa+hjXO5+MPt5WNJ96rzZhw+dmCQ1+3m45n5+ppNmbh5vZml1wHPXSTNe1xH+bZLmm9l5ZjZZ0sckba6hj7cxs2nZBzEys2mSLlfnzT68WdLq7PZqSQ/U2MtbdMrMzXkzS6vm567TZryu5SSfbCjjnyR1Sdrg7v9QeRPjMLN3a/RoL41OYvq1Onszs7skXarRq74OSfq8pPsl3SvplyTtl/RRd6/8g7ec3i7V6EvXn83cfOI9dsW9/bakb0vaJWkkW7xOo++va3vuEn2tUg3PG2f4AUFxhh8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBEX4gaD+D7I84UrtEZEPAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADINJREFUeJzt3X+o3fV9x/Hn2zRGmirorEkas2mdFV3YknFJN+xKhli0tKh/VMwfJYXOdKNuLeiYywb1nw3Xre1kbEI6s0ao2kLrdCBrJStYoYpXK/5YZhXJbExItCkz7dg1yX3vj/tNuY33fO/1/Pqe+H4+IJxzvu/v93zffMnrfs85n+85n8hMJNVzWtcNSOqG4ZeKMvxSUYZfKsrwS0UZfqkowy8VZfilogy/VNS7xrmz02NFnsHKce5SKuX/+Dlv5kwsZd2Bwh8RVwF3AMuAf87M29vWP4OVfDCuGGSXklo8nruXvG7fL/sjYhnwj8DVwGXAloi4rN/nkzReg7zn3wS8lJkvZ+abwH3ANcNpS9KoDRL+tcCP5z3e1yz7JRGxLSKmI2L6KDMD7E7SMA0S/oU+VHjL94Mzc0dmTmXm1HJWDLA7ScM0SPj3AevmPT4f2D9YO5LGZZDwPwFcHBEXRsTpwA3Ag8NpS9Ko9T3Ul5nHIuIm4DvMDfXtzMznh9aZpJEaaJw/Mx8CHhpSL5LGyMt7paIMv1SU4ZeKMvxSUYZfKsrwS0UZfqkowy8VZfilogy/VJThl4oy/FJRhl8qyvBLRRl+qSjDLxVl+KWiDL9UlOGXijL8UlGGXyrK8EtFGX6pKMMvFWX4paIMv1SU4ZeKMvxSUYZfKmqgWXojYi9wBDgOHMvMqWE0JWn0Bgp/4/cz8/UhPI+kMfJlv1TUoOFP4LsR8WREbBtGQ5LGY9CX/Zdn5v6IOA94OCL+KzMfmb9C80dhG8AZvHvA3UkaloHO/Jm5v7k9BNwPbFpgnR2ZOZWZU8tZMcjuJA1R3+GPiJURceaJ+8BHgOeG1Zik0RrkZf8q4P6IOPE892Tmvw+lK0kj13f4M/Nl4LeG2IukMXKoTyrK8EtFGX6pKMMvFWX4paIMv1TUML7Vpwm27KyzWuv7/mB9a/2ZW/6ptX48Z1vrl37/Uz1r79/6Quu2OTPTWtdgPPNLRRl+qSjDLxVl+KWiDL9UlOGXijL8UlGO878DnPbu3j+P9to9q1u3/c5vfrG1/uvf++PW+vnv/Wlr/fnf+5eetWvP/Xjrtsde3d9a12A880tFGX6pKMMvFWX4paIMv1SU4ZeKMvxSUY7zT4B3rX1fa/1Hf3tea33FM73H+X+48R9at730vlta6xfd/Fhr/bU/+t3WOr/RXlZ3PPNLRRl+qSjDLxVl+KWiDL9UlOGXijL8UlGLjvNHxE7gY8ChzFzfLDsH+AZwAbAXuD4z27/YrZ6Ov/6T1vqtG59qrX/0Qy/1rF2y+09at/3A9h+21rO1Cmv+7ZX2Ff5ykSdQZ5Zy5v8acNVJy24FdmfmxcDu5rGkU8ii4c/MR4DDJy2+BtjV3N8FXDvkviSNWL/v+Vdl5gGA5rb9+lNJE2fk1/ZHxDZgG8AZ9L4GXdJ49XvmPxgRawCa20O9VszMHZk5lZlTy1nR5+4kDVu/4X8Q2Nrc3wo8MJx2JI3LouGPiHuBHwCXRMS+iPg0cDtwZUS8CFzZPJZ0Cln0PX9mbulRumLIvZS1bM2q1voFp0+31rfvv7pn7QM3Pt+6bc7MtNb1zuUVflJRhl8qyvBLRRl+qSjDLxVl+KWi/OnuCfDiH65trW8+42hr/c/vXN+zdvbMD/rqaVhOIzrdv3rzzC8VZfilogy/VJThl4oy/FJRhl8qyvBLRTnOPwHiwp+31l89/r+t9bNfaN++S7OL/vi3uuKZXyrK8EtFGX6pKMMvFWX4paIMv1SU4ZeKcpx/AvzK/e3TmF33H3/aWj/3sW6/s69Tk2d+qSjDLxVl+KWiDL9UlOGXijL8UlGGXypq0XH+iNgJfAw4lJnrm2W3ATcCrzWrbc/Mh0bV5Dvdmfc91l4fUx+qZSln/q8BVy2w/CuZuaH5Z/ClU8yi4c/MR4DDY+hF0hgN8p7/poh4JiJ2RsTZQ+tI0lj0G/47gYuADcAB4Eu9VoyIbRExHRHTR5npc3eShq2v8Gfmwcw8npmzwFeBTS3r7sjMqcycWs6KfvuUNGR9hT8i1sx7eB3w3HDakTQuSxnquxfYDJwbEfuALwCbI2IDkMBe4DMj7FHSCCwa/szcssDiu0bQi6Qx8go/qSjDLxVl+KWiDL9UlOGXijL8UlH+dLdG6jSi6xbUg2d+qSjDLxVl+KWiDL9UlOGXijL8UlGGXyrKcX6N1CzZdQvqwTO/VJThl4oy/FJRhl8qyvBLRRl+qSjDLxVl+KWiDL9UlOGXijL8UlGGXyrK8EtFGX6pKMMvFbXo9/kjYh1wN7AamAV2ZOYdEXEO8A3gAmAvcH1m/nR0rWoSHf7wuq5bUJ+WcuY/BtycmZcCvwN8NiIuA24FdmfmxcDu5rGkU8Si4c/MA5n5VHP/CLAHWAtcA+xqVtsFXDuqJiUN39t6zx8RFwAbgceBVZl5AOb+QADnDbs5SaOz5PBHxHuAbwGfz8w33sZ22yJiOiKmjzLTT4+SRmBJ4Y+I5cwF/+uZ+e1m8cGIWNPU1wCHFto2M3dk5lRmTi1nxTB6ljQEi4Y/IgK4C9iTmV+eV3oQ2Nrc3wo8MPz2JI3KUn66+3Lgk8CzEfF0s2w7cDvwzYj4NPAK8InRtKhJ9pP1TsF9qlo0/Jn5KPScZP2K4bYjaVy8wk8qyvBLRRl+qSjDLxVl+KWiDL9UlFN0ayDve/RYa/20rV4HMKk880tFGX6pKMMvFWX4paIMv1SU4ZeKMvxSUY7zayArn9nfWp8lx9SJ3i7P/FJRhl8qyvBLRRl+qSjDLxVl+KWiDL9UlOP86szMxatb68tebb+GQIPxzC8VZfilogy/VJThl4oy/FJRhl8qyvBLRS06zh8R64C7gdXALLAjM++IiNuAG4HXmlW3Z+ZDo2pUk2n2f95orX9u/+U9a6v/+uXWbQ/feElr/fjzL7TW1W4pF/kcA27OzKci4kzgyYh4uKl9JTP/bnTtSRqVRcOfmQeAA839IxGxB1g76sYkjdbbes8fERcAG4HHm0U3RcQzEbEzIs7usc22iJiOiOmjzAzUrKThWXL4I+I9wLeAz2fmG8CdwEXABuZeGXxpoe0yc0dmTmXm1HJWDKFlScOwpPBHxHLmgv/1zPw2QGYezMzjmTkLfBXYNLo2JQ3bouGPiADuAvZk5pfnLV8zb7XrgOeG356kUVnKp/2XA58Eno2Ip5tl24EtEbEBSGAv8JmRdKiJNnvkSGv9xVs29qz9xc5drdv+zfIb+upJS7OUT/sfBRaaZN0xfekU5hV+UlGGXyrK8EtFGX6pKMMvFWX4paIic3xTKJ8V5+QH44qx7U+q5vHczRt5eKGh+bfwzC8VZfilogy/VJThl4oy/FJRhl8qyvBLRY11nD8iXgP+e96ic4HXx9bA2zOpvU1qX2Bv/Rpmb7+Wme9dyopjDf9bdh4xnZlTnTXQYlJ7m9S+wN761VVvvuyXijL8UlFdh39Hx/tvM6m9TWpfYG/96qS3Tt/zS+pO12d+SR3pJPwRcVVEvBARL0XErV300EtE7I2IZyPi6YiY7riXnRFxKCKem7fsnIh4OCJebG4XnCato95ui4hXm2P3dER8tKPe1kXE9yJiT0Q8HxGfa5Z3euxa+urkuI39ZX9ELAN+BFwJ7AOeALZk5n+OtZEeImIvMJWZnY8JR8SHgZ8Bd2fm+mbZF4HDmXl784fz7Mz8swnp7TbgZ13P3NxMKLNm/szSwLXAp+jw2LX0dT0dHLcuzvybgJcy8+XMfBO4D7imgz4mXmY+Ahw+afE1wInZLnYx959n7Hr0NhEy80BmPtXcPwKcmFm602PX0lcnugj/WuDH8x7vY7Km/E7guxHxZERs67qZBaxqpk0/MX36eR33c7JFZ24ep5Nmlp6YY9fPjNfD1kX4F/qJoUkacrg8M38buBr4bPPyVkuzpJmbx2WBmaUnQr8zXg9bF+HfB6yb9/h8YH8HfSwoM/c3t4eA+5m82YcPnpgktbk91HE/vzBJMzcvNLM0E3DsJmnG6y7C/wRwcURcGBGnAzcAD3bQx1tExMrmgxgiYiXwESZv9uEHga3N/a3AAx328ksmZebmXjNL0/Gxm7QZrzu5yKcZyvh7YBmwMzP/auxNLCAi3s/c2R7mJjG9p8veIuJeYDNz3/o6CHwB+Ffgm8CvAq8An8jMsX/w1qO3zcy9dP3FzM0n3mOPubcPAd8HngVmm8XbmXt/3dmxa+lrCx0cN6/wk4ryCj+pKMMvFWX4paIMv1SU4ZeKMvxSUYZfKsrwS0X9P/A1fOhtuJP6AAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 4\n", "Predicted Value: 4 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 8\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADYpJREFUeJzt3W2MXOV5xvHrwl3b4IBlxEstx6l5K6lBiqk3Tlq3LpFFZFIqk0pBsSrkprRGaWjjCFVFVqXwpZUbhdC0JbROcHDUYIiUYCzqJkFWKpqIAGtCA45JcIyTOHZsqKMa+mLW3rsf9jjamJ1n1jNn5sz2/v8ka2bOfc6cmxHXnpl5zpzHESEA+ZzVdAMAmkH4gaQIP5AU4QeSIvxAUoQfSIrwA0kRfiApwg8k9Qv93NlMz4rZmtPPXQKp/K/+S6/HcU9l3a7Cb3uVpE9KmiHpMxGxsbT+bM3RO7yym10CKHgydk553Y7f9tueIekeSddLWixpje3FnT4fgP7q5jP/Mkl7I2JfRLwu6UFJq+tpC0CvdRP+BZJ+NOHxgWrZz7G9zvaI7ZFRHe9idwDq1E34J/tS4Q2/D46ITRExHBHDQ5rVxe4A1Kmb8B+QtHDC4zdLOthdOwD6pZvwPy3pCtuX2J4p6f2SttfTFoBe63ioLyJO2L5N0lc0PtS3OSJ219YZgJ7qapw/InZI2lFTLwD6iNN7gaQIP5AU4QeSIvxAUoQfSIrwA0kRfiApwg8kRfiBpAg/kBThB5Ii/EBShB9IivADSRF+ICnCDyRF+IGkCD+QFOEHkiL8QFKEH0iK8ANJEX4gKcIPJEX4gaQIP5AU4QeSIvxAUoQfSKqrWXpt75f0qqSTkk5ExHAdTQHova7CX3lXRLxSw/MA6CPe9gNJdRv+kPRV27tsr6ujIQD90e3b/uURcdD2RZIes/1CRDw+cYXqj8I6SZqtc7rcHYC6dHXkj4iD1e0RSQ9LWjbJOpsiYjgihoc0q5vdAahRx+G3Pcf2uafuS3q3pOfragxAb3Xztv9iSQ/bPvU8D0TEl2vpCkDPdRz+iNgn6W019gKgjxjqA5Ii/EBShB9IivADSRF+ICnCDyRVx6/60LCXNv5ay9rum/++q+ce8oxifTROFuu//OVbW9au/NT/FLeNXbuLdXSHIz+QFOEHkiL8QFKEH0iK8ANJEX4gKcIPJMU4/zSw72Otx/El6RtrPt6yNqaZXe17NMr1MY0V6y+surdlbevyBcVtH/y964p1zgPoDkd+ICnCDyRF+IGkCD+QFOEHkiL8QFKEH0iKcf4BUPo9vlQex5ekuWe1Hss/evJ4cds7f1IeS//aziXF+odXP1qs/+HcfS1ra879cXHbv/6ducX6W3YVy2iDIz+QFOEHkiL8QFKEH0iK8ANJEX4gKcIPJNV2nN/2Zkk3SDoSEVdXy86X9JCkRZL2S7opIn7auzant5+s//VifffNf1est/tNfmksf8UDf1bc9tI7nijWL1G5/s+fXVasz9jW+vf+H5i7v7jt63PL1wpAd6Zy5L9f0qrTlt0haWdEXCFpZ/UYwDTSNvwR8biko6ctXi1pS3V/i6Qba+4LQI91+pn/4og4JEnV7UX1tQSgH3p+br/tdZLWSdJsndPr3QGYok6P/Idtz5ek6vZIqxUjYlNEDEfE8JBmdbg7AHXrNPzbJa2t7q+V9Eg97QDol7bht71V0hOSrrR9wPYtkjZKus72i5Kuqx4DmEbafuaPiDUtSitr7uX/rWOLR3v6/L/1T63H8i/dUB6n79bo/POK9UUzX+n4ub9zU/n8h9/89z8t1ufd39v/9umOM/yApAg/kBThB5Ii/EBShB9IivADSXHp7hrMuPLyYv17v/0PxfqQZxTrb3+m1WjruEt6PJxX8v0/cLG+8uz/LlS7O/Y89Vetp/+WpPd843db1k6+2PqS4llw5AeSIvxAUoQfSIrwA0kRfiApwg8kRfiBpBjnr8F/LLuwWB9T+RLUo1F+/rE29V7y0quK9QdX/GOx3suLb7d73VDGkR9IivADSRF+ICnCDyRF+IGkCD+QFOEHkmKcvwZnHz3R0+e/56qtxfoff/C2lrVZ/1keDF/6kW8V6yvmPlqsv608ezgGGEd+ICnCDyRF+IGkCD+QFOEHkiL8QFKEH0iq7Ti/7c2SbpB0JCKurpbdKemPJL1crbYhInb0qslBd853y9NQ7xstT9F9+dCsYv2aWeVfxT/xF39brHfjrDbHhwMnjhfrd7/8rpa1eUOla/pLGy54tlhHd6Zy5L9f0qpJlt8dEUuqf2mDD0xXbcMfEY9LOtqHXgD0UTef+W+z/W3bm23Pq60jAH3RafjvlXSZpCWSDkm6q9WKttfZHrE9Mqry50MA/dNR+CPicEScjIgxSZ+WtKyw7qaIGI6I4SGVv9gC0D8dhd/2/AkP3yvp+XraAdAvUxnq2yrpWkkX2D4g6aOSrrW9RFJI2i/p1h72CKAH2oY/IiabHP6+HvQybZ3c+1Kxfuv69cX6znvK88w36QM/WFms773nrcX67KMnW9a+8plPddQT6sEZfkBShB9IivADSRF+ICnCDyRF+IGkuHR3H5y97ali/YZtS4v179/1zmL95Lmth9PaWbjDxXq73ufqm8X68evf3rLW7ufC7Qx5RlfbZ8eRH0iK8ANJEX4gKcIPJEX4gaQIP5AU4QeSYpx/Grjs9vJY+nQ1pvIlydu5/F9vKddf4hozJRz5gaQIP5AU4QeSIvxAUoQfSIrwA0kRfiApxvkxbZ18bahYjxMn+tTJ9MSRH0iK8ANJEX4gKcIPJEX4gaQIP5AU4QeSajvOb3uhpM9J+kVJY5I2RcQnbZ8v6SFJiyTtl3RTRPy0d61iOjo+j2vrD6qpHPlPSLo9In5F0jslfcj2Ykl3SNoZEVdI2lk9BjBNtA1/RByKiGeq+69K2iNpgaTVkrZUq22RdGOvmgRQvzP6zG97kaRrJD0p6eKIOCSN/4GQdFHdzQHonSmH3/abJH1R0vqIOHYG262zPWJ7ZFTHO+kRQA9MKfy2hzQe/M9HxJeqxYdtz6/q8yUdmWzbiNgUEcMRMTykWXX0DKAGbcNv25Luk7QnIj4xobRd0trq/lpJj9TfHoBemcpPepdLulnSc7afrZZtkLRR0hds3yLph5Le15sWMZ0t/ci3evbc7aYXR1nb8EfE1yW1epVX1tsOgH7hDD8gKcIPJEX4gaQIP5AU4QeSIvxAUly6G13x0quK9RVzH21ZO6vLY8/Z257qavvsOPIDSRF+ICnCDyRF+IGkCD+QFOEHkiL8QFKM86MrLy89r1hfPeeVlrWxNs+9+KE/KdYv1zfbPANKOPIDSRF+ICnCDyRF+IGkCD+QFOEHkiL8QFKM82NgzTzGsamXeHWBpAg/kBThB5Ii/EBShB9IivADSRF+IKm24be90PbXbO+xvdv2h6vld9r+se1nq3/v6X27AOoylZN8Tki6PSKesX2upF22H6tqd0fEx3vXHoBeaRv+iDgk6VB1/1XbeyQt6HVjAHrrjD7z214k6RpJT1aLbrP9bdubbc9rsc062yO2R0Z1vKtmAdRnyuG3/SZJX5S0PiKOSbpX0mWSlmj8ncFdk20XEZsiYjgihoc0q4aWAdRhSuG3PaTx4H8+Ir4kSRFxOCJORsSYpE9LWta7NgHUbSrf9lvSfZL2RMQnJiyfP2G190p6vv72APTKVL7tXy7pZknP2X62WrZB0hrbSySFpP2Sbu1JhxhoF+46Vqy/9V8+2LL2wvX31t0OzsBUvu3/uiRPUtpRfzsA+oUz/ICkCD+QFOEHkiL8QFKEH0iK8ANJOSL6trPzfH68wyv7tj8gmydjp47F0cmG5t+AIz+QFOEHkiL8QFKEH0iK8ANJEX4gKcIPJNXXcX7bL0v6wYRFF0h6pW8NnJlB7W1Q+5LorVN19vZLEXHhVFbsa/jfsHN7JCKGG2ugYFB7G9S+JHrrVFO98bYfSIrwA0k1Hf5NDe+/ZFB7G9S+JHrrVCO9NfqZH0Bzmj7yA2hII+G3vcr2d23vtX1HEz20Ynu/7eeqmYdHGu5ls+0jtp+fsOx824/ZfrG6nXSatIZ6G4iZmwszSzf62g3ajNd9f9tve4ak70m6TtIBSU9LWhMR3+lrIy3Y3i9pOCIaHxO2vULSa5I+FxFXV8s+JuloRGys/nDOi4g/H5De7pT0WtMzN1cTysyfOLO0pBsl/b4afO0Kfd2kBl63Jo78yyTtjYh9EfG6pAclrW6gj4EXEY9LOnra4tWStlT3t2j8f56+a9HbQIiIQxHxTHX/VUmnZpZu9LUr9NWIJsK/QNKPJjw+oMGa8jskfdX2Ltvrmm5mEhdX06afmj79oob7OV3bmZv76bSZpQfmtetkxuu6NRH+yS4xNEhDDssj4lclXS/pQ9XbW0zNlGZu7pdJZpYeCJ3OeF23JsJ/QNLCCY/fLOlgA31MKiIOVrdHJD2swZt9+PCpSVKr2yMN9/MzgzRz82QzS2sAXrtBmvG6ifA/LekK25fYninp/ZK2N9DHG9ieU30RI9tzJL1bgzf78HZJa6v7ayU90mAvP2dQZm5uNbO0Gn7tBm3G60ZO8qmGMv5G0gxJmyPiL/vexCRsX6rxo700PonpA032ZnurpGs1/quvw5I+KmmbpC9IeoukH0p6X0T0/Yu3Fr1dq/G3rj+bufnUZ+w+9/Ybkv5N0nOSxqrFGzT++bqx167Q1xo18Lpxhh+QFGf4AUkRfiApwg8kRfiBpAg/kBThB5Ii/EBShB9I6v8Ab7PBx0jrlMkAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 6\n", "Predicted Value: 6 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 2\n", "Predicted Value: 2 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 7\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 1\n", "Predicted Value: 1 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 0\n", "Predicted Value: 0 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 8 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 9 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 3\n", "Predicted Value: 3 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 9\n", "Predicted Value: 7 \n", "\n", "\n", "\n", "\n", "Image:\n" ] }, { "data": { "image/png": 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ipt8oszczu1fS1Ro96+uIpFskfUfSNyUtlPS8pOvcvel/eMvp7WqNvnX93crNY5+xm9zblZIelbRP0ki2eb1GP1+X9tol+lqjEl43vuEHBMU3/ICgCD8QFOEHgiL8QFCEHwiK8ANBEX4gKMIPBPX/g6cxYT6agmgAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Given Value: 5\n", "Predicted Value: 5 \n", "\n", "\n", "\n", "\n" ] } ], "source": [ "print(batch_xs.shape[0])\n", "#print(np.reshape(batch_xs[0],(1,784)).shape)\n", "for i in range(0,batch_xs.shape[0]):\n", " output = sess.run(logits, feed_dict = {X: np.reshape(batch_xs[i],(1,784))})\n", " print('Image:')\n", " gen_image(batch_xs[i]).show()\n", " print('Given Value: ', np.argmax(batch_ys[i]))\n", " print('Predicted Value:', np.argmax(output), '\\n\\n\\n\\n')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Strengths/Weaknesses" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
\n", " Summary" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "
\n", "
\n", "
\n", "References" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Github tutorials \n", "\n", "* by aymericdamien: https://github.com/aymericdamien/TensorFlow-Examples \n", "* by sjchoi86: https://github.com/sjchoi86\n", "\n", "https://www.tensorflow.org" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }