rna-mnist-vae.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-01-24 16:55:04.671940: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:04.738045: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:04.738310: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:04.739935: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2022-01-24 16:55:04.742070: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:04.742274: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:04.742411: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:05.394666: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:05.394845: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:05.394982: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
      "2022-01-24 16:55:05.395117: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 2411 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1650, pci bus id: 0000:01:00.0, compute capability: 7.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"U-Net\"\n",
      "__________________________________________________________________________________________________\n",
      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      " input_1 (InputLayer)           [(None, 28, 28, 1)]  0           []                               \n",
      "                                                                                                  \n",
      " conv2d (Conv2D)                (None, 28, 28, 16)   160         ['input_1[0][0]']                \n",
      "                                                                                                  \n",
      " batch_normalization (BatchNorm  (None, 28, 28, 16)  64          ['conv2d[0][0]']                 \n",
      " alization)                                                                                       \n",
      "                                                                                                  \n",
      " activation (Activation)        (None, 28, 28, 16)   0           ['batch_normalization[0][0]']    \n",
      "                                                                                                  \n",
      " max_pooling2d (MaxPooling2D)   (None, 14, 14, 16)   0           ['activation[0][0]']             \n",
      "                                                                                                  \n",
      " conv2d_1 (Conv2D)              (None, 8, 8, 16)     12560       ['max_pooling2d[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_2 (Conv2D)              (None, 8, 8, 32)     4640        ['conv2d_1[0][0]']               \n",
      "                                                                                                  \n",
      " batch_normalization_1 (BatchNo  (None, 8, 8, 32)    128         ['conv2d_2[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_1 (Activation)      (None, 8, 8, 32)     0           ['batch_normalization_1[0][0]']  \n",
      "                                                                                                  \n",
      " max_pooling2d_1 (MaxPooling2D)  (None, 4, 4, 32)    0           ['activation_1[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_3 (Conv2D)              (None, 4, 4, 32)     9248        ['max_pooling2d_1[0][0]']        \n",
      "                                                                                                  \n",
      " batch_normalization_2 (BatchNo  (None, 4, 4, 32)    128         ['conv2d_3[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_2 (Activation)      (None, 4, 4, 32)     0           ['batch_normalization_2[0][0]']  \n",
      "                                                                                                  \n",
      " max_pooling2d_2 (MaxPooling2D)  (None, 2, 2, 32)    0           ['activation_2[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_4 (Conv2D)              (None, 2, 2, 32)     9248        ['max_pooling2d_2[0][0]']        \n",
      "                                                                                                  \n",
      " batch_normalization_3 (BatchNo  (None, 2, 2, 32)    128         ['conv2d_4[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_3 (Activation)      (None, 2, 2, 32)     0           ['batch_normalization_3[0][0]']  \n",
      "                                                                                                  \n",
      " max_pooling2d_3 (MaxPooling2D)  (None, 1, 1, 32)    0           ['activation_3[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_5 (Conv2D)              (None, 1, 1, 64)     18496       ['max_pooling2d_3[0][0]']        \n",
      "                                                                                                  \n",
      " batch_normalization_4 (BatchNo  (None, 1, 1, 64)    256         ['conv2d_5[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_4 (Activation)      (None, 1, 1, 64)     0           ['batch_normalization_4[0][0]']  \n",
      "                                                                                                  \n",
      " conv2d_transpose (Conv2DTransp  (None, 2, 2, 32)    8224        ['activation_4[0][0]']           \n",
      " ose)                                                                                             \n",
      "                                                                                                  \n",
      " concatenate (Concatenate)      (None, 2, 2, 64)     0           ['conv2d_transpose[0][0]',       \n",
      "                                                                  'activation_3[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_6 (Conv2D)              (None, 2, 2, 32)     18464       ['concatenate[0][0]']            \n",
      "                                                                                                  \n",
      " batch_normalization_5 (BatchNo  (None, 2, 2, 32)    128         ['conv2d_6[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_5 (Activation)      (None, 2, 2, 32)     0           ['batch_normalization_5[0][0]']  \n",
      "                                                                                                  \n",
      " conv2d_transpose_1 (Conv2DTran  (None, 4, 4, 32)    4128        ['activation_5[0][0]']           \n",
      " spose)                                                                                           \n",
      "                                                                                                  \n",
      " concatenate_1 (Concatenate)    (None, 4, 4, 64)     0           ['conv2d_transpose_1[0][0]',     \n",
      "                                                                  'activation_2[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_7 (Conv2D)              (None, 4, 4, 32)     18464       ['concatenate_1[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_6 (BatchNo  (None, 4, 4, 32)    128         ['conv2d_7[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_6 (Activation)      (None, 4, 4, 32)     0           ['batch_normalization_6[0][0]']  \n",
      "                                                                                                  \n",
      " conv2d_transpose_2 (Conv2DTran  (None, 8, 8, 32)    4128        ['activation_6[0][0]']           \n",
      " spose)                                                                                           \n",
      "                                                                                                  \n",
      " concatenate_2 (Concatenate)    (None, 8, 8, 64)     0           ['conv2d_transpose_2[0][0]',     \n",
      "                                                                  'activation_1[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_8 (Conv2D)              (None, 8, 8, 32)     18464       ['concatenate_2[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_7 (BatchNo  (None, 8, 8, 32)    128         ['conv2d_8[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_7 (Activation)      (None, 8, 8, 32)     0           ['batch_normalization_7[0][0]']  \n",
      "                                                                                                  \n",
      " conv2d_transpose_3 (Conv2DTran  (None, 14, 14, 16)  25104       ['activation_7[0][0]']           \n",
      " spose)                                                                                           \n",
      "                                                                                                  \n",
      " conv2d_transpose_4 (Conv2DTran  (None, 28, 28, 16)  1040        ['conv2d_transpose_3[0][0]']     \n",
      " spose)                                                                                           \n",
      "                                                                                                  \n",
      " concatenate_3 (Concatenate)    (None, 28, 28, 32)   0           ['conv2d_transpose_4[0][0]',     \n",
      "                                                                  'activation[0][0]']             \n",
      "                                                                                                  \n",
      " conv2d_9 (Conv2D)              (None, 28, 28, 16)   4624        ['concatenate_3[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_8 (BatchNo  (None, 28, 28, 16)  64          ['conv2d_9[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_8 (Activation)      (None, 28, 28, 16)   0           ['batch_normalization_8[0][0]']  \n",
      "                                                                                                  \n",
      " conv2d_10 (Conv2D)             (None, 28, 28, 1)    17          ['activation_8[0][0]']           \n",
      "                                                                                                  \n",
      "==================================================================================================\n",
      "Total params: 158,161\n",
      "Trainable params: 157,585\n",
      "Non-trainable params: 576\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-01-24 16:55:08.447339: I tensorflow/stream_executor/cuda/cuda_dnn.cc:366] Loaded cuDNN version 8302\n",
      "2022-01-24 16:55:09.324514: I tensorflow/core/platform/default/subprocess.cc:304] Start cannot spawn child process: No existe el archivo o el directorio\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AAEAAhikAAAAACMAwBQAAAAABGKYAAAAAIADDFAAAAAAEYJgCAAAAgAAMUwAAAAAQwFvaG2XoMrLxEu8WZmbW1+if2QqaS+Ue8Tw9942V6cKtnF5dlDtWou939pC/XbWwWReR5TzdJDMDFyySGRx+GWkU8qbzHC7f4n/eFG7SJXg9K3TBNXCs6X3naplZ8tEXZObxXy6Vmdk3PakPKKFfa3BsWlK4T2b+pmWNzFx9gv/52hvPl3v0TeTKzMrinTJTMlcXuX5/l/4cvHjmZu/6fftOlntUNgzIzLtrH5OZOzrfIDN1ef7X3NaxYrlHRWxIZqqz9X2KOX1OaZvQx7O6ZLt3fc9Yhdzj5Dz9HN8xVq2PpXCbzNzeuVJmrqxc713vihfKPfom9efTdHhnCgAAAAACMEwBAAAAQACGKQAAAAAIwDAFAAAAAAEYpgAAAAAgAMMUAAAAAARgmAIAAACAAAxTAAAAABDA27g7XB2TG2RM6rLS2V9+3L/HkhPlHnlxf0mumdlIrS6n61yi71PlixMyk79ut3d9/3Xz9e1EC2QGR4esAf2cGa3JkZnCpj7v+sBJukxvoI6vkeD407FSv0bcPEcXedpHdebSb50jM/H+fn1bOCb9W9OZMnPmTF2U+2RHg3f9F126YPpvT71TZv7yuatkZrxHX18tXNAsM7e+eJp3PTHkvSw1M7OvbrxSZt52of48zsvUr9tjCf/xlMZ0mXE8jfct4pHO7B8rlZl07lPLuH+fhbktco97u0+RmfLsYZn5+e5LZebGefqx/HHr6d71ipw0ipNzdHHydLjqAgAAAIAADFMAAAAAEIBhCgAAAAACMEwBAAAAQACGKQAAAAAIwDAFAAAAAAEYpgAAAAAgAMMUAAAAAATwtpHlt+nyr9ymNpnZ+4kzvOsuLrewWffq2+k9q0Bm6n+0R2Z6zpwtM20f9Jfy1t/jL181M9t1VbHMVD2niyhx+A3MzZOZkiZdGtezpMy7HhvRz4ecHl2kjaNX1uxZMtN+UZ13vfyWtfqGIp5H0xk++wSZybnn6UNwJDgSnT1ru8zcUPGozPxFz9u96195w8/lHp9Ye63M1NV2y4yV62uapn3VMpP/kr/8d3yZfp3M2RaTmYkoU2YynH49bcjt9K7vGq2Ue8zK6ZGZ4US2zKwo3C0zvfF8memZ9F8rd07qa9O3Vz0lM9/Zf57MfHC+/jxI52Nck+sv3F1VrD8nnx+aIzPT4Z0pAAAAAAjAMAUAAAAAARimAAAAACAAwxQAAAAABGCYAgAAAIAADFMAAAAAEIBhCgAAAAACMEwBAAAAQABvaW9foy4Ry4hXyUxBi78YLUpjpBtpLJeZwr26gK3lcl3K1bN8UmYyC8a8601lRXKP4u1OZnB0KF/bKjOT1boIL7/dX5SdyNLPmcIWGcFRrPnN9TLz3Of+xbu+aM5H5B51f/142sd0vGk+y/vSaWZmc+85BAeCI9KOQV0y+kKhLt+eV+wvjP323nPlHpct2iAzDbldMvO9ratl5sQ6/Tq4fZ///BXt1qWzg3P1NdruYX3NWJ+vy4q3DNf6jyWeI/eIp/G+xcCkv8zYzGxzfIbMFGT5r03NzCpi/mLkdMqMf9W9XGaGJvQM8euOxTKzq1c/lidWtHvX943rPc4o2iYz0+GdKQAAAAAIwDAFAAAAAAEYpgAAAAAgAMMUAAAAAARgmAIAAACAAAxTAAAAABCAYQoAAAAAAnjLMgpa43KDsbKYzBTu9//e+/EivUf7cp0p26qPt+LFUZnJmMyTmf43jnvXb7zoQbnHj3aukRkcHUYbKmSm8xTdRxEbirzrxXv8PVRmZhkT/j1wdKt61t8Rko7fvv8rMvOevz7rNd/OseqqNWtl5oXPHoIDwRFpVn6vzPyud5HMNOT5+59WFO+We6ieJDOztgndgTjUofufrKxHRmas9Bch7t2gj/fs5ZtlZnBCv94uyGuTmeqsfu/6XV3L5B7L8/XjtG2sRmYW5TbLzIaR2TJzVuEW7/rvB0+Ue1xculFmJhNLZObENIox31Slb+uOFn/vVW6xvnb6ff8JMnP9NH/PO1MAAAAAEIBhCgAAAAACMEwBAAAAQACGKQAAAAAIwDAFAAAAAAEYpgAAAAAgAMMUAAAAAARgmAIAAACAAN7S3t553mUzM8tvT8hMxph/n4lCPdPNfmhAZlwaXaU9JxbKTNaI3mjJ7P3e9Zs3nCn3mLPRX2ZsZjZerB8DHH5Zw7oQLmsk+zXfTiLLycxQLc8ZvHYuR5deRmP6HHaoVDyXxtcGrzk4t3VR8QaZecEWH5wbw1Hn/BJdKvu7Pl2Mes8+/3Po4ln6dnIyJmVm55Aunc8u1Z/r++5ukJncLv/1VV6Nfo17YmejzFx2gv4c/XnzCpmZV9zpXc/KiMs9ftW5TGbGE5kys75PF/KOJ/Trf9u4v6S5c6xA7rFzWD9nYk7PB7fv1o/B7KJemZkQH7/28SK5R1W2njOmwztTAAAAABCAYQoAAAAAAjBMAQAAAEAAhikAAAAACMAwBQAAAAABGKYAAAAAIADDFAAAAAAEYJgCAAAAgADedq+CVl24NVaiC9YyJv0zW3a/Lj3rXK7LdjPGZcQqf6aL3BKLGmTmmU1zveurF2+Te2xYtkhmSnbojw0Ov+5FuuSuoE0/liMV/uK53nkxuUf2QBrt1TiuzcjS59PmPztV7/O1xw/G4RwU1b/dd7gPATAzs/FIF7BeVva8zOwa8BejLsprlnt86cVLZGZSXKOZmeU9oc8ZCd3zbX2XDHnXG76u99gb08cSO1G/3k5G+n6fU7zFu75jrFru0RfLk5mY08e7JH+PzGwamSUz24crveuLilrlHgtzdeb+bl1cvrRSP4fPLGmSmZlZPd71J4YWyD3SeQymwztTAAAAABCAYQoAAAAAAjBMAQAAAEAAhikAAAAACMAwBQAAAAABGKYAAAAAIADDFAAAAAAEYJgCAAAAgADe0t6STb1yg3ihbmlrOdNfaFq4Txf/lm7TjbzD1brQtPvNJ8tM+xm6uGvjpd/yrt82OFvuse4NdTJTsiNXZnD4VT+oy/T2vbVeZvLb/UXZ+R36uVmwtVtmAGX4DcMy0/Hh1YfgSMxKdk7KTNYmXSJ5sJye2y8zI28+zbued+dTB+twcISpyBqUmUzT5eqrKnd61zcO64LWf1j2M5n51PprZKbyCl2K3f0Lfd0z+ZK/cHe8RF/rFe3RH7tZOf4SVzOzB+7W568vxd7hXa99Qp8nh2br67iJPH0d/GAanbJjpXqf7DUd3vVEGmXG24eqZGZXf7nMXDVbl1ff2bZcZhoKu7zrT7br668LZmyVmenwzhQAAAAABGCYAgAAAIAADFMAAAAAEIBhCgAAAAACMEwBAAAAQACGKQAAAAAIwDAFAAAAAAEYpgAAAAAggLe0d7zSX7ZrZpazv09m5vzSX2A3dEKF3CO7bUhmWlbpgrCZj43KzEiTLlhb8sgHves3LnlU7pGIdLkajg59p+uywtiwLhos3ukvAOxdqD8nR1bpMj0cvVpX6+fAwbDtvFt06LzX+yiSeuK6GHNvPJ2vDR6cEvSSjDyZGSnP9K7rHXC0+putl8tMZoa/oN3M7DPzfu1d//qui+Qel5Wsl5mcmC7Fjn22RGaqn35cZjo+5C/KjbL0dVHWiP7Y/fPz58nMjDTKwEdL/Z/HwzP1OSVjUr/25/TrTH6Lvn7tn6vPLB1b/Nfc46d1yz3OLdcFt73j+lhufvEsmXnbomdlpnvC/7p4fd06uceTfXNlZjq8MwUAAAAAARimAAAAACAAwxQAAAAABGCYAgAAAIAADFMAAAAAEIBhCgAAAAACMEwBAAAAQABvz1QiW89abnRMZlrX+Dt4xsp1r0DB4+0yU7i/TGbiOfo+vfFPnpKZs4v8v2M/0+kehCWz98tM4af1x3d4Mvs1Zy6s2iz3OCO/SWa+un+NzKwo2SszCdPPiX+/73zv+pyHJuQe2V0jMjNUXygzGXHdEVG0Rx9P51J/V0LxLr1Hf31MZnBkcjH9ufzJG287BEdyZCnLzE8jcwgOBEhDQ4nu6anOGZCZz294s3fdOf26c8OP/kxmyk7tkJkLvv+0zNzyY/36n93rX29bqV+/nH4ZtJtP/4HM3Gjvkpnq8n7vekdPkdwj9oLuBhxu0Heqcq0+D/adICNW9pJ//dn4QrnHu69+TGb6x3QH1xULX5SZl/prZSY3098ZNrOkR+5xVqnuHZsO70wBAAAAQACGKQAAAAAIwDAFAAAAAAEYpgAAAAAgAMMUAAAAAARgmAIAAACAAAxTAAAAABCAYQoAAAAAAnhLe8eLdQti7+VzZGZS9JXNeEwXp7Zdo5vIMsZlxBIxPT+u7/KXDJuZjSe8HzpbmN8q9yiM6ULeR9ctkpllS3fITOct9d71n43WyT2+eeEFMhMr0vfp07Pvk5nPbLtGZiZFwVrXIl2AOvN3gzKTNRSXmYxJXZ7Y16iPZzLXX1Y8VuZ/3pmZZQ/qY8GRKYrr59r39pwlM+86+c7XfCx/3rxSZh7eN19mxsZ0Cees7+rPDaVlld5j0YW6ePyO+Q++5mMxM0tc3eUPfO+g3AyOQCcXNctM54Qug//AQn8x6tVFG+UeX6h9k8ysKN4tM//3wctk5twrdQHr1t4q7/pAV4ncw+3TZbA37b5EZuLj+ho3UxQjT6axR76+zLDzlm6WmbX7T5GZibI0yn+v9z8/KyL/dYiZ2U87TpOZs6q3y8xHKh6XmZdKymRmIJHnXd80OlPu0Tfp38OHd6YAAAAAIADDFAAAAAAEYJgCAAAAgAAMUwAAAAAQgGEKAAAAAAIwTAEAAABAAIYpAAAAAAjAMAUAAAAAAbwNoLEBXSCZp7u9rOSxfu96Rpd/3cysqGiGzOS2DMtM56nFMhP/pS73eqCx1r+e0B+Y2Q/7S2fNzOon9WMw+k9FMlNR0OddT2Tr4rnxp3TJYG63ns+fPEUXfeZl6eK5vAp/2XN+u75PY7X6PrWv0GWgdff2yIw16H1q1vmfw+PFugA1I05p71EroT/f8z+qn9fzP/Ah73rGpD4/zfviczIzY3STzBwqdQ/oTNezumjS/vW1H4uZWU2hv6lTP9I4Wm0e9F8fmJk9tbteZi6e7y9yrSndIfd4rn2WzORl6tfb7BlDMrNnUJer9g75i1EL1uni1HS6Vbevq5OZqExfg8Uy/Z+pc2d1yj12delrysd2NsqMy9Gv7cWb9DXCzk7/x2bl+QfnvL6qcJvMvP2ld8nMu+vXyswPdq/yrmeI8mUzs/Nrt8rMtPsH/0sAAAAAOI4xTAEAAABAAIYpAAAAAAjAMAUAAAAAARimAAAAACAAwxQAAAAABGCYAgAAAIAADFMAAAAAEMBb2js4y7tsZmal28f0rUT+sqzRBTVyi6EafSz5aRxLzUPNMtNxji5YK93sL73M60zIPVwarY1DM3QBW9aQLiJWpbwZcX28lkakfaWez/+t6QyZubZRF4Z2/MBfeljQop8PXSflykz97S0yM9pQLjMF7foBj+f4H6fuk/TzwejsPabFt26XmXmf1BkljU93eHT80H9+Kjf9WoSj0xNPnigz563eIDP3rF/iXX+hW1+r9G/Rr0337dBlu194089k5htNb5SZq+e94F1/oVKXDJdm+8vtzcxuqH5UZm7afYnM7Oyo8K6/e9GTco/vxfV9mhjIlhmr0NcQDXeNykziSz3e9XkFHXKPU/N3ysymUX2/+0f0NVjTiJ4R/nbBnd710UhfO93ds0xmpsM7UwAAAAAQgGEKAAAAAAIwTAEAAABAAIYpAAAAAAjAMAUAAAAAARimAAAAACAAwxQAAAAABGCYAgAAAIAA3ibc8WJ/Ma2ZWfcJOTIzNMefmfHYpNwjc0I3ke69qlpmYgN6n8w0eoirf+UvxWx563y5R6HugrWylwZlJpGjC43b36AfJ3k7/j5ZMzOrv29EZj5xzR0yc07ugMx8d+U53vV4rr7P5Zv1gx0vL5SZrCH9HHZplOmOl/gfy/xWXaU6Us3XSADgcPn+Vd+WmY7JYpk5cbX/IuFT5bqc+/yMq2TmC413ycxfbdP75MXSuJZz/tewmjRe+5v6qmTm4x3Xykw8oV8rF9W2edd/vnup3KNsk4xYzbv26UwaH5vNcxbLTPMef4Ht8IQuuN1Z4i8zNjPbO6jLoGcW98vME+1zZeaRFv8195VzXpR75GRMyMx0uOoCAAAAgAAMUwAAAAAQgGEKAAAAAAIwTAEAAABAAIYpAAAAAAjAMAUAAAAAARimAAAAACAAwxQAAAAABPA2hOa36YJQ072+VntLu3c9ysmWe4xU6PKv2id1YexIpb6tdEw2zvCu53fqj11/g27BHS3ThbEFLbooL6fL3xgbG9aNsumUODefmSczf7XlSplpLO2Smdw2f8FtlMaXCkaqdTldbpa+360r9fMqt1t/jEu3+0vjhmr08eb0pNEODByHMsf1eXkwMSozhRm5MtN5uv+8XP49uQWOUrlOl39uGp0pM1uHqr3r33T6tf/L8+6QmdFIv64sKmuVmaHJHJmZl+Mvwc1J4z4VZI3JzOOtuuj1TxuflpmZsR7v+rayGrnHb647UWaaHm2Qmc1z9bmpqEZfV2b0+q9pZszXRbqDE/qxTqcM+ocdZ8hMOiXNSyubveuXFz0v93hsxF/868M7UwAAAAAQgGEKAAAAAAIwTAEAAABAAIYpAAAAAAjAMAUAAAAAARimAAAAACAAwxQAAAAABPAW9RTt1r/Tvutk3SuUKC3wrk8U6Y6e0qYhmZko1F0JiTQ6g4p26tvKau/z7zGp+0xig7qrpOskfZ8m83VGdS4VtMXlHunM3hnjepeiHN0RcVrJLpl5qnqBd33uj/z9ZmZmXatrZWas1N9nZWZWvFs/3mPF+uPXs8D/uZA9oDukErpmAjguxR5YJzP/1L1UZj5XuUVmzjylybveIXfAsez2HctlZtXMXd71Zwfq5B4ZTr82retvkJmhSX2dtu553dOztsx/Wx9d+rDc49rCTTLzyD59LH1xff36juIXvOu3tqySe+xpKZcZm60vnpbN2SczLXfPk5lEpv9aZObZ/utbM7Mdg5UyMydL91WNxPX165Jyf4eUmVlxlr9n9j96T5d71MT08U6Hd6YAAAAAIADDFAAAAAAEYJgCAAAAgAAMUwAAAAAQgGEKAAAAAAIwTAEAAABAAIYpAAAAAAjAMAUAAAAAAbxtpLE2XWCVuSCN0t6Yf2YbK9OlqFnDEzIzVq7Lvwr3+ou9zMy6Ty6UmSjDnynboguPMyZ1AWtsSGdKduiPTf5Wf0Vk60Uz5R41D+sS3NYLqmWmsahLZj5evkNmXjz1Je9607KT5B6mO5yt9CldGNe/YobM5Hbrx2mk0v+5UNI0LPcYnqXLoAG8vv5h9t3e9RuWfUDukVjvP8fhyNQ6WSIz31lyq8x8ZMP13vWr6l+Ue2wa0q/tY3F9DXZqyR6ZaZpdJTOrRRHxqrztco/7B06RmZ8u+67M3LDpnTLTPFrqXa/JHZB7XHna8zLzm65FMrOpo0ZmMt6uC3cnninzrjeP6Ofvnt5SmfnMnjfLzDfr75SZr3acIzMb+v3P82tqdGH7a8E7UwAAAAAQgGEKAAAAAAIwTAEAAABAAIYpAAAAAAjAMAUAAAAAARimAAAAACAAwxQAAAAABGCYAgAAAIAA3qa20bnlcoPq+3S56tCpdd713C5dZpoxOC4zE3kFMpM5pPdxiXy9z5i/TDfW0iv3GFmqC26Ld0/KTJSpm2dH5lV613P6dTnw8Dz9fMjSnbL25G1LZWbBqQtk5i2L1nvX1zVmyj1Kt8VlJp1C3sIHdbnmvg/rosH8Fv04KFlDide8B3C8+o8fXiAzn/vYFpmZkeUvdo/n6ZL5NDrFcQR6oFef6/cNl8pMT5f/OfRowTy5R+egvi66rH6jzPyw6TSZ+T8n3yUzD/Wd5F2/uf1cuUfbaJHM3LEzjeuMig6Zua5yrXf95lZ9vP/44zfLTF6bfu0fXKGvVxrmtclM5h/yvOvjF+oS55qiQZl5qa1WZr6cd77M3L1hicwsmbvPu35n+3K5x3W1T8nMdHhnCgAAAAACMEwBAAAAQACGKQAAAAAIwDAFAAAAAAEYpgAAAAAgAMMUAAAAAARgmAIAAACAAAxTAAAAABDA28w1MFuXCk7m1ctM0foW7/p4nb9Q1sxsolIX6VY80yMzzRfp4llLo/M0v91fsDZZVSz3iOfoSsaibboYLaNvSGZ6V/qLZxO639byd/fJzP7zKmQmc+6AzCyuaZeZnUP+28rSHzobK9JfTxiaqR+n4cqTZab8JV3A7BL+51X/PH/ZnplZ2fpemQHwyor26heAiUiXZ8ac/6Q6MFd/Lhc/ISM4Aj3e0iAzxbljMrOowX/ttHm3LpR/53J/6ayZWV12l8ysqd8kM1/afInMzC/v9K4/u3aB3GPu8v0y8+GFv5eZh3tOkJlfdL/Bu16Zra+/HrrxKzLztc6zZaYka0Rmtg9XyczD11d7192umXKPz592r8zcE9Pl1Y/smy8z716uT4T37feXQZ9Zs0PucVvbSpm5bprD5Z0pAAAAAAjAMAUAAAAAARimAAAAACAAwxQAAAAABGCYAgAAAIAADFMAAAAAEIBhCgAAAAACMEwBAAAAQABvaW9syF8gmq59V8/xrscG9O24NA6ldFKXLdas1QVrHcsLZKagZdy7vneN3qOkSR/vYKMu/+2vL5OZmb/zFxpPlOkCyaF5pTIz7yf9MpPI9T7tzMzs+ff5nzNmZlUz/CXCw+fq1t7ctYUyU7hfP/nSKT3ua9T3e0IcTtVzE/p2FpfqgwHwiop+oktOT7ryfTLTdN4t3vWOy0flHsU/lhEcgb59yq0ys2PcX5xqZrZ7vNK7PiNPv96mo2WiVGY29Ooi1/NnNcnMysKd3vULL9PlwLNi3TLztV0Xy0wicjLzhVl3e9cvu+djco+HqhfKzAnV7TLTUKjLlZt6dWnvrDr/Pi0dJXKP54f0Ndrqcl2UW1fgvzY1Mzu9YLvMPFfgP54zirbJPeKmH6fp8M4UAAAAAARgmAIAAACAAAxTAAAAABCAYQoAAAAAAjBMAQAAAEAAhikAAAAACMAwBQAAAAABGKYAAAAAIIC3RbTop7q8MDpzmb6Robh3vXd+ttyj+mldTjcyUxfl5rWOyEyURgHr3gtyvOu5nXqPglZdwJoxrot98/dPyky80H+8Y2UxuUdup7+o2Mysa7kuGS7bPCwzC76rPzZRlr/hNrEwV+4R1xGrfLRFZnpW1spMpDt7LXNM7JGpSwb75vE1EuD11Hj9eplZY8u86/NM74Gj0017L5WZqlxdKj8zx19MPxTX106jCf3aXpmtj+XsKl16+lRPg8wsyGvzrv+ma5HcY3u3v8zYLL1C3rNn6VLZ73Sd411/6+qn5B5XlD4nM99qvkBmRuL6sfzzxodkZiCe512P1+triL9/Zo3MfObU+2Wm1XRB8IN9i2Vmeele73rc9POhUF2AeXDVBQAAAAABGKYAAAAAIADDFAAAAAAEYJgCAAAAgAAMUwAAAAAQgGEKAAAAAAIwTAEAAABAAG/zTceHVssNcvoimcnt9vcgZY3KLWxwrr9TyMwsf7/eKJGtS6SyRvR9avxZr3fdTep+qOF63cnUsdTfD2VmVrVe/278eI5/bu6v1x+X2ICevcu26B6vjDHdi9WzWH9sMib8j1Ppdv1x6Viui6YShTrTP1d/bAqa9fMqv83frzVZoB+n2rXhXQkAgNfmuaZ6mfnI6b+Tmc2DM7zr1TkDco+BSf36dX/fSTKzcdssmVm+cLfMPDPQ4F0/v2KL3OOMMt0P1TmRxjVjpu7ObB8v8q43DVbLPdZlN8rM4iLdZ/ln5U/LzFUb3ykzyyv2e9c/X6O7qn5dp7ufarN6Zea08p0yc83jH5KZixdu8q43DenH6azSJpmZDu9MAQAAAEAAhikAAAAACMAwBQAAAAABGKYAAAAAIADDFAAAAAAEYJgCAAAAgAAMUwAAAAAQgGEKAAAAAAK4KJq+SHTle74mW0azB3Q5bV+jv2g0pzuNMtOOuMykY7hKl56OlTmZKdzvv995Hf7yVTOz3gXZMuN0v21ayl8a9q5nDuvyuvGKfJmJsvTHLnNMP5aj5fpjk93v/+BMFOnHergyjbLiIf38TKRxv4dm6UzFRv996lji7dk2M7P8Vn28z978cX0wR7iLMq7VdxTAUefBxO1H9fnpzu1L5bmpdbJU7jOc8L8O5jp9nTGcyJGZnAy9T1VWv8z8qnO5zMwr6PCu52foa5HzC1+Sme64Lu39xz0Xyswppc3e9ZWFukB4IJ4nM9tHdansruEKmbms8gWZUc+boowRucdLY7rEeSwRk5mY09eD6wdmy8zlFc/LjLIw1i4zK+r3vOK5iXemAAAAACAAwxQAAAAABGCYAgAAAIAADFMAAAAAEIBhCgAAAAACMEwBAAAAQACGKQAAAAAIwDAFAAAAAAG8pb0AAAAAgFfGO1MAAAAAEIBhCgAAAAACMEwBAAAAQACGKQAAAAAIwDAFAAAAAAEYpgAAAAAgwH8CfVgPY7pMA4IAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0286 - accuracy: 0.8070"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 33s 134ms/step - loss: 0.0286 - accuracy: 0.8070 - val_loss: 0.0304 - val_accuracy: 0.8001 - lr: 0.0010\n",
      "Epoch 2/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0128 - accuracy: 0.8124"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 29s 125ms/step - loss: 0.0128 - accuracy: 0.8124 - val_loss: 0.0134 - val_accuracy: 0.8125 - lr: 0.0010\n",
      "Epoch 3/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0112 - accuracy: 0.8125"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 134ms/step - loss: 0.0112 - accuracy: 0.8125 - val_loss: 0.0100 - val_accuracy: 0.8115 - lr: 0.0010\n",
      "Epoch 4/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0101 - accuracy: 0.8128"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 134ms/step - loss: 0.0101 - accuracy: 0.8128 - val_loss: 0.0103 - val_accuracy: 0.8127 - lr: 0.0010\n",
      "Epoch 5/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0102 - accuracy: 0.8127"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 132ms/step - loss: 0.0102 - accuracy: 0.8127 - val_loss: 0.0096 - val_accuracy: 0.8127 - lr: 0.0010\n",
      "Epoch 6/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0091 - accuracy: 0.8131"
     ]
    },
    {
     "data": {
      "image/png": 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OYW3rdQju6FwdaDa6o1bXtIbD0yr7dQBb+R59DMYb9UkzcqYOg67fqffN3PvD597WS3Uqsos4x2MCeQc79L6Z0ofJcuLhlKvSIXjdf/5ivSIAwKETETJaVl0VXO4jQmejgmlLFchrZk5sk1vSrsfoH5I1uf4BWeMn9X2G3McR+9fV1MiaookJyp1N6/H6JsxFBCMXQ8zj4IXwzhQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgQTAidP6vR/QAewdlzbOXzw8ur94nh7CqPh3sNbBEBwjX7tP9Yzajw+nafxkOe3vjJ2+RY2wea5U1/3H9K2RNuc4htqHF4W1qeUIHz/Ws0cFpr//wbbLmZxccJ2s2fEgH7nbcFp7zRKM+H+Y/oIOee9ZkZE3FiA57G2+WJdZ5S/gx5yv1+bvjjBIGBOKwtOkTp8uahSfukjWZa1tkTdWjm2VNdl93cHlZXZ0cIyas+stXf0bWfOCKd8qa8jsfkjXATKlQ2ajQ3ohQ1JiwXYsJTo0JsJ0fvu/5ixv1PURftlbWfO+qC2RN7ZN7ZI0fHQsudxX6PqP3zCW6ZpU+Bks+dr+scRk9Hz8+Lmtmk5mE6U4bZOZjBPDOFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACBBMN3LZXXI1d6Xt8maqbpw4NaY1yG5dbsiQlEbdW84VaXX5SOy6Wqf7g0uf2KkXY6Ri9juztdsljW9Yzqk9bjm3cHlg1NVcowbO38sa85/+K2yZs7XdGBc7R36IFT2hgNuG7bp/TvWrNczNlefey27dU1fgyyxvtXhMMLKQf2YXPzzIb0iHNWeeNO/yJqcRYQcflOXfKF3tax5aCAcarmwul+O8bH5n9OTiXj9cM/7R2XNwjsjVoWjV0wIboxiBI0Way4RwamuRt+LZFvqg8tXVobvVczMVmf0fmn63A9kzS8G9LXpz1oeDC5vLx+UYyzLZGTN7aP6BuG9TW+RNav+/nFZM6tCe31MIG/E40CN4/T94EzwzhQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAmCOVNdZ4XzAMzMFt2lM20yo+HsnPE5cgibqon4jviI1rB+25is2XKRzkqo6msJLu+Z2CPHKHf6+/VXzdHj3LzzBFnzyRPCgTBf7jtRjlHrdCbTh1bfJmuu2/wqWTOyUOcKDCwLH6fJ8GlnZmbZiPNqxTf3ypruU1tlzfIb9bnXdWZ4mzJD+hjsObVO1gCl8lfNT+oiUVMWcXEvQiKPmZnd8dKvypo3v/Ttssav13kvQIiPyHaKGGTmY5iZWUQAZ06vq+eE8H1l1vRzcsz14JjMPlkzr2VA1pxeFc6dyzid0ZmJuHd6Tc2wrPnztffJmoe/r+/l3L2PyhopKh8qQkz+U8y6ipEjNYNMNt6ZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACQIhvYOr5yQA/xuhQ4s67glHOQ2Ojc4DTMz23uyDu1a+mMdiuozun9ceE9W1ky9OxwId//WY+QY606/Ttasves9suac1RtlzYWP/bfg8qVzeuQYu+c8LGsGcjrwuDajzyuLCDSu7gmfV5kRHeLWdaE+1vXbwwHNZmY5fQqbZfU2tT00GVzuy/U2uajJ4Eg2eNlpomJ9UdZz6qfeJ2vGTtFhlH994u3B5Vc2bo2e00w1lFXKGp+JCDDFUcuVRQSIziAg9PeiAnlLd66WNTfJmqnX9gaXN7jwc6CZWbnLyJqv7DlL1ryoYbus2TY5Ely+snKXHOPESn1vWhWxTW9q1qG9j0y+SNb4YgXuFkOp5lKMx1sA70wBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEgTTPdtv0+Gflf1TsmZwcXicBb8Mh7jlNcuKyQY9310v0wF25eM6cO+khvCcP7Hq+3KMf+s7RdbYXh2KvK7/xXqcbHibukfa5BDndXbKmkxGh+D+6rQvyZo3Xf6nsuapq5YHly/9cThsz8xsxTf06wm9K3SYXmZUB891ra2VNbU7wuO0bNDb1JSbRYF8OCT6l5XmdbKO63WY7tT/0cGYNy0MB03+sPPs6DmFXPudr8iaNZW8xoiZ8VHXYP1cqbjyiEDemADhiPmWtTTJmuwCfZ/2vtW3BZevyOh7nq1To7LmV7fq+6Itd6+SNWUT4WDkyQZ9f7D5Ur1/v7X2y7KmqSziOD2lr8nyzHMR50yxwnZj1hU1jrhuRwVcp+NZAwAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJAgmHLbv1T3WnU7dWCZF7lyfcc1yjEm62WJDS3UAXYT83RQ3pJb9LrW1xwbXP6Pp+uA1m29TbIm1zwpa1rvrpQ1XuSi9Zw1LsfIPFsja9ac+bSsOec3b5E1Y1e2ypqWJ8KhcQPL9HyHFulzvEznUlvtPn1eNWzR4XRznh0LLt9+dp0cY8nN/bIGRzb1eM84fa2cLGH289TOXeECtTzSmNfB7jGvMI61VssaXQGEORW4GxHI62JCUcsjakbDz01mZmV9w7Lmow9cFFx+xlmfl2N8p+9lsmbpD7pljd+sA8VVMHKmVt9nrBhaKGt+e3qHrDmmcp+syS1fLGvco+HQYz85Iccompjw36gQ4YMbyqvwzhQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgQTDBsPFZHYJVty0c/mVmNjknHOyby+iervFZWWIup8O/Vnxbh+BuPV/HLVb2hUPERiZ1kG5Tnd53876qw38nG/R2u2y4pmJHlRyj9RG9nmMv3C1rYsz7022y5sGvnxRcPmezDtJteWCvrHn2svmyxkeEHnafp0MPx+8PBwC2bNDb1HWuDsHGkc2Jh+qk1+dRzg5tCOLBkDX9OM2Z3jfbLtVJ3itvjpoS8IK8uKdx6oFuZt4iarL6nHdTEen1m0dkSe3j4QDbwTPD94tmZptH5+q5bNspS/z4uK4Rob0xYcb6btCsukzfm55S1aMH+uc+WeLPEcc7KiS3SGG7MVwR3vfJ6XN8JvPlnSkAAAAASEAzBQAAAAAJaKYAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABIEc6b6lutea6StbsaTqNmn80z6Vuq5dP64V9ZMzdEZUp236vynp64M7jq7sE0HYzWU63yCGzvXyprBY2SJrfpSOHOhsr9VjrHtXJ2W8PNdK2VNR0OfrPn17g5ZM9YazgSo6Rb5EGa2/SKdIZWt1nkKAx16Xcuu0+MMLQ4/Fhof0jleU9ULZA0AYHZzIuMoKh+qLCYzSN+DRUTTyfmamU00hp8H1+iYKXvn/DtkzT+0/JmscRH7z0+E85/85IQeY1zXbJ9okTVWp+8rByd0ZmiDOq8mIw52jJgsqigRmYfFWNcMxuCdKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAECCYPJsfZcOsOp+kV5J41Ph5f1LdU8XkW9r+05ukjUuIvtrZKEOuXOD4YFe17hejvHhZy6RNb5Cz2XhvVOypvuMhcHlczbpoOJ5D+s0vSWv0MHJMfr6dBh05/3hILz+Y/R8XURGW/mYPgZ1u/WJNbJQh+lNVYfXtfvs8HE0M6scKFZQHg5XtTvD58DPRmvlGGtrhoo1HQD7iQm4jQnT1UMU5/kgar4RNbW7ws9xPTkdcPuTgZfJmuzcBlnjdu2RNcXgR/X91cJMn6zJOH2vvGtjm6ypn9Lhv7NKTJiuE/dpxRgjgHemAAAAACABzRQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAmCob0WkXFVtnhE1owOiADWiPVUDOqa8gk90MAy3T9W6E2y+feFl79rw7vlGH1njOv19OjQvp1v0CF3i74VDrDddYYOyW3/hT4IL23cImuWVe6VNQ8+2ylrelZXBpfP2arDjLNVMeeDPgb9y8IPJTOzsbmyxKr3hZdPNOoxchHZijiytXz93uDyT294gxzjXe/U5/SxQ4dZ+CNQAq5Mh3+6cv3c47OqQhZEzUWvJy7810XMZ9ENm4LL3/zUVXouFXqb6ndtlzXWpJ9Qs929ehzBZ/U9xPFVXbKm3lXJGjcZETyrwn9jTohSignTlYHGMw/ADuGdKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAECCYCpj2ZQOaWu5uUbW5DLhcebdtUOO8cwV7bKm4vweWdP2BR3SNnCMDqt0YtdM1eqQsYU3h0Nnzcwm6vQ4U6N6vsrYPH2s+1bpYN/1/Tpst6NVH6eWpmFZU7UjvP+2X6JDe+seq5Y1FSP6NYdJvWuseaMOjascDNfU/fJJOcboaav0ZHB0u+9RWbJSBJObxUSGzi7lEQnxZbzGiBmKCbj1E5PFWJGucRldUhFxzkesK2a7s/vCz//Vd0SE5EasJ5eJuC8q1wn3Pluaq9yDo8tkzalVOiS94yR9Py2V6f0Sde55fZyiAnljxMxHkcG/L4xnDQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAECCYKrZeKMO0+p9sQ40W/Sz8DjDx7bJMeq2yxLzW+bqcZ7cKWt2nrFQ1iy4szu4fOCYeXIMH5FVNtShi1Z+VYf/ZWvCAXaLb5+QY4zM1+F/WwaaZc268uNlzeuWPCJrvr3q7ODyVZ/Xwb9bLtKhvYt+PiBretc0yJrhdv3axVRP+HhXH6tDkfuXzjzEGTgSZU1fT3OHXRQxDkeubOZhpT7mVC1S2G5cQPDMw3/9RMRGRawnKmy3WMGzgivX8y1zei65iNDxKzrukTX/nlkeXO7Hx+UY+P/xzhQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgQTDds2G7Dj1zuXJZkxmeCi8f0IGxlU16PWNzdW+YbayTNRNt4fmamXWdFw7lXXLjbjlG70t1sG+2Roe0ZbbulTUjp3cEl3cfr/fv+Fx9Prx10eOyZtuYDvZ9qD88XzOzqr7wvhlcVi/HmPtbvU1PX67HWfITfQ7P2axD+cbnhoORJ5qq5BgLbtfnHgDg0IkKlS3GeooVyFskcj5FCP6Nn0zEvnEiXDlivtmXrJY1b2y4Q9bkLHx/YGb27zv+SNb4yV2y5mg0kyBt3pkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACBBMGeq+4TgYjMzy+mvvVersfFmPcjofJ0rsPyGYVkz1ahzepp/o7d7ZEF4+ca/0hlS89br77Qvm5Ql1vfyJbKm59LwvnGPNOi5TOj5vqR2s6zZMjpX1jxy70pZk5kbns94s55v09P6vOq8RR+EiSZ9znR36Cyv9p/3BJf3nKgzukbntskaAMAhFJOnNJsUKf/JlYvnwYj1+JiIrpgsqjL9nOwy4rk9Ii/MTem5ZCK2ezCn8yx3/ahT1iwoD2eT+lxpMtBmm6hMthdwmD2aAQAAAGB2oJkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACBBMI1syQ/3yAEGTtABrGMt4Z6tXOeQWctvdQDrrtPrZM2cLTqMrLpHB3e1PjoaXL7lvTqkbay5XtYsuF8Hxu45WYceN90Y3jeVg1NyjIFjdDDttc9cIGve1nm3rFl/7GJZM/Zg+Nxrvyd8jMzM9rykRtaMN1bKmtFWfX5W9erzauO75gSXz/+lHqN/Oa+RAMCsFhMqWwyzLBxYBaOWVcaE9pYuVNZPiBtUr5+Ty5/cImt2RGxTZ4W+F+k/Ud9QL5AVEZy+5ympQ3yez65HGQAAAAAcJmimAAAAACABzRQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIEExh3fCBZjlAx806sKxiNFzT+pshOcamS3TA7WSTDp5t2K77x91/JEtssi4c9jrnP/UYw+26Zu+JOpB3fK4O/6t+ILxvpmrL9XoaZYk9/KIfypo3b36VrGmsGZM1TfeOB5fvOEMH8tbt0OfveJMOp2t8Vh+DiTo9TtOj4WDk2j06kC8zrI8lcDQqN/14L4t4jfEdJ+vg8TtMh8jjKBYTMlqEYF9Xpp93fK40c4kZJzcefl4vqphtigjllUMUKZA3xvHLu2TNlDonihXIW6JzvKjjJOKdKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAECCYELo3PvCAaJmZsPz9Uqang4HjfpyHRDW+hsdnJar0L1hNiIXbfn3R2XN0JJwIOzgYj2Xpd/YIms2vbVT1lTv0evqWRPe8OYnJ+UYx1y/V9bcdoUOGZ6T0YG8p7RvljU/qjw3uLyyXw5hrffskjUbr2qTNdma4gTlTtWq81yfwGOtRZkKcMTJmn6uyZkO2Hx/yxOy5g47NWpOOErFhIyq0NPDMfC0CCG4UWKCZ6NCZfX1QIoI7e3Phe+Tzcway/Tz/xktm2TNL6wpXBCzX0qpGPMpxuMtYJbtMQAAAAA4PNBMAQAAAEACmikAAAAASEAzBQAAAAAJaKYAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQIJjK27JRh9dO1utg35EF4SDX3tVVcozx+VOyZsV3dPDsYIde19OXV8uaJT8Jh7CNtenAuCf+vl3WdN6ot2m8SQfG7ntJeD4LPvOgHOOpa06XNdduvkDWbNqiQ3CbTh6RNWUT4RC2mu6IkLZeney76ut1smaiSZ9XI/N1oLETeYaZYR3+Vz5RnABhAMDs5cojrvVRQaQRwbRRAbcxwagRYbqlmkuuCIG8EVy9vod4YqJB1qzODMiaxZXdETNqiqgRShr0XITA3YMcRMw7UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAEwcTdgaU6vLa6W4eeOVHSfs+EHGNgiQ489WU62Hdwie4ffUaP48vDwXP1W3Uw3dQ+vU3dJ8gSW/CADld2Phwqu/s9Z8gxGp8WibJmdvr5z8qas9uelDXrdh8razZfEg4s7PipDnrbd/FqWZPTudRRAcHqnDEzy4p1jbTpyTRsK00QIQAgURGCZ32uSIG8xVKsMN1SjBFLhQzHbHNWz7drqlnWnFI1Imu2TrTKmrLa2uDybL8OBz7sFCP4N4B3pgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAEACmikAAAAASBAMrandNSkHGG3TWUnlE+F8ot6VlXKMiTmyxDLDepyKYT1O7Rad5dO7Krx87mM6O6tiWOdZ9a6ukTXjTfoYjM4N982Dy/V38Dc/pnOSfnbty2XNJf9rnazZ8sRCWbPixvHg8oFOnZOWC0dVmZnZeJPe7tZ/XS9ruv/ny2RN7W6d5aXUb4k4yYGj0NX//UpZc9mXfyJrPvfkWlmzwDZEzQlHJ1emn1dUjlTcGDN/ToleVzYi08oXZz5FoTKkiiQ3ovOhvnnZ+bIm+52fyprv/durZU17//3hgphMppjjWKz9W4z8shlkSMXgnSkAAAAASEAzBQAAAAAJaKYAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAAucDwVsn3fy3MpVr3sd0UO7Iotrg8qlqHew10qb7PheRMzYVnoqZmZWP6ZqqPrFrIrLKBpfooqWfeUzWPHn1cbKmZnd4/1X16gC2cp1DbOXjepyxFn0sx1v0ukwc7/Z79IHcfYoO9q3u1ttUv0MHXA+8e0DWNFzXGFzeu1oHNC+8Z1DW3Hb/35UmrfAgOrfs0lmU/gigWNblbjisr0/nVlzGtemFFCNcNSZUtlgOctjrH1YTccqXlxdlXX5yqijj6BXp4+SKtU1FCqdW1k1993kPFO9MAQAAAEACmikAAAAASEAzBQAAAAAJaKYAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABIEQ3sBAAAAAM+Pd6YAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAgv8H3Pac+FuI90kAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 29s 123ms/step - loss: 0.0091 - accuracy: 0.8131 - val_loss: 0.0097 - val_accuracy: 0.8125 - lr: 0.0010\n",
      "Epoch 7/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0090 - accuracy: 0.8131"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 30s 128ms/step - loss: 0.0090 - accuracy: 0.8131 - val_loss: 0.0090 - val_accuracy: 0.8131 - lr: 0.0010\n",
      "Epoch 8/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0087 - accuracy: 0.8132"
     ]
    },
    {
     "data": {
      "image/png": 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AAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAASBEN7G5/UIVhtxwenMDOzpsdHguP90/QcZf06HbL6sc2ypnH6AlljprdV8le7g+Obu6bIOb5471/opSzskyUfXPqgrLlx4+uC47XzuuQcYw9MljXZCllikzfo46r9uHAgr5nZWDgL2joX6ADhKc9EhAyO6uOhcq8Oyivp1TWD06uD47uX6/C6mmn6mMGR7dlrJwXHv16nA8OXrNRhlNlO8SI0s8cu+pqsqc2ETxzTPrZRztG3QpYAxRETgns4KVCwb2ZSg6zZeMOM4Hi2t0POseznV8ua0uYBWfODZd+TNbuzTcHx+jodpFuxXYfB+gG93kKFK8t5Irbj9aWI2Zi+dvLDBQgZNpP7nSnXAc2WSb+/xJ0pAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQIJgWm7nAh2mW66zXq1m/Z7g+GjNNDnHntfovm+oTgfyjlbr8LS+Vh005jprg+OTb6vRa3nzoKwpeya8HTOz75ecImumNfQExzdtbZRztGzWQW4DU/Xz1Nesj6uRWv08Td4QDnvb/nod0tb8mH6uh+r1PnUsqpI15d06RDhbGd7vxkf0entn6uBEe6suwcQ10h0OwX3HP31CzrHgOzoMPMaZLZfLmrtP+k5wvKFcnysHKvXra2xQzwNMGAUK242ap6RE14yOypKZN4S/L5f8QYfOH+ufkTVuymRZc+V5Opj8b68Kp4EPj+rrGbdjh6zR39kjxTzfvgBbc/oaLWqamOMqghcBwT4b8bjE1OwHd6YAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACZwPhHe9ednnZbJXx5I6uZG214WnKe/QPd2c27plzWCzDk7tmqeDXMt6daDZcEM4sKy0T89Rsysra3aeogPNarfKEhu5oDM4fuGctXKO31x3uqwZEo+Lmdn0h3plTftSHXrsxaam3f6CnGPrZfNlTcsD4cBjM7NMrw4D3bNcByOXDoSPm9rtQ3KOst368f3PtV8oTOLeIXRu5tKC5RzilZOprpY1M+8OH443zLxXzvHmD14ha8rvWC1rcOjdNbZiQp+fzi19pz43FSJMN2aOAilUuKriI4J/CyUTEfQ9c2V4vz/UpM9N/7D8AlmT3b1H1hRMIUJ7YxQo2Ldg4dQFcFf2ppfdKe5MAQAAAEACmikAAAAASEAzBQAAAAAJaKYAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQoDQ0uOEva+UEUx/XG2l8LPy75vun6zl65uncoRgqx8fMrKJH/776qnaRndU9Er2mkLpNOttBZV6ZmX1qyZ3B8XUDM+QctVuHZU3/9ApZ8+J5+rjK6E3ZlPXhnK4XPqgzpOb+dIes2Xpxi6yp3q2Pz6HJ+nmq2RHO2Oiaq3MxKqaUyxqgWAbPPE7W3DDzW0VYCVAcLqPP9X5sYr2X7ccisolisn6KlXEUwVXpbNLPtdwSHB9UgZdmZlmdKRqVpTQWM0+RItqKmSFVpHliXrf7M7FezQAAAABwmKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgQTC0t/553WvVbtfpqsMNwc1YeaecwjLhLFMzMxup0YFbJcM6MK5kSAfPjVaFH5v2Y3W46milXu9gk15vzOP3kx3LguNnN66Xc1Ru7pA1g+c3y5p5vxiUNb2z9OO36+TwczDj9zo4uf3UabKmdrs+Hmq2Dcma3pk6INCJYMS6iODkkv6IFwtQJH3Twuf/GP+yd6msqX5qu6zhlYFiiAq4LUQAa0wAbqHCVSdYIG/MfvcvXyhrKsU8N3cfL+fItnfKmqjj4XBSsOc64rgqhIhQ36jX7X5wZwoAAAAAEtBMAQAAAEACmikAAAAASEAzBQAAAAAJaKYAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQIJimOPUpHUTaM7tc1pT3hkO5Bht1T9c7R9eMlckSy+jMU5v+UESYbkN4PTEBwlV7IgLCMnqe7uP1TmVceFs3PHGmnKPl+ApZM/1BvU/bX18tayr36nlqtoQfm8pdA3qOx9pkzfa3zZc13unHZqRO71PPrPBBXKJfkjZcr9cCFMuU97140HOs7pwta0a36dBeoChiAm4LEaYbM0dEWGncemPeey9SsG/EfpfOaJE1o1fvkjVqr79563lyjvl+layJUrDnuwABwTFrKWaIs9rvgh3jL487UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAEwdDeHafp8M/We/plzcC08DwVHTrYq2nNqKzpWKxTeyc/NyJrBqYGHxYzM6vsCgeA1ezW+7T7tXo7QwsHZc33z/g/sube3mOD408+rUMxd56qe++GZ2WJifxgMzPrnaVrWu8LhxUPNVbpSRr1huq262Ov7Tj9XNa+qHd8cGo4CK9+kw6eK++WJUBBZE5YKms+O/dHB72deTV7Zc1j558sa6pWbZA12c6uqDUBByUm0LQQwb4xYaXFnEftU0RwaqaqUta88P65subhY78ia0Z8eL3VO/RzVNLcJGvGYs472QKE7ZqZF/sUdWwW6/iNpY7PQoVX7wd3pgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAEACmikAAAAASEAzBQAAAAAJgkmjLiIfbOvZ1bLGiRysqj06/Ku3VYeiVu/WgVs9EfP0z9BBY6W9JcHxsl69T5PX6/W2Vevg5JvbdVjl9oGG4Pj0uToUsyyj17u1eYqsKd1ZLmtGa/W2dr0uPE9MeO1oRK6vOn7NzKau0y+W0Qp9XE3/1QvB8W2XzpdzlHdFhOkBBTAyWYdnLqs4+OPx2umP6KLv6prXPPg+WTPrSzrA3B5+UtcAIcUMNC0AVxK+5jEzs4gaV66//yuZqZNlzfBx/bJmJCKkdVDUfPLKn8o51n1ghqy5ce1Jsqbufn3BMuPnG2XN6M5d4YIJdmxGiQnkjQn23Q/uTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAENFMAAAAAkCAYulTWqyeIyXbqXBju2cq7dQ5JNiKjp3OR7g1Ha/W2RutHZU3l9nBeVd9c/biUt+v1lvbp/a4tGZI1Fzc9Hhy/rvNsOcdb5z4hay47do2suan7tbLmp984R9bUbQs/T2Nl+rGr2jEoa9pfpbPUBqbq5zIzIktkjlRMfllFd0SeAlAApZ363POO58+XNX8367bg+KvLIzJuIvxh+fdlzQe+9iZZ035+vazJdkcE3QGHg4h8HVehMy8zdbV6WxUiZyoi42hskt5O63/oPKtfnjhX1hxfsTU43lSiX+eXNG6TNf/zrMdlzYbTh2XNxzZ8VNaUqZwpX6CsykLlVcXkP6kcqULMEcCdKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAEAC5wPhXCd85CsyuctHhHL1LAgHYc24VwdlVbbpsLIt5+pw1boXdBhZ6aCu6Zkd7kNH6vQc0x7Oypr+Jh1WOVqln4OS4fB6+lr1HBde8qCsmV3RLmuOqdgua37bc5ys+d31y4PjNTt0+PLmi/V+T79Xv+cwUqPniamp3R4+Jqr26OTf9mN1uOLjN1xdoDS9Q+fczKUFShbEIbfs+ODw7pPq5BTnXK7PT1+Ytjp6ScF52sLrNTN7+K2LguOjL2wuyFqORHeNrZjQ56dzSy4ryLnJlYS///usvoaI21BEaG8m4imJmafk4N/D96P6e3vMWjIN+rziKiuD433Hz5BzVFyzQ9bcuPgmWVOb0d/br+8In3fMzH5z2szgeLa3T84RFXAbE5RbLAVa712jN77sC+Ew2lMAAAAAmDhopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAEACmikAAAAASFAaGpy8QQfldiwq1xvpDfdsHcdE9HSLg0s1M7OaLTonr+0kHdw16Wm9nsq94W1V7ZZTmEVk4NVu1yGtm96m19tyT7im7iEdgvfo/SfKmvuu7pI1Z7dskDXLa5+TNbdOOy043vy7XXKO6hPC4XVmZnUv9suabWfqwOgZ9+l5uudXBcezlTrEOaMPGeDw8vCTweHmh/UUa1c0yZpvr5wraz7csEnWfKYxvF4zs0sqdfA4jmKFCDQ9nEJRzaKCUceGCvANyhcmrz3b3hmxrfA+VWzdJqfI3B0O/jUze/ut75Q1ty/5may5rP4JWXPnouXhgjXPyDmiFCrYN2aeQ7ydw+yVCAAAAAATA80UAAAAACSgmQIAAACABDRTAAAAAJCAZgoAAAAAEtBMAQAAAEACmikAAAAASEAzBQAAAAAJgkm4XfN0IO/UpwZkTd+scBBpaZ9Orx1ukCXmIvK2ajbr0NPJ64ciNhYe7lygH7tsud7vvUv1PGXtOsBuYIrYVkQGXtsJOjj5Xa3rZE1reYesebB3oazxr+sOjj9b3yrnqH1R7/hwQ5msab1XB/LuPEUH+05f1Rccbz9Oz1HeU5hAQ2Aiye7ZI2t2j9QXYSVAgcig0WxhthMRVurHivTee4ECec3p66uiOWaeLPnigh/Imgqnr0XGTF+/dh1TFxyftDZiO0MR18kxChHIa3bIQ7C5MwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIEExhbb6/TU6w9S1NssaNhsf7WnVIW+MTuqa3VfeGU54RizGTgbxmZqPV4fDfqU/qENddp9TopUTkmfmIlriiOzzRaKXe6daTtsuazzetlTX/3t0sazb3T5E1lb8NB89NX7lXzvHs+6bKmpJBHVbcM1PXeJ0XbZ2Lw6G8YxFzVLaN6CJgAilZqEMv1390mqz54ZR/jdhapaz4SY/elusOB3DjCBYR/uky+nuuz4ZDeQsxR7RChaseRlyJ/obqxcNXUqev48a+2i1rllXooNwhr7+3v3fdX8qayb9eHxzPDg7KOaJCkWMCmAsVrnyIj0/uTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAENFMAAAAAkIBmCgAAAAASBJNGd5/RKCcY01mlNmVdOEyrc4Hu6eo26QDE9qU6PK1rnl7waI2u6ZsdDv+d9JReS+VeHWhWOqRr+mbrmu63hh+/+mod0vb21sdkzYdePEPW/G7dMbKmZn2FrKkSj03byTqQt36jLLHBJh0qV7tFB8b1t+h5SgfD+1S9Swcwtr1GP3bA4aTrPacGx99wzSo5xy+bb47YUmECef/jXefJGr9NB5jj6OXHIgJNizBHtAIFEStRIcMRYbAxgbxu6QJZs+ONk4Pjp757jZzj31p/JWt2Z/U12Cl3XSVrjr0qHMhrZpbt6ZE1Ukwg71GEO1MAAAAAkIBmCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACQIBiqN1OjMgOFJ+nfND3WE56ndpufY9Gc6t2n6QzqfoGemzh6o3aLX07QmnCvUP03PMVyvH9/eiJrfXvwlWfPA4Jzg+K/3Hi/neKJ3pqy5/8V5sqZyk85Bqn9B5zZ1iXyy2bd3yjmef0eDrGldOSJr9i4tkzWT1+t9qt45HBzPVuj3P7LlsgQoiB1XnyZrvv6Rb8maV5XfHxxvyOh8qBinrXmXrJn6Of1a9mvIkML+xeQtFS0jKiIfKmqaiNymGDJHKmK9mWp9Pug971Wy5htfuU7WLCw9+Meva0xfQ5zx42tkzZKvPi9rsr29UWs64qjcK3fwGWgh3JkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJAiG9tZu1yGjmRHdj42JDMTaHaNyjtqtOpDXR4SrVe3V+7T9jTpMr35DOBm1frNeb+m798iaY+o6Zc35q66UNXMb24Pjs2s75Bz3b50va+b//ZCs2XZunawpGdHPwbTV4YDbzRdOknO03K+Pva55wZeJmZnVbot4rYzqfdp6djjQeNoj+riq36TXAig7P64DeVd+/MuypjajQ7rNDj6U99gVH5E1iz7xmKzxI+HzCqBEBfL6iPO0CrAtxByFFLEeGWgcEQ68+z2vljVXXb1C1kzJ6O//IxZeT9eY/p589godyLvg06tkTVYF0x7NXuFQXoU7UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAEwTTSjkW615q8QQeWlXeHa9qPDQfgmpmV9ekgt4j8tajg1Nm/1jUVbX3B8S3n1cg5RtY2y5ovve1mWbOyboms2To0OTj+m+cXyzmaflYla/aedPAhzmZmu5bpeVrvDh9XFZ16O+1LdCBv9S59PHTP0+t1EfmK9RvD2+pvLMzrAFBKz26TNXGBvAfvmJt1IO/ia1bLGj/KiwNFEBOmWwgRgbwyJNeKGDIcMY+LCF8drdE1l9RukTVlpq89nxsNr/fSh66Ucyz+/NOyhkDeiY07UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAEwcTSqesiAnm7dAhif3M4pbW8W4eVlQ7pmt6Zujec/sCArCkZ0vs9UhcOe6vdrNc7NFmv9yd7l8uaJ9pnyJq9K1uC46Undss5Bqfo9ZYMyhKrbNePTXmPnqftNeHnoLRXz1GqDwfrb9YBgRUdep8anh+WNbtfFw5BrdyrtzM4Sa8XUAZWNeqiE3XJnQM6wPz6d/xFcHzRmkfkHH5Mn7eBCaUA4b9+7OCDdKPnsYjXYAH2qeXeLlmz8sqpsuamPctkzYZvLwmOz1urLzSyvX2yxiLCio1g31dWTOj0fnBnCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACSgmQIAAACABDRTAAAAAJDA+UAI2Cnv/VeZEOYj2rGqtnCQW8/MYHawmZllRvR2Sgd1oNlAo15w7xw9z6w7wwGsO67QAa32ZJ2uichxq2zTNb4kPF7eFfHYTdOL6Z2rQ5wnPa2f78p2HeyXGQmvua9F7LSZ9czX22lYr/c75vis7NTbypaFt9XwjE4z7ptXK2vuv/maCZ/se27mUhIMgSPQXWMrJvT56dySy468c9NBBJr+6TThp9aVl8s5Mg31ssbX6bBw29shS8a6dSivXEu2QGHGEy20NyaIeIK5K3vTy+4Ud6YAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACYLpqWV9ESFiEdqPKQuOZyLyzLoW6bCy+Z9aJWuGrlguayrbdNDYtrPCwXILPtul1zJTh9O1HV8ha6asG5I13XPC2+qZq/d5sEUH8rbco/vzrvmyxCY9pw+KntZw+G9MEPGsO/R2Bqfq8N9dp+vXStMqPU/V3vB6Oo/TQc+VHREvKADAxFbUENfCXA/6sfA1gh/U1zNjg3v0hnZF1MQE5SoRYcYqqNjMzI9GPJcxIbgxx4SaZ6KFAxfKQQRTc2cKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACABzRQAAAAAJKCZAgAAAIAEwaCe/iadizMWjpAyM7OyvvDvrB9u0L87f+bdOuPo2a+fImtafq9/f37D88OyZsfp4fynPac3yTl6Z+r9nrZ6RNb0tegnISMevsqISIbKveFcJzOzrnl6noaNOtuhb1rEthaFx6et1tvpmaW3M1qtn6fp98oSq+jWx/DgpPBrrm+Gfv+jdPAozYgAgIkiJtNG5SDF5A7FKGaukNynIr7HX4jnICKryhcq+rEQGVIx8xQqzypGofbpEOPOFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABLQTAEAAABAApopAAAAAEhAMwUAAAAACWimAAAAACBBMLHU6SwyKxnUNaM14cCtkRo9x66TdTBtzYt6Hp/RO1W5+jlZM6l5SXC8NyJcderTOslt1zK932XdssTKu8LBaLU79Fral+gQ59EaHcA2WqED2PpbdE31roPfTvdCWWKNa/Qx09+sn+/RKr2ezmPC402P6bXUP90hawAAr5BChMHGzlOQ7RQxFFXtU6Eel0LNU4j1xijqc1CAbRVqvRl9XRmlUM9DIu5MAQAAAEACmikAAAAASEAzBQAAAAAJaKYAAAAAIAHNFAAAAAAkoJkCAAAAgAQ0UwAAAACQgGYKAAAAABI473XIKgAAAADgT3FnCgAAAAAS0EwBAAAAQAKaKQAAAABIQDMFAAAAAAlopgAAAAAgAc0UAAAAACT4f5I7tERVG3U5AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 134ms/step - loss: 0.0087 - accuracy: 0.8132 - val_loss: 0.0092 - val_accuracy: 0.8123 - lr: 0.0010\n",
      "Epoch 9/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0088 - accuracy: 0.8131"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Jsubc6UtlzXdPPSE43vy0Dmiu3K7P30y1DpVL6cNkdet0OHX5pp5wQXunnGNS3xS9GGAv0vaxcChvkkDeUdu9oYxjfXbS72TN4Td9JDg++0N6DuzHkgTPqgDbfTHUVz0ml+Q1/gTP9QTzlDSF7+PMzNZ8+LDg+Hfed5ucY66+FbE+r+8Z61PhAGEzs3tm3StrDv+nDwfH53xkm5zDZwp0vU0SppvonCjAHOMI9uWdKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAECEYMrtSLWeoLJd19RsDCeaukMOlnPULu+QNVtOmShrGlbqdNXhBh3+2zs1XDNSJaewym06cK/tBB3SVnJkt6xpTIcfd+9AhV7LxgmyZuITOp0uc6EOnj2rSYf2vv6IlcHx7i+1yDl659TLmoGJOrR34rM6rLh0oz6HrST8+kb3abPkFKNlOvwPUJIEWq5//+GyZua5OpR94aG3iAp9fXopo6/tf/Ol62XN/AuXy5pvz3hQ1tz55m8Gx2+yI+UcOMAVIpRXheQm3U6SeZIQ4akldTVyCj9dB9NvOl3fr1x4+SJZ840JPwmOlyfYL+9dc4Gs2fhV/bP9whseljXXNa6QNTeccn9w/CcVM+Ucvm9E1hRMIYJ9d3M4MO9MAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACIEk2fr12b0DAnC3nqmh4Nnhxqb5BxVmwZlTe0Gvd6eGToE1yXI9iodCD/ukTod5HbClX+QNRv6G2RN245aWXNE0+bgeG8mLedYsnKOrKneoo/BYJmuuXXZGbLmdVPWBcc3JAjkrV2hA49HyxpkjU8Q3DdykD7PByaHw0lr739WzjF84nxZgwPbwAXHyZp33hQOdjQzu6xeh9cmo6/LygV36kDeabc8KWuWD52oN/YPhXrcQID6uVKIUN+9TP9Js2XN9bffJWten26XNSWmf26nXfja1D2qw8Jf/LF+TJN/tETWfO3002XN+895RtaUu/A9mB8cknMU9dxLFDwtbtzHEcibBO9MAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQIZgzNVxXIidIkv/UsCr8/e/bjwxn65iZlQwnyCFJ8LX36W4dIpXu1DlIvdPC6+mfmpVzLO1qlTXbemtkzbQJnbImnQo/phV9LXKOTNOIrBGbMTOznqf0tk4574+y5qEVhwfHZyQ4jsMt1bKmvEcfywRxFTaa1s+n/mbx+sY5R8k5ah9frReDA9qMf1wuay6rX7v7F1JAbzhX5/at+szuX8fLrvjpB4LjM+3pIq0E+6xCZPnsZVlUJXXhe5rOK/vkHCemO2TNjgSPe1NW31eWW/ie8YmBuXKOQqlaWyZrKpy+z/hh22vDBX5b0iXtO1QOldm4sqh4ZwoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQIRzaW62TSAfnVcqadE84PK12gw5FHazXQWRDjXq9rU/pQLj2+TrIdaQ2vK2Tj10m53h+22RZM6tpu6zpvmmarFl48vTgeLpT77uqBLnJo6U62HfyaRtkTWu6R29rJHxO9E3VAXdlAzrIzSXI7C1b3y5rBmdPkjU1m8IbcxkdRNh7yqGyBvu5hw8KDv+/6ffJKbpHdej1MQ/9vaw56Kf62q14l+D6tHkgwUzPyYpLr3hY1qQSvA6Zbue1SoyTOu+TBPImeO4kkmRbKf1cbz9/XnD8lwtuSbAY/dz62EsXyprea/U9WKo/fE+TrUvLOaYu0/eDo1l9o3H8+fr6lXb6vmfNg4cExw+2fTC0V52fSZ4HSYJ9XwVXewAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAECEYGhvf6sOuapfrUOuvGjZdkzSPV3Di8N6Lat06NmW42pkzcQ/Dcqals+uCY6fWL9KzvHslqmypu0b4XA1M7OBuXr/zbxjZXA8e0irnGOkLkFqbwKjXp9X24ZrZc0h/x0OaRup1efmYIPedyUjOqxw2xkHy5rGpTowumda+PxM98SHyuHAccOMB4LjI15fK29rf62sOex9SxKvaW9Q0tQoaxpLV8iaUdPPw4M+92SiNeEAVYgw3URBpAnCdgskVa4DYy+47tfB8ZaSKjnHwwM6KHfHRybKGnvuT7JEPdOTHEV9tTUrqauTNde0/krWbM/qsPXp92wOjmczeo6iKkRg9DgCeZPgnSkAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABAhGBob/OzI3KC/pbgFLmNDIYDtyY+NyDn6JlRIWtSWR0YN+UXbbJm/UU6wDazoz44/kDmCDnHgtYNsuaRk3V47cy7daCxq6oMjnceXi3nqOhKEIr8OhGcZmYn17bLmhXdLbKm76BwiPBQvY7Ta1qm913fFH1e1WzQ8/Qcqvdx3/TwmktWFiDoEUjgHQ2/lzV3/fdHZM2hX9KBi+7JZxOtabzWv/9wWXNZ/YNFWAkOeMUK0y1isK+r1oG7B5WvDI6Pml7LgnSXrNl8mg7onrxK/0we7e+XNZLT71tsfs9rZM2s0odkzT+2vUHWjL60UdbsVRKdwwUI5R3H84B3pgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARgom72Qrda018XIfgvnhFOAS3vEeHotauG5I1LqNDuzqO02Gwrb/VIcLrayYHxxtPDwfTmZkNZXXgcfO0TlnTc70ssR2PTw2OZ2p0WFntwzq0NzNdBz0PJAhXfumZKbJm2qbwtsr69f7tnqHXYgny4tqOT8ua+lX6/GxZnAmOV27eIecYbNHBidi/XfPFq4Ljf3flL+UcH5mwQtYsPe0/Zc2yE/R5/+6vfzw4PmWRPu/L1uifRe9+z0JZk8RRT1wua6bbnwqyLeyDChXImySsVCniWrKd3bLmttsvCY5Pu+7rco5j0sOy5qFP3iJrvnfVPFnzzW+cGxxvfnZQzpEa1vdO1119t6wZ8uH7AzOzx/7rdbKmJfOUrCmaQpzjSSR5HoxjLbwzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABOcD371+8sW3yC9m728ukRup2hr+jv2+KXqOSY/pvCU3rDOOeudPlDUlQzoXZaQmvOayPp0r0PZ6nXH0mje+IGsunfR7WVNi4UP5x/7pco7nu3X205rORlnT01Eta6b8UmdElfeE93HHHL1/69bp41S5VWecDdfrbfkSnWFQ1hvOkRhu0PslW65fI3nq+9cWKdxh9zkzdUmBAlQOPCVN+nm68b2Hy5obrvqerLmoZmuiNYVsyOjnYPuozno7qlxv64ud+nE/cq7Op8m8tF5vDK9o4eg9+/T16cySS/W1qVD5T/sYVxr+GVYy7SA5x8rLwzmfZmZfecc3ZM3pFfqeUWkf1bmk7Vl9Olc4fd/56Y1vlTUdZ+t5sj09smafU6RMtle7NvHOFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACBCMD2terUO9hqqmyBrBieEA24nvDAs58jWV8ia9vl6LfVrdUhb52yd7Fi7IRyuOtiog4gPXtgva9r+NFPW3HjCLFnz4bN+FRz/fbsO7b10ymJZs7BUh1n+rnuGrEl36ONU8cza4Hh9Wu+7/hZ9nIbqKmVNukcH5Q1O0K9dDM8KBxpOfrRbb6elStbgwJZt75A1rbc+KWvuvFVfN2762DtkzR1XfyU4fmqFDsWe5nUAdxLffuF4WTP1paUF2RYOYElCRve1YN8Ej8lnw8/TzJqX5ByHfGaDrPnCt3TA7RU3tMian735juD4rFJ9bWoqC/9cNzPrGR2UNU/+YY6sOaxP36ftVQoRtlso41gL70wBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAIgSTxLYer0NwS3XOmGXT4fGSQR222DVLB6eW6OxfKxnQ2/JJcrtEll5Fh95OaZfeebUJaly2Xtb819azg+Ovv+g5OUdHtlrW/HnbJFlTWTMka/on1cqa3vNmB8cnLumUc2TTDbKmboUOyu18jT4GTuf6WvMz4eM9MEUfg4EmHUQMFEvrbTr891NrPxAcf/jLX5VzjFqCJ1gCk+p6ZY1Lix9qZuaH9HUO+ymX4HXq0QQh0ypEdG8L9S3SenwmI2uShP/OvkqH/77r2k8Exx+9+vNyjjKnfyYPen39esvrn5E1q5ubZE12y1ZZUzRJzpliBfuO4/zlnSkAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABAhGBob0WXDrDqnK37scZl4XC6rsN0IO+EP/fJmtSwDsFzwzrsrWZTuawZqg+HsHXP1CFjrV4H0/ZNDR4iMzOrX63TigeOCNcsqNMBd6sHmmVNY9WArLl82uOy5jMb3iZrGpaFxzMT9HlVvVGHImdqdUBn6aB+rgyXJgieE9NkKvQc/a1FCrgDCmTDhQkCTIWf9LXImotqdFjlA3N/JGuOue4aWXPwv+qwYuynEgSwFi2INIkkaylUIK/aVrECj80sVVkha5rO3BQcr0np+4POUX2fkeQKePPkRbLmpHeGQ4bNzFpv2xYuKGYY9L72PHgVvDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiBBMhC0d0MFzVZt1yFW6KxyUO1paJufomlOjt9OrY89GS/R6a1d0y5qR5qrgeMmQDv4drgsH/5qZ1a/RgbzrztbbOuHQcMLt7c+9Qc5R9aQ+BkONssReaJksa3xan3vNz4SD8DrmVcs5yvt0OF1Znz6vOmfrY5nu1Nsq3xoOpy7doQMCy/p1ECFQLGtuOkHWLDnjP4LjfxzWPyPuOuc0WfPo3W2y5tYpj8magYN1+DsOYIUKni2EYgbyJiG3lSDwOAGX4L5yw4eOkjUPz70lOP7UkL7PuOYL18uavhP7Zc3iU78qa3qOHJI1rer89EU6N/c243ge8M4UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIEIwtDfdoQNj+yZXypr1Z4RDZetWySlswspwQKuZ2UCzDq8t69OBcFtPmiBrGl4M75v6FT1yju0L6mVNzwwd0jrjtetlzbTKjuD4k0OHyjnSXTrQrO/4AVnz4Ia5eluNeh6fCr8W0PKrdXKO4RnNuqZBn1etv9NBeV2z9DxDrbXB8ZFaHQ6cqeQ1EhRHyfw5suZLl3xT1lSlwgGb/2f1xXKO1Oq1smZT/yRZA4ybTxA8myRMt1j2prUkkdI/BwfOOlrW3HLVt2RNjQtfm/5u4ZVyjnk/Wi1r/nz0QbKmxPRxqq7X98p7lSRBucU6P8exHe66AAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAEIFmCgAAAAAi0EwBAAAAQASaKQAAAACIEMyZSg1l5ATNf+iVNU1Lg5uxrlk6qypJhlQmneA7+Nfp7+AvbamRNYNN4cc03BDOCzIzS3frLIr2U/UxWL1poqwpS2WD43VLKuQcTT9fKms6zj5E1nzssIdlzacfepus2XZ0OGuiKa2zKAYbwxkSZmbpTn0MMlV6W/WrdG5btiL8+kbPtPB5Z2ZWsyl8rIEkXFpn3C37qM7Ke0OlvuZe9tKZwfHUGTpLL8l668p1fl2K1xgxXi7BOZQki2pfk+Rxyyn0fVzJwVNljf/oNlmzIB3O3zQzWzxcHRw//Ks75ByZti2y5qR5+jpZ6fR98PALdbJG7WPvE+QtJcmHKpRCbCtJhtQ4tsNPDQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAECEYALocKMOcvUJAtbS2/qD49m0Du2tXqHDFrcfFQ5XMzPLVuuQ1lRGB3f5EhF6Nqrn6Jmhg15PnL1C1nxnxiOy5pD7rwyOT+rQAYJrrpkva64+6n5ZM+L14659QddM+cXG4PiOeS1yjtEyff6qgGYzs/rn2vW2avXzKdUbDu5Ld1TJOXqn6xpAyR43T9YsP+/LsiZJNOnvfzM3OH5I+g9yjhW3HSVrfjZNr/e5YX3tnnafLMGBbD8M5HUl+mdysonCr+G7cn2P1r2gVdbcM/c/ZE1LSY2sOfHuq4Ljs9cuk3Os+/QJsubn02+XNQM+K2um36fvlX1WzFPMQN4kYbqFkOQxjWMtvDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiBBMI+2cVS4naFw+pLcigrAGm3RQVsc8Hcg76ZFtsmZoar2sKUkQ2jjYEO5Ds2ndp6aGZYkdVbde1ly5/iRZU70yHISXfft2OUd9SgcR/rb7EF3zaDig08ysuU1va+Cw5uB46Q4dcDdUp4MIR2r0seyd1yRrhmv1PP0tdcHxdLc+Nyu373+Bkdi/DTeFn6stj6TlHEkCeZO49KdXy5pZ9z1dkG3hAJYkRDQlfj4lCQcWIbmJJZknVZwA1kyl3o7+6W/Wme2XNXWzO4Pjhy4clHPc0fLvsmbEB2/HzczsyB9fI2vmLH5W1owWM5S3EJKce+q5kCSQdxz7hXemAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAEIFmCgAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABGCKWFV23TsmS/VQVjDjRXB8YMe7pVzDLZUypo1f9siaw5+aIesGarVYcXVW8L7JlOh98tQne5lv/LUG2XNuUc/J2suf88vg+M/33SknKOzXx+DZ9qmypqaDXrfpLLjD54daA4HFedq9DGo2aifBwONeh51zpiZVYTzARPZ0aqDiAGl9JmVsubjm06RNbdOeUzWLD8vHLibSvC6X5IrxmsWXSlrZv/T0oJsCxi3JKG8xZjDzMwS/FzJJrhnHA0Ho7oE4aqNf+iQNbdv19emz076nax5dMG3g+NZ00GvvQkOwYfXv1nWzL1ti6zJDA3pjSlJAm6TKFQ4cEGeBwnWMo7HzTtTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAjB0N6SYR1y1TNNB6OW9Yfn6Zmu50giSSBvaXuCmkEdTts/MRxg1ztDh3/VbND7t+np4CEyM7MdR+iQ4XvWHxMcr08Pyjl6N06SNa2P6sc90CxLrGOODghsXBEe72/WczSsHJE1nbP1+dmyZEDWdM8Mh1ebmU34c19w3Jfo1z8GJ1TJGkAZ7dVh6i9eF76umJktvvNJWXNsOhz2uTmrn19n3nW9rJn1L3+UNaOD+loIjFshglF3cxDpX20qQSCvS+ltuZLwz2Wf5DGt3yxLFt94rKz5zq16nupUOAR30Ov7g8/ef7GsmXPbBlkzuq1N1phL8h7JXhSCW6x5CrWWV8E7UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAIwUTY4drC9Fr1L4SDSDO1OnS2rEOHNroRHSrXfdREWZPS09hASzgArHatDv9qfnKbrOk6Wq9347UzZU11WfhYDlY1yjlqEwTpVm4LB9yZmZnTIXdJzr3aF3uC4yNVDXKOHa06FLnuJX1C9E5Py5qmZ7plzWBrdXB8qF4fA1+YjEZASi3SIbj/fOiCIqzEbIY9JWsKEFUJFMY4AkL3zHb0s8cnuHdypeGf7X4ko7czpO8zyh9cLGt+MH+qrJEhwwnCjGel9FoyCeZJJFFobyG2U8RA3iQKMc845uCdKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAIgRDdira9ffeZyt1P9Y1pya8iCH9XfTtcytkjRvV81S266yEqrZhWVPeE84n2jFJ5xdtO7FZ1gzX6++9r2jX2UOpbHjfbF2gs5+qtuj9OzhRz1MyrOep2aBrNr1xQnC8rE/PMdSg92/96hE9T73OmRqYGs6QMjNLDYnz0+ljndVPFQDAnlSIXJxC5fgkmadAeVU+o3+eSoXKJvIJsrNUfmmCtfhMkTLFzCxRml6xMs6SKNZaCnXOvAremQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABECCbLlg7o0F6XIG+rd2o4yDXdnSDEdbNeSypJMFqCku6ZOvW0oiu8nqzOcLW6dRlZsz1BCG6mWge5ZkS4cuNyvX9LEoQre70UGy3V4WlNT7XJmq2nt4bneH6HnCNTpfdvWUe/rGkY0vuvY16VrEn3hAP3umbq1z9q1+1FgXwAcKBxCV6nThAYq7dToCDS3RxouksKFURcKGpbe9t6kyjWYyrmvlHPuUI83wJ4ZwoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQwfkkoVoAAAAAgL/CO1MAAAAAEIFmCgAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgwv8HPdrpRpNdvT4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 30s 128ms/step - loss: 0.0088 - accuracy: 0.8131 - val_loss: 0.0106 - val_accuracy: 0.8122 - lr: 0.0010\n",
      "Epoch 10/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0079 - accuracy: 0.8134"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 131ms/step - loss: 0.0079 - accuracy: 0.8134 - val_loss: 0.0102 - val_accuracy: 0.8121 - lr: 0.0010\n",
      "Epoch 11/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0086 - accuracy: 0.8131"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Occn8P8iaIpeSNRt7J8ia78w6W9aU31UdHE8V6xC3jmklsqZtln7MdM7Q+z39bl2z59jS4HhvpZzC0rN0EDGQC5u+rgN5n3/3d2TNlv7wce62vePlHF+ZpI+DX5/0pKypO00/f875+adlzRFf+mtwPN3dLecAgpIE8iYKIs1RsG+S4NRcBMImCCvecP3RsmbFmd+XNRPzw8emTq/3eVq+PtcrO0Kfd3Yu1+eDJ5x0payZftlLwXHfp7cz4ojHlSvQ/cFgcGUKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAECGYYrXrJB0iNvs3DbJm5/JxwfGqrTqQd95NPbKm7lQdyjXlkXZZ0za3XNbUfH91cLzr0hPlHElCkd+04DlZs7xiraxZsenY4HjPv0+Sc/zjBctkzeRjd8maj8x+UNZMqtT3U3vLmOB411gdppck2Hfag3otLfP1Y6Z5ng4aLOgUAdf1cgrL6y/TRZfpEkBZcOJmWVNg+nF/3l1XB8fnX/WEnOOLH9ABwv7SRlnzxLKbZc0LV35P1iws/Mfg+BH//JicA6NUrgJuc7Edr8Pic2aI9juvSIfgLpuzRdYsLdLnjOe++LbgePE/6LU0nDpB1nRe0iZrViy7XtbccfwPZc0HT/94cLzgoaflHDkJX84l8bjy6YO7Xq5MAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACIEE8umPtwtJ6g7OxzIa2bWNT4cluWdDk5rfl+HrJn0rS5Z07ikQtbUrNPzuBOODo4Xtegg4sIWffvefbMOopx1hQ5O7nm2Jjju+jvlHDPu65U1HWt1+O+1ZZfLmuVX6UDLK669JTh+4b3hYDozsxm36QDB+hMrZU2S4Ond5+rbr/bh4uD43ql6vQV7ZQmQEztuma2L/uXgr8PMbOxPEoTg/lQ/fy46Wh+f3rfiHlnzwnu+Gxw/pu2jco7pX35U1mAEykUgb4624/J1aLbv17+/RpJ0T4+sWbPyWFnTOOsPsqbgX6uD46kNz8k5ajZs1DU3yhL75JFXyJrP3BE+LzIz+8PPw6HjZ38+HKJuZlZ7wxCGjufpx7D5dHDY5ennymCCfbkyBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABAhGDAU9e4QjlB2e6UrKnaGv7u9vZp+jvky2+ukjVmOnsgVaS/a373CWWyZu/U8Hfal+/QferUO1pkTU+1/t77l7om6nkmhnMkNr61RM4xZkOC7+kv0DUVO/Vj5t6tC2XNB2ofCY7PnbNLzlG0Vt9PeydPkTWlu3Q2WcnLOq+q7Yjw/V3cJKcwr2PbgJxwg8jlGBZerzf93DpZc+PlF8qa8bfcHBy/+0Nfl3N8+GfvlDX923fIGgyxBI+zRHKQVzXSMqRk7pXTv5N9f5+sKd+p15JKcD/tOjmcTTr5Sf0LN1f3QWqdzqt6333/Q9a8cvH1wfFPfEZnVf38humyJmdEhlSyKQ7u7yquTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAEIFmCgAAAAAiBNPGynb1ygkalpTKGi9atrYTuuUcc36iA7d2H6vXUl6nw7/y+vW22uaFa/K7ddjernN02G5Jg55nTIEOjK2a1B4c93+qkXO0LtC33bQHdCBvf5nu4fPu1OtZs2hycHxxdZ2c477LTpQ1xS368bD99TqQt2yXnmfssx3h7Zyjt9M9cfABd0ASk+/Vz7Hmf9HHp9HGP7VW1tzbdnRw/KwJT8s5Oo/SgeFFhPaOPHkimNbMLK1/V446OQgZThLQKoN/zSxP5/paWYL7afqlrwTH07/U5yqpxia9mCSPhwQ1R167R9Y0X9gZHF9WHB43M/vlxONkTWpPo6xJtN85CcFOcF6UIDD6tXBlCgAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABAhGNqbLtK9Vn63DtMq7ArXVP6uUM7RcoReSzq4NxmpYh0qV3e+Tnsr3VQcHG9ZqAPCSvbofeqa2i9r/rR7rqwpKw4HMNcv6ZFzLPySDp5rXzJB1hS16ZC27mp9Z376nncFxy8//VE5R//ScEiumVnKJXiMP6HDdJM89l65tCK8nXD2spmZzbwjQVrhx3QJoPRv2ixrHu0eL2t+c953g+Ofn3iRnCNVv1vWDKXfrDo5OP6Vt+vQ3t//+DuyZtmKq2XN3KtXyxrkUILg2dwE3OYizDSHkoSeihpXpM8Hkyhp1vfBK316ve+ZHH7u/OD4t8k5iu/SQbq5kq4slTV/6RkTHD+ppE3OseNyfd459QZ9Xplq1dsassd5kufta+DKFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACBCMBl107t1qFz1kwmC50TLVlavQ0ZdOl/WtC7QNdUbdSjXxAd0aFzX2PB47Qs6ZKzqxQZZky7Va+n4st7v6ZUtwfFd22vlHLvPniRr8hLkxVY9sV3WzPqCDnL73rQHguPX1J0u5yh+PBySa2Y2/dZtsqZzUYms6a3Ur130lYfvy0mPd8s5dh+n1wIMlatXv1PWbHj9T4Ljuy+ZI+cYe32C0N48faxMnXGMrGn9lA77/vOS60RFmZzj2D98QtYs/PcXZI2OSceQG2mBu7mQIPTU94Ufjb6vNydLqbzzWVnzo8+cKWs+N/H+4PgXj9PnaDPuL5I1SSQJNN74WV1zTmk4TPfaxqVyjmm/3yFr+kdUIG+C7QwiSJsrUwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAIwdDemSt0gFXd63QQVl9VOMit9vl+OUfTomJZU66zYK2wXW+r7nU69ExtK1Wkb7uOedWyprBDxy3WrauUNVdfGA6e23TDfDlHEgmyla3+vBm65no9zxl2VIIVhRWZfvzWL5826O0kVdIQXk9vdfApa2ZmaV0CDJn87YMPkT71Q0/KmodqTpU1My98Rdb8cd6PZc11TQtkzR7xRJyQ4Fi56Lpdsqa/LUEwJoZWroJIVYjoSAv+HUHrSfeEg2nNzP588ymypvwTD4a3o08XzR2pQ8eTBMauv7JK1vz0hB/Jmlv31gTH7/yPs+QclduekjWJJAnKzUXg7kF+bHJlCgAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACMEgjN4xOghj1m0dsmbbueEcpK3nl8s5Jv5F50PtOUYH7Ow6WedV1azV30ffuDScnVW5Tc/RcJReb6pE3weFCWJGvvjCG8Nz6CkwArTO0o+ZSU90D8FKgGSmPdCri94bHv7m5Mf1HB/XNfd1lcqao374EVkz+3vrZE3T/eHfa1+Z8LScA4e5EZTbdCiasrJV1qy6akJw/MwL/irnuHeSzsTMr+yTNefPe0bW/LJBZ2c9ctsxwfHZD2+Uc/Snc5WlluCaToIoKvPhc/KDjStTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAjBBNC6s3QIVvPCcCCvmZnPC4d7Va/X4V+pEp3aVdwsSyxdpGta5+uayY+Ex9un67Ddrqk6iHjqg3q/W+bobc0buyc4vtmq5RwYflVbU7KmcE/nEKwESKaopUfWrO0LB/suLtQH7uuaFsiaVW85WtbMeOlRWZMu0OHZJXnhEM6Fq94v55iz80VZgxHIJUkZzQFCfV9bgtvG9ejfp3kWPg9+Y82zco5Fp9XJmrUdU2XN6rqZsqbo1zWyZvbKzcHxVGOCk+kkEgTyunx9/poskDc8j0/p+3owuDIFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiBBMHpz8kO61esboYLSijnDNruU6vLagoVDWVGyRJVbUmiAguFgH7nWOC9d0TdDbmfwnffs2HqlruqeGwyHNzJp7ymQNRr7GxTrgrnFR7RCsBDDLn3eErHnrTffLmiShvMoDV71O1riXnhn0dszM8ubr/b6k6hfB8ZX/V6/X9+jAY4xSSQJ3VfhvrsKBD8Xw3zz9u3Lju3XA7eKi3cHxp3p02O6mrvGy5oH1OnR86u/0eXDVE1tlTWp3Q3Dc9+tzylzxCbJ0XZ5+nPu0eAwnCBBOFg786rgyBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIgQDO1tOEYHZRV06pqyPeEgrEXXtck5dp86VtZ06xLL79U1qRJdU74zHBDW36Rvl7ZZuqZngk40+6fT7pU17WKnfms6eA7Dr3qDDpXrnMBrJBg8V1wsa6pubJE1V1TtHPRaNvZ3yZqCF3Rqe4J8yERSL2yQNZ8/4YLgeEnDEzlaDUalXAXuHmoS3C4uXwfydrzpOFlzx+XXyZoZBaXB8d+2j5NzrG+dKGuqntQnnhWvtMga394haw5FKthXhvoOEmddAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAjB0N65NzXICTZergPL2maGA9bSBTVyjlSxDnIradKhXO2zZIlNv79bzzMtHGjZX6G3YwkyxArG6bDKsrweWfPRmnCg5W/t9XoxGHYV2/TjIS1CBoEk2i9ZKmvunPX9g78QM7vyxb+TNRXNm4ZgJcmlGhqHewkYLi7B69ReB7DnhD+4YaXDIW/+EbJm1ifXy5r5heWDXstNL58oazp2VMma6j59P+W17pU1XoTX5kySx1WSYOpEzwMd0jzcuDIFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiBAM7e2Yr8N0i1t0KFfN+r7g+J6lhXqODSlZ0zxfB3uV7ZQltuukElmTCmf2WvUGHUTWc1mzrLlyzmpZc+0z58ma+sV6Hox8/RX6udI5kddIEFYwaaKs+fxXb8zJtt63RQeC/2zmgznZFjAiDFUg7yHI5evzuLqv6t9xv5pxl6xpSOn7qU+E0yYJ5B3zgt6nmvU9siZdXiprXHOLrMnJ4zNJIG+ieXJ0vqLm8eE+ZLA46wIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIEIwZ2rbJfq76Iu36420zQxuxvJ79Rzt0/T39Fdu1ettm637x4rt4VwBM7NxTzQGx9sX6Iyujy+4V9Z8Y8MbZM3xM7bKmneOeSo4/lvTWTAYfvXHFcmaPB3JhsPc3mUzZM0bSrtkzbWNi2TN45tn6QXNDA83tpXLKSr0VoAhkSQryadycKAWGUijkSvSv+N+dsyNsuaVPn2uV5uv74PavPD565i1CfJN9+jt9FXqeYq36iyqRFQmk0vwuBrKLLUEzydTz6ckeVaD2CeuTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAEIFmCgAAAAAiBNPI5l+v03Rb54YDzczMnMjS6tD5kVazTtf0lzpZU9Sq5ylu1cFdGz5QGxwv2aP71G9tPEfWNDfrKMrHdlTLmpW1c2UNRr7adQnC/8r08wCHN5+Xm8fIrVuOkTXp1OC3NeYOInkxeuQkkDcJl6Nj/VCG/+aFA1jTR82RU6zrXStr7mk6WtaUF+gQ3H+buDI43lMjp7DSJn0/5fXr807Xrx9XPkk47VBJsBaX5HdROgePz4McMjyCbnUAAAAAGD1opgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiBBM3O0eVyInqD+rX9aUv1QUHt8hp7CW+Tq0a+53N8ma1tfNkjWd4xP0mCL/a+8CHQZ3yeQNsubmjafImmOWbJY123vDIcMYHfL69fOgoHsIFoJRbfs5uXkd7XML7pY1jSkduLu5vzM4Pnb1bjnHEMWkAkNHhZ4e5CDS/yZHAcF5JcXB8e1nVco5FhbVy5q7bIms+cj4lbIm38L73TNO3wdNRfp4O/mxBEewnl5Z4nt1jXrcJAnS9ekEgbz54YDmJGtJyuci2HcQuDIFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiBAM7e2t1L3WzN/poKxUUTiMrLdCb6e0UW+n7ZRZsmbHcj3P2KdliVVuDoea9e8OB9OZmT09c7qsueacO2TN0SXbZM1/bj9P1mDk6xynQ/Dy+4Y3vA4j34IfNMiaW99YI2veWt6cYGstsmL+gx8Njs/d8NcE2wEOMSrQ1OfoWJ8gkNcVFcmaJIGxqmbqfa1yju+97WxdM+0BWVPsSmXN3V1lwfF0sQ6drdimb9+Sug5Z4/eGw83NzCyVIPxXhUEn4PIShO3mKpA3yT7JSRI8VwYRTM2VKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAECEYGhvQY8OuUoX6JCrhiXhoNF0od7OjLu7ZU3TkTqAzaV0iFh+jyyxtjnhNU99qE/Osat7pqz5xkkTZE3Ry3q/C0TWW7ER9DoaVNT1y5r+Ml4jQVhq/cuy5sY3nStrHv/FRlnTky6UNbN/Gh+WCByyVLhqkqdNkuDUJCGuaX2O4Ar0c12uZ816OcW2K+fImiVXfkzWVK/TN+D41eFg8iPb6+QcSW4737FXT9OT4OQ0wbZyEabrk2wnV3IR/juIQN4kOOsCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARAiG9rbMCYftmpmlivRGShrC462LdCDXjrPLZE1+V4K11Ot92n12gmA0Hw4A66kJ3rRmZuYSZJ4Vv6gDeVMleqJUYXi9LkEmWpvOybPJj+lQ2foTdLBff2mCgECx5oqtcgoradbbqXlil6xpX6LDletP0I+9gr3h+6lpqX79Y9F/JggRBITUiy/JmuePSzKTPp7m29NJJgIOLyqsNEnYbo64Qn1OkygYNZUKDicJpk29sEHWzLlG3zYuT683rdYrZ0goyX2Zi/DaJPwQBvIe5DDdocKVKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAIgSDAyatThDclED7jOLgeM1zuqcr363ziwo6wnkAZmZ1p4bXYmZW/ZSuGbcmfNtse70O4BqzUX+X/+QVG2XNKx+eK2smPtkbHO8v0xlIeev1/VT6wBpZM6ZmqaypfapR1nQsqAmOt87WuRid43XGgT9pkqzprdTzFDfqmvzw3WSVW/QczSdNkTUAgFEuSe5QoswgPU+6O0n+Zg7WkyR3KMk+eX0+OFSxTYkkWC9GLq5MAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACIEU03bZpfICXqqdcDaxCc6guPts8rkHO1TdABr5U5ZYv3lOuwtr17Ps+P00uB471gdwNbdooNyt/2dDuQt2S1LrGVeOER40p9b5Bw7z6yWNbvev0zWdMxMErg3VpZUbe4Ojqfz9WNz5xm6ZtJj4cevmdmOs6pkTfkunRDYPj38+obr1+vtnJwg9BAAcHC4BK9TD1VibJIQ3CRytd5crCdXwb5DJVfrzdPnjLkLchaG8j5IMk+uHueRuDIFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiOD8SAo2AwAAAIBRgitTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIML/A4tvNtBRw4pKAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 30s 129ms/step - loss: 0.0086 - accuracy: 0.8131 - val_loss: 0.0090 - val_accuracy: 0.8127 - lr: 0.0010\n",
      "Epoch 12/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0081 - accuracy: 0.8133"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 30s 130ms/step - loss: 0.0081 - accuracy: 0.8133 - val_loss: 0.0079 - val_accuracy: 0.8134 - lr: 0.0010\n",
      "Epoch 13/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0079 - accuracy: 0.8134"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YHJ96ZIucI4lPvvc2WfOLjcfKmqH3hIPyzMyG/hDeB433tMk5dhylw6BrXtZhu53z9b7smx4OTjYz6/70ccHxtM4Ktdm/0yGC2L+t/9oJwfELznxQzjG9cIOsubT6j7ImL8F7dmkLv47kYg4zsxdP+XFO5rlyydGyZs3qWcHxkU2b5RzAuEhwDeby9fVgakqdrGlZMS843njRa3KOa+b+WtbMzl8la0a9fq6vHgpfMxY7fU05Tz90dsPcu2XN8EF6WVf+armseebkiuB4urtbzjHhqODpJEHEexBWzJ0pAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAEIFmCgAAAAAi0EwBAAAAQIRglFhqUAdYVTynA0J9YUFwvP3wGjnHaJEI5DKz1LAOYGs+TvePM5ZtlTUDI+EUttOnvyLnmFKgg2mXP3WBrOns0YGxhe3hx6/v9gY5xyOVuuaJ/sNlTf07mmRN/7BOuStrDgfYdS2p1nNsHZI1bQfrx9clyYNL8NZF+ebwMVz9nA6DbksQRIyJqeVTb5E1P/jMd2XN8cVPB8eHvQ5/LHApWfPd9gWyZmXrElmz/o5wkGcSc254XRepYEcz+/Cf7pc1/17/tKw5e+ExwfEUob37ryThnwmOxXGTp5/r2y45VtZc8bmfyZpTSm4Jjlfl6dfbYa9r7h+QJXbJYx+SNXW/Kw2O1z60Rc4xWhMOyTUzW/feSlmz5qKrZc0Hax6WNZ9PnyFrJp09CNz9iz14TnJnCgAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABAhmIxa2KtDcLedXC9rSlvDAZFlzTo4daCuWNaU3/WcrBk55xBZ096nA+EGBsNBxHcO6+XYSh2u2vCADmkdOKNc1sxY2RYc71haLeeoe17vp75phbLmAzMelTW/23aErGlOhR+/vCEd4tY7Xa9vl84ltdl3Dcqavga9rJGScGjccG04QNDMbKCG90gmq8E6XbOsSJ+XF6y6ZI/X5aBrdYBh4epXZc1oV7OsmWG6RhlJUrT8MFlybLEO4Uybfo3AASxJ+OckC/btb9Dr0jGqX59u7w0/d+5qWyrnaLpikawpXPmUrJnrn5U1aj8lOu9s0CULXimTNemL9Lm/Nk8HsrtCcS3S2yvnSGQ8nwdqnr38XOKqCwAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACMGcqY55wWEzM5v6tM7X2XZ0UXC88YEBOcewjlKy1vceLmsW/6hHz3NktawpGg6PD5fpFS7dpvMAdizT61L9qk462HpKOJOpqFN/1/9wmT4e0rrE7utYLGteaG6QNXWj4XXunJuSc3QfLHakmdU+rjeqZ4bOkOpr0O9dzPp1U3C8d6l+XJJkFWFimn3FQ7Lm/CuOlTXzTWes5II+g00sI+X6eTo9pTOknhrSeS+Fzd3B8cn22GE3JMnOGa/lJMnXSeujcc6XH5M1v/yOzoiyVPh12ff2ySkKB57Qy5lkXGmCDEmv91NbWl/3WGE4J9Xl62ueJDXpIX19ZabPpYmo49zt3XtH3JkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARAimbtW+rAO30gU6EG7a4+FQ3tESHf5V+5IOph2s1GFlrUfqMN2aV3SIsLL1BB382F6j17fuBR3SVv5Ku6zJG6oOjpc+8qqco3/5fFnTukz35xu6wwHCZmYL6ltlTdPMucHx6Q/qgObiHWWypvbZLlkzWhIOwTMzq1qbIKT5xBnhdXlsm5xjmie1F9iV196VIGgyQYhk2vM+JAKSBOUmCdzNRfhvjgKE/Yi+Bhvt6NzzBSV57PZDHafr66vhBPuyNi9BHHhl+DrYt+jrDD+aYDm5Cq/OxTHhcxQO/CZ4RQAAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABECCYYFvTokLb2hcWyprBHBHclyPXqbdB9X/V6vb5lr7TJmh3HTZU1AzXhELHUoJzCGh7R4cAdC4pkTe8pU2RN+dZwwNrA0fPkHMMVOmR4tEIHuXUN6G2aV7FD1nQ0hZe16TQd0Nz4535Z0z2/QtZ0zdHHp0uQcZcW2b/9UxtyshzgQNS4cLusyUvwHuPvOpfJmtEX1yZapz2VOmSRrBls0Oew4rUtsmakaVOidTrgjVdYaZLl5CoEdzyXtb9J8Lh0LNLnnWKnazrSOpzWl4Wv21M1NXKOdF+frHGFhbKm+6xDZI0lOKwq7nwuOO6HhuUciYKI3wR3pgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARgqG9rYeVyAnqntfBs4WbOoLjblSHjPW9vVHWuLQOlRtOEF5YvnlI1hS3hQNsffCRzXAjersrN+qgsbbFOhitfG1HcPzlS2rlHPN+o/f14gU6FLM4pcOV73n+YFljZ4YfvzlzdQjlFtPHVd7yDlkzp6Zd1hSn9L5s/z9zguPbjtaBx05nKwMHpFWH3SRr0qbPy7944jhZU/YFkcCdwLzz1suaL876haxZVqS36fbeOllz1VUfCI7XXvewnOOAkCS8NkkIbi7Cf3MVIDzRljWJ5BXp1+1Pv/8WWVOep+d5fURfXy37STjgdlFJs5zj3x5ZIWu+81Z9bjq26E5Zc1uvDia/5YUTg+Nuk96mJEHEb4Y7UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAIwWjZwk4dwOaGdRjg+n+YFhwv3yinsLwRvS4jJbo3HC7VAbc9M3Xqaf3j4XCv/gYdrjZUrdeltKlb1pRM0QnBO44OBzKWb9QhgxvO1yHOs9P6sTuuboOe54g2WXPHK0uD400vNMg5XJ0+fgtG9DY13TpX1hS16WN4aGl4P+T3yikShVcD+5v1XztB1uTZkwlm0q8jr573Q1mTtvDzMM/0Ofe/OvR55fauI2XN/3jtMFnT+BV9nqt9jFDeRAivPWC4fH39tfl/HiVrziv7o6wpcOWyZqm+rLRzqp4Jjt/WsUzOUVQ2JGv+ec27ZU3pXRWypv7eFlmTfk0EnKf0+c3vwbUTd6YAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIgQ/IL8ER0rZKOl+jv2Gx4eCY6X3P+CnKP3jHCmkJlZakBnBhU366CedH6VrBmcEv4y//463acWJcjxGq7VO6HtEJ1XUv9k+LHpXKjXNz19QNZUFfbLmj9uXSxrhkb0cVX8TGlwvK9xVM4xa5U+ZobLyvS67BiUNb0NBbKm8e7twfF0pT4etp6ocxuAyWTrLUtkzZ+O+rqsSZt+/qRNnxMubTpd1jywbkFw/KBr9Xm7cPWrsma0q0vWNJp+jQX2J0nyn/LmzpY1w9Mqg+Mbz9XnlJ+//2pZMz0Vvp4xM+tJ62uwLzafJGse+MmxwfFpj+pzyuwnE5xT0voaLIlEszhxPk2SIeX1uf/NcGcKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAECGcaqYzBS2dn6BIZGWNLFsop+iakyDEdYcO3CroCoftmpkNVuttqnolHP47XKKDU92oDhHbfEqxrFly0jpZ03J0eXD87fWvyTmebp8pa7b06MDj9qemypoFP9osa7afGn78yjfp/djToI+rkVI9T+th+riad1O7rNlwQX1wvPFBHdrX8O2HZI198zO6BhB2fOQEWXPx526XNZdWbQiO59mTco4kgbwtozpU/F1XXCZraq97WNbMt6dkjZKbyEtgEslL6ZISfV206eNHyJqbP6WDvqelwvccCkyvb4HTNZtH+2TNed+7XNbM/NYTsqZ+OHyNkCDeNhkVpGtm5hLc09mDMN3xwp0pAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAEIFmCgAAAAAi0EwBAAAAQIRgYmntSzogtPVQHZRYuXEkOL7t6FI5R1GHjhGrfE0HMuZ36pqGlV2yZus504PjnQsTBAh36172sFNekTVHVm2SNdetOSU4fmtbpZxjzrQdsqZlQ62smXvfsKzpPCb8+JqZFfSGH+OSVr2c/I5BWbP9WP3YzL3ycVnT/LHlsmbmqnBwX89MHVbYfflbZA0ObEnCdodWdMia24/SoZfTU/o14uRnLgyO33/4jXKOtOlz7rmrL5U1jQkCeYGgJGGlPmfRqBNHgu3OnzsnOL71bP3af8g/vChrbplztawZ9QWy5sedC4Pj84pa5BynFetryrcnODfN/OZjssaPhK+3x1WSY9wniCZP8nzax7gzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIgQDO19/VwdEFr1sg7lGi0MB26lC+UUVtSlAxn7p+n1LSpKyZqNZxbJmnRheH2OP+ZlOUd9cbesueOVpbJm7W8WyZq5z4TDaVs/pQOaa4rCgbJmZqVNwUPKzMzye3oT1OjA3e3LyoLjPpUg6K1eH3wlbfrY2/xpHchb1K6fKyNl4cevbLPeT1Uv6SBiu0qXYGLKnzVT1rz81SnB8euPv0bOMTNfB5wnCsH9ij7nVj72bHA8b3OS0Eb93qB/pDrBPMA4yEUQ6XgG/yZY37536tfB/E80B8f/vESH7Q6bDno99ZmLZE31P+vXf/fa5uD4QX/SIcPHNfxJ1lT+olLWTKhA3iRyFbbrEtz38eI6TY3vIe5MAQAAAEAEmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQgWYKAAAAACIEE0KnPqkD4dI6j9G6Z4aLpjyrA1p3LC2QNfWrdaBpU4JA3uGpOhjN9YW3qbZQB9zef+2xsmb+Qx2yZqRa98S908Pb3dOtA4+3FutQuTy9KxNpPaJU1jT8dE1wvPMdh8k5qle3yJqtZ+lQvtqX9DFTuqFL1viC8HE10KAfl+bjdQ0mqOX6mP3w9bfKmvPL2oPj3+uYL+e44ZvnyprG6x6WNYmI7U7bajlF2nQo45wbXpc1kywWE5NVksBdFXqaJBQ1F8sxs+4Lj5M17/nS3bLmXRXPBMefGSqRc1z2uU/JmsrfPiprksS4pqbVB8c/WLdKzrF9VD++Vc/ukDU6qng/tZcDd3OBO1MAAAAAEIFmCgAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACMHQ3p7puteasbJV1pQ0VgTH+6bpQN7CTh08N1ij51l60quy5kPTH5Q1/7TqA8Hxh358lJwjX2cM25bTa2TN1Kf0RJWXNgXHa/N0KNrzL82SNUt+tlbWbL1goawp6tLr03zxEcHxKWv65RzDM6plTWpIH3slm3tlzdbTa2WNE5td0aQjReteyFFyMsbd+T+9V9eIQF4zs2X/GQ61TBJeW7spR4G8CWz9Yvi4zjMdern45k/KmoWbdJAnMC6SBO7KOZK8H65fS1MV4Ws0M7PLv3y9rHlnWY+suaz5pOD4cxcfLOcoXZOj53FeSpZMv7UvOH50kV7MoX/+mKyZu/YFPVESSY6rRMeNkCRINxfLyZW9HPw7gbYUAAAAACYPmikAAAAAiEAzBQAAAAARaKYAAAAAIALNFAAAAABEoJkCAAAAgAg0UwAAAAAQIZgzNePu7XKC3vk6B6m3Ifxd/r0z9Pfip/N11k/9jS/KmpO/vFHWJFHUHHzorLhdr29qWNcUd+ia5uOKZU1pf2lwfHalzq4p2xDeZjMzP71Oz7NtVM+TICphuCw83rZEPy71j3XKmoJeHSSx48hKWVOUYF/WPh3eD27zNjnHlg/onA5MTJdWbZA16QS5McWt4WNtZNPmpKu0x3Z85ARZc/tRXw+Op61EzjHvt+SrYf/iUiIHKUGOj9cvt+ZHddExRc2yZtSHrzPMzG5ZeXxwfMHLT8k5EmUpef16a8uXypKvzvh+cHzrqF7O7O8m2E8jOkMyJ9lkZjpzKcFxJY/NhPMkOfb2dkZULnBnCgAAAAAi0EwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABAhmMLaP6daTpAa0mFanQvD4V41LyYIV0tg+PB5suaaO3RIW0G3DkYbnDMUHN++QAewpVt0qOzMP+nHZrhS15zWuDY4ftvNb5FzzHi4X9b0z6yQNT5PP77ds3SfP+O+nuD4tqPK5RyW1sdv/xS9LsVtep50gd7ude8Lh2AXt9bKORoe6ZM1mJje9omPy5qmFfpY+/znbg+Opz+rj+lv33OOrDn4+zrsu/iCFlkzPRUO5V1050flHItWPSFrgMnEp9Vre24CT9N9+jXj3V+6TNZsP1kHZy8+dmNw/KXv62u0ugcLZc3Uxztkzav/qM+DVXnh67S3XvdJOcdBf35Y1kwoCY4Zn04Q7JuXIGw3SSBvkhBhcV2pn0sJ1+VNcGcKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAECEY2tsxr0BOUNSlQ67m3DkYHHcjCYJ/54dDHc3MBuqLZE31S7LEhhNkvRY9HQ6Ny+/Xj137KQOy5pgr18ia3zx6jKyZW7Q9OD51jQ4Zbj1U74PUgA5Gm7KmW9b4PL0Tmo8P11Rt0Ns0UqmDk6vX6SDCkVL9vkRejz7Op6wJz9PboIN/LUk4HSakklsfkzWLbtXz/L5ybnB86OgFco7PXPMHWXPU21+TNcuL9PGYtvBz45Artso59LMdmGRUiKgfv3N97Q2Py5opt5bpiRqnBYerztDXce6drbLmy//rer0qqSFZ0ypykRdcu0nOMeISvG6P477MiRwF++ZsWQnyq/cm7kwBAAAAQASaKQAAAACIQDMFAAAAABFopgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAIgRDe1ODOkQsL0FSYn5vOPR02zE6oHXKM/2yZrhCB+XmVSYIV9UZrVbQF35sfIKMtsbfhoN/zcxWViyWNSccsVbWfOPOFcHxOWIfmZnVP673Qaq9V9Z0HT5V1pRtDgc9Z4TD/VyCELe+Rh3a60b18yBJWPFAbUrWDFWED5xRnWdozSckCE7Efm20qys4nlr1pJzj9qU1suZb154pa14771pZc/HGU4PjI5s2yzmASWWShbT6Uf2COtoZPu+YmZmoaVi7Qc/x4EJZMnyTfr2tTekX1BNWXxQcr9+8Ts6RaF8nCfbNFbU+47kuTl+Tu7w9Xx+fTrAPEoQDvxnuTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAINFMAAAAAEIFmCgAAAAAiBEN78xMEkRa36rDX4YpwOG1ht16OG9VhWklCUavX6uDZnpk6yDV/ILw+QxW6T+2t1zU9r1fJmhmzX5I1qYFw6FnvdB14XP3CgKwZrdMBzOkCHcBWsLVD1ljjtOBw+6Lg4W1mZrN+9bqsaT19tqwp6NHPgx2H73lgdM2LcgpL66cBkBNla3Xw+LDXYZ+P3HlYcHy2PZR4nYB9biKFtOYqHHicQob98JCsyXtpg6x5390flzU/POMnsqb4v8Ph5YnCYHO1r3N1XI1nKG8OuHx9LefVY5MeydHa7Bp3pgAAAAAgAs0UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARXCjoaukXvi0TwgoSBO7WvBIOYcvv04Gn6Xzd97UsL5U1KZ07a1Of7pU1Q1XhsMqhSp2cWrleL6d/WomsKX++Rda0nTA9OO50rqYVdejQs/4pOlytpFXP03SGDhGecV94pVMDeqNGyvV+Gi3Ux17bwbpm6hq93WXruoLjr34wHCBoZla1VpbYkz/87ORK7duFM/MuGJ8USQDjamX6pkl9fjozdeHkOjeNUyDvuJpIocjjGJLrUvqaxo8muOAbLy5H93R8OryYJI9LggDmlSO/3OXO5M4UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiEAzBQAAAAARgqFA9asH9QwJvj5/+5FFwfGGh3X+Tud8nbdUuVF/d35Js96mrnl6WSqXySdoU7vnlsma3gY9Ue+0RlkzbdXW4PiG9+o5pj6td3Z/vV7fmmd7ZI1L6zwlJzIBemaGs8DMzAar9DbVvqxz0GbcH85SMzPrWBh+HpiZlbSE17l0i17fQf3QAQCQkSQHKVd5ShMp02q8MqLGcZuTZCXpSXK0vomOh3A+VKZmz/dTkmytJFlUb4Y7UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARKCZAgAAAIAIwdDeoo1tcoKuI+tlTUlrOHCrY1GpnKNikw5F9QnywVK9OoC1fHOCHlNkiG05sVhOMfOeXlnj0nqeJLaeNT04Xtip5xio1YFmU57RocgdS6tlTdVavT5DFeH1Ke7QIW3e6W0qWbdD1rScNk3W1D3XJ2s2nV4eHE+yn0pbEoTgAQBgZuaSvK+eo9eVXITg5kou1mUibY9ZshBcZaJtU5L1SXQMhyUJ9n0z3JkCAAAAgAg0UwAAAAAQgWYKAAAAACLQTAEAAABABJopAAAAAIhAMwUAAAAAEWimAAAAACACzRQAAAAARHDei/RZAAAAAMDf4M4UAAAAAESgmQIAAACACDRTAAAAABCBZgoAAAAAItBMAQAAAEAEmikAAAAAiPD/AEm1/KE09LqVAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 30s 128ms/step - loss: 0.0079 - accuracy: 0.8134 - val_loss: 0.0071 - val_accuracy: 0.8132 - lr: 0.0010\n",
      "Epoch 14/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0079 - accuracy: 0.8134"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 132ms/step - loss: 0.0079 - accuracy: 0.8134 - val_loss: 0.0094 - val_accuracy: 0.8129 - lr: 0.0010\n",
      "Epoch 15/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0074 - accuracy: 0.8136"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 131ms/step - loss: 0.0074 - accuracy: 0.8136 - val_loss: 0.0087 - val_accuracy: 0.8110 - lr: 0.0010\n",
      "Epoch 16/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0079 - accuracy: 0.8134"
     ]
    },
    {
     "data": {
      "image/png": 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x1CTYN9GzfHleNNfgPO7gwSOeCycQQc9PmStTAAAALWimAAAAWtBMAQAAtKCZAgAAaEEzBQAA0IJmCgAAoAXNFAAAQAuaKQAAgBZqE0unRxv0Wg2yvcbPH65dvuxND6Vj/Jsz/yGt+fX3vz6tmXhZHsC68pq1ac3+0+s3fF3vmekYc4P5jbfyy7vSmt3PPyWt2fA3W+vHePHGdIzVXx1Pa6bWL0trBnbn98HUyrG0pszO1y5fcU8eDnzKzflcJs7P57L83gNpTZOQxqnlI7XLx+7NwxUPrasP/uWfm3ztJbXLz37X7ekYf7zpc2nNuR9+R+M5HakNn6vf10Y+dvMizQRoq+/0DbXLf+z6/LhzyeDDac0LPvOTaU2Z6k1rVn4jP2fsT54qV39tbz6X+7alNfMH8ufKqkGgcVT15xndCF9eco7HbTrGQcOuTAEAALSgmQIAAGhBMwUAANCCZgoAAKAFzRQAAEALmikAAIAWNFMAAAAtaKYAAABaqA/tHctDsFbfMZXWbH/hUP0YvbPpGO/+4mvSmpFX5WFvs/vq5xIRse9V+9Oa806pD9OdflkecLemLw+V3TqxKq1ZNpCHHt91YX0o79xQHtI237cyrVm55VBa0yQQrklgdJmsX9fg7vw+2H9OHsg7NZbPZdlg7UMpIiJ2Pbs+kDciokpWNTeUb9PARP544tu2X15/nLuhQSBvE1veeHVXxmnkjcny31yUWTTWjUDjLKg4QlgxS0iDkNGJ551Ru/zFQzvTMUZ68hD3r1z5G2nNvvk84HY+P02L1T31z5VzkT+OZ7Ig3YjYPpc/V94zszat+YWvfX/t8oMPjaZjnPnpfL5D19ya1lSzJ+lzezcCeUuDa0cN9qsn48oUAABAC5opAACAFjRTAAAALWimAAAAWtBMAQAAtKCZAgAAaEEzBQAA0ELtF/6vuDf/TvvpFXm+zqo767+7/cHvWpGOcd7peZ7Cg+Mr05qXX3h7WnPtF56V1nx9X312w+CD/ekYT3/pXWnNI4/kGQaP9uffjb/hOQ/XLn94T5639MU3/lFac8HvvzOtWXF3nvXVxJ7nn1a7fGCiQbbDrjwnbfSuPDtr8qz89us/kOdnrLt+W+3yQ+esS8fYf/pAWsO3pflEWWYTR6wrGVwN7qe3vuvytObe912U1sir4og1yFsc/btv1i7/qW1XpGO8e8On05qRBjk+yxrk9Nw1m5/3fGWq/nxvWU/+nHz5UJ7Ruaon36aL+vNs0ldc+oe1y/siz7PqfV1+25398R9Pa5727gfSmrldu9Oaai7JDGuwbx53jiBDqglXpgAAAFrQTAEAALSgmQIAAGhBMwUAANCCZgoAAKAFzRQAAEALmikAAIAWNFMAAAAtlKomnOvpP/vBNLlr5ZY82Hdk64Ha5bNj9QG4ERGPnpfXRJ7RFj0zec34hXlNlaxreFc+mclnHkxrXnjulrTmvok1ac323Strl89N5uHL0ZsHuW3etCOtufueU/N19eUBa2f+RX1Y3vTy/LWCntl8m2aH8nFGduWPg76Dec3A/Y/ULp8fHUnHuO8HVqc13/qvVzV4tCxtL+95/ZJJFpx87SVdGWf75UvnbulKkO4J6twPvyOt2XzVTYswkxPTtfMfXToPhBa6dmxKwnR7RkfTIaoLNuU1fflz3NSq/Bxs57/IQ3vnhutvmtH70yHi9Dffm9b88pl/nQ/UwERVv93reibTMc7pb3C7NAjK/fP9G9Ka930zD3Le+IN31y6vpvLg5ONN6R9Ia9Iw44i4dvZDT/igdGUKAACgBc0UAABAC5opAACAFjRTAAAALWimAAAAWtBMAQAAtKCZAgAAaEEzBQAA0EJtaO93vfMDaYrY6LY85GpyXX246or78oCwhy4dSmt6p9OSOO0DX0hrxt9yaT5QEilYNWhTV391Ii9qMM7ccB4It/tZ9WGvcy9/NB1j2WB+A589tieteeTQsrTmrttPT2uqofp978y/ym+8/gN5kO6+M/KwwuEGob2lQYzj4K76AMAm9/XO5+bBvl//gNBelo4s9Pjsd92ejvHHmz7Xreksisv+3dvTmpGP3bwIM1l6jvvQ3t435MemBiGtWWhvEz2D+fPX/PRMPtB8fq7Xjfk2ul2aaDKXkp8j9F5wTu3ytb+/Ix3j3Rs+ldac3Z8HMM9V82nNDYf60pp3fvnNtcvPets96RjzBw6kNYsqu78b3NfR4Pa9du4jQnsBAAC6RTMFAADQgmYKAACgBc0UAABAC5opAACAFjRTAAAALWimAAAAWtBMAQAAtFCb7nXqx+9NB9h55dlpzexIfZjW1Ko8iHRgb1oSI7vzwK3qBc/KB2pgeHd9SOvQrkPpGNtetiKtGXsg36Ym1v/jvtrlk9uWp2P0zORhen2/uCut6e/Nw/82XfBwWnP/trW1yx96S34fLL8uDxA+9eN5gN3Bp29Ma/aeO5DWTD+jfp84/br8gTD2QINwRVhCsnDaHR/Lx7jstXkI7g2/+TtNp3TUbb88DxXd3GC7OU51I+C2ga4F8jbRrcDdbmgylyrf7rnb76pdvvsV+Xncjzz3J9KaX/idP0xrLh/K5/vcwcm05tpLfrt2+fs/95J0jDtfOpbWzE1MpDVdk97f3TmXfjKuTAEAALSgmQIAAGhBMwUAANCCZgoAAKAFzRQAAEALmikAAIAWNFMAAAAtaKYAAABaqA3t3XVFHsi7+vYDac2+s0Zql88kob4REev/MQ//6pmcTmu2vrI+6DUiYt3X8nHmBur70IPrh9MxVt9RH/zbTdl8SoOpVA1CBu//Hxc2ndIROyNZPvFj+b7ZM5uH9o5fnj8Olm09mNb0HcxDe+eT/Or9Z4+mY4zeuz+tgRNNFvwbEXFZHF/BvhynllR47Uka4t6tUORSf643tzc/Nx265Z605j1ve2ta8xNX5eemP3fx36Y1V4w8UL+etdenY/z75W9Ia2IxQ3szTR6TR7DPuDIFAADQgmYKAACgBc0UAABAC5opAACAFjRTAAAALWimAAAAWtBMAQAAtFCbM1U1aLXmhmuHiIiIwfH6nIMyn3//++5nLU9r1l+3Pa0Z2Zmva76/S/kEHFPPWf9gWvPwNXkOwu6XbUprZsaSgKho9ng65Uv1GVGPPCPPxRr72qF8RXASapJFde7l70hrtrzx6iOeS5Mxrrjq2Ue8Ho6BJnk1SymLajFlt02S6xQRUfrz887S25vX9DUYZ9WK2uXVsjxTtOrLt6lnqkHY5831c4mI+LNVl6Q1L99cnzN1qNHJ/wmYX3YEj0lXpgAAAFrQTAEAALSgmQIAAGhBMwUAANCCZgoAAKAFzRQAAEALmikAAIAWNFMAAAAt1CaWlQaZXDPL8tCzuaH6kLYVX96RjjG0bTCt2f2iDWnN6IPT+bq27Exr9j/jtLSGY+uzNz49rVl5ZR6u2JvvMrHvzDy0d2jPfFozn4T7rb11XzrGxDPWpjXA0jf52jyAs0kQMYvsZA3kbaD01T9XlqH8XK8MDjRYUYPw3wbrqpKA4Ko/DweeG8nnW+by84P+/WlJ3P3wurRm61n198F1By5Kx6hWjeWTeTg/tz9RuDIFAADQgmYKAACgBc0UAABAC5opAACAFjRTAAAALWimAAAAWtBMAQAAtKCZAgAAaKE2jWxk92w6wMQZeWjvyO76MLLpDSvTMWaW56Goyx7K01UfPb9B2Nv5G9OS5Q82SDTmmCqnHUpr9k0OpzVn/+VEWtMzOZXWPHJJHqbXt6J+P++ZzYP9ZofzIGJg6dt+ef5Y3vyxRZgIT01pcAw+3oJ9m2xTEz3JOPP5c1yj267JdLO5RET0JqG8c/lceg/OpDWzo/m56exIWhJDw/l58Fxy47xy9BvpGNeuviytOe7ORI5gH3dlCgAAoAXNFAAAQAuaKQAAgBY0UwAAAC1opgAAAFrQTAEAALSgmQIAAGhBMwUAANBCbeJu1SDQbPShBuG1yTDbXpwnkfXmmWex+vY8ZLgvz3GNkV35OFW3Auw4ai4+/aG0ZvxPz0xrZlcMpjUzpy/LJ9QgZ7B/b/2OXqbyx9uhVV4jgRPB5qtuOtZToI3FCuQ9Sc9Dqun8hLD0NbgPpvKA2zJb/5xbBvOw3fmRoXwqa/JxpsfybTp3xd60Zk3PVO3y8fl8Ln07J9KaBt3BCcNZFwAAQAuaKQAAgBY0UwAAAC1opgAAAFrQTAEAALSgmQIAAGhBMwUAANCCZgoAAKCF2tDe/af1pgOUBrloq+6oT8pdcW/e0w3tyeO/Bsbrg8giIqqePDxtZiSfT9/BRQrlo7Wvf/nstOaUlfk4+zbWPkwiImLdrfvTmqGd+boObhiuXd4/mD8m133lYL4i4Jh66/2XN6jKgzFZgpqE6S5WsO9irScioqfBOWNy21Szs/kYfflzcpNxYqA/X9dccu4502A9vfn+MN+X18ysmE9r/tWpX0lr5qJ+Xb+6/cp0jPn7HkxrlpSjHHDtyhQAAEALmikAAIAWNFMAAAAtaKYAAABa0EwBAAC0oJkCAABoQTMFAADQgmYKAACghdrks/n+PORq/ef3pjUHzh6tXb5/Y97TlTyzN+YG80DeJuNML28S2ttgII6poTP3pTVzXxlLa6o8hzB2P7N+H4+IWPel8bRmaixZWYP8xaHd9k1o64WXfnNR1nPjTU9LazbHTYswE46JpRTs20SXQk+rufrg2dLb4DX+LEg3IkpvgyfuJsG+/fXBvtXocDrE3OhgWrPvjHy+5138QFrzwuEtac2eufpz5ZtvOzcd44Lq1rTmuFPaX19yZQoAAKAFzRQAAEALmikAAIAWNFMAAAAtaKYAAABa0EwBAAC0oJkCAABooTZnamRn/l3+hzaMpDXL7t9fu3z5DTvTMWbP25DW7H5mPpeqr0FWQn0MAseJdf+3wb55+7a0Znrj6rRmYPt4WnPfm/J9eN2tM7XLm+Sb9R6YTmvgZHT3By9Na67ZdPUizCRiw+eWUIYQi68bGVLdyqHqyTOOSk93cqYiGafq1jZN58+DjbZpKMkvbZC/NXlqnjM1cX6eefXGdXelNePz+bp++o431C6/8Ko8a2++SUZXt3Qp4+xocmUKAACgBc0UAABAC5opAACAFjRTAAAALWimAAAAWtBMAQAAtKCZAgAAaEEzBQAA0EJtaG/vTB6eNvxgfSBvRMShU5fVLh+aW5eO0Td+MK1ZdVft5kRExCNPywPNVmxdxDAyjpr+yfx+3PkvT09rlu3Ix5kdzffhDTfm+/DMaP0+PHFWvv+u+mZ98C+crLa8cXECeSMi3nr/5bXLRz528yLNhEXXreDZboSVNplLNd9goDzYt5pvsK75+ufTRkG6Jb8OUDW4VFCazHdurn7xaP6cPLkun8yyUyfSmvX9e9Oav9v39LRm4HdX1y6fn9ySjrGomuzD2WOlwT5zJFyZAgAAaEEzBQAA0IJmCgAAoAXNFAAAQAuaKQAAgBY0UwAAAC1opgAAAFrQTAEAALRQmxA6MJ6Hle54wcq0ZviR+sCt8c35GKdd81BaMzuch8r1TuXhX32T9SFtTdfFsdV7IA+vHZwYSGtKvjtE/758Xbu+ayStGdlRv7Lh3flkevfm4cDA0XXv+y6qXT4SQntPWN0I243oXvhvpkkIbpOA2ybhv0c5PPWfVtPkPuhtcB43Mly7uOrPx9h3dr6ai9fsTmu+ObkhrfnLm5+b1lxw/4H6gga3SzWb9wdd0+S+zParRsHU7bkyBQAA0IJmCgAAoAXNFAAAQAuaKQAAgBY0UwAAAC1opgAAAFrQTAEAALSgmQIAAGihNrS3b+9UOsDQnjz0dMVnbq9dvnzzGekYu194alqz8s7JtGZi07K05uFLBtOatV9bxMAyWumZyMNr+/cNpTWzI3mA3cE1+ThN9M7UByP2TufBc1MbV3RlLnA8Wf+FsWM9hX9m5GNCeU9aTYJpGwXcdin8N9NgLqVJwG3kNaWv9rQzoie/7cpgfo4WvQ3ugzWr0pID59TXbHtxsj0RcdZzH0xrXrf+lrTmhr0XpDUDe/L7oGey/tx+vsn+22TfXKzQ6YjuhPIeQaC0K1MAAAAtaKYAAABa0EwBAAC0oJkCAABoQTMFAADQgmYKAACgBc0UAABAC5opAACAFurTxvryXmvZtkNpzfy5G2uX9+4YT8foPW80renbcyCtOfUfptOaaiAPYTu4fjit4dja893r0pqqJw+eG7s3D/9ddigPcT7UYJ85cEr9vjcwkD8mV37xobQGjid3f/DStOaaTVcvwkwWvPX+yxtUTRz1eXCS61o4cD5ONZ8HsJYGz6fpGFmob0SjQN4m48wP5jU9c/Xb3TOXDhEvWrslrTm1b29ac/2W89KaM6/Lz3Fj5yP1y7twPzbWrWDqIwjc7QZXpgAAAFrQTAEAALSgmQIAAGhBMwUAANCCZgoAAKAFzRQAAEALmikAAIAWNFMAAAAt1CaW7T9zJB1g9P48KPfQ+vpxDjxzLB1j3Q0PpzWz6/JxplcOpDV7z+1Pa1ZsmaldPrk+D4Nb/kAerrZ/Yz7fZQ/XzyUiYnakvm+e68+D0/a9OQ+hnNyyIq2ZG85DBC/6jUfTmv0XrKpdvvJb+9Mx5vt705qDpw3lNavyQN5TbtqT1gw8Wr+unpn8tptbmz8OgCfWJJB3x/MF8rIENAnk7dY4XQr2jdn6gPsqWR4REQe7cx2gHJhMa4YeqF/X6jUXpWNs+oHdac3K3nwu83P5edrQtx5Ka+b27atdXs01SCLulqrBPtMk2Lcbj4UjCP51ZQoAAKAFzRQAAEALmikAAIAWNFMAAAAtaKYAAABa0EwBAAC0oJkCAABooTYMacWN96UDzJx9alozn2QYrbhvKh3joStPS2tGt+ffjT/yYP5d/gNr84yo/n312U5Dg/n34s+M5RlHM3nUV+x+Rp5Ftfbr9ZlWBzfm2Vr7do2mNX2nHUprVl+fZzJNnrMyrRn9xq76MS5Ym46xf0N+X59y4yNpTSSZVxER21+2Jq1Zc1v2WMgzOA5szG9f4Ind+748N2Ykbl6EmXDc6lb+U7qebmX0NBgnupRF1ZUMo+7kIFX784zOzKpr70prfustL05rXrXxtrTm/PceTGtmt+c5U+n93WSfWWqyfa/JY/IIHreuTAEAALSgmQIAAGhBMwUAANCCZgoAAKAFzRQAAEALmikAAIAWNFMAAAAtaKYAAABaqE0s3fmKc9IB1nx9X1ozvby+Z5s8ZTAdY9Wd9aGzEREDj+SBZttfsiKtaWJovD4od74vDz0b+2p96GxERM9MHvS67Js705qD562rXd47nYf2nfcH+X0wvSIPEJ4bzoPRJtflYbqzQ6fULj+0On+tYG6gQTjdTB6UOzieh/+Nn5uHNPdM1YcRzg3lt8vU2HEYuAc1Nl91U1pzxVXP7sq6BPKyZKQhuF0KB24S0togkLcrYcWNAoSXjrndj6Q1q16V13y+Zzhf2fwdTaaUW0qhvN2aS7bvHeX915UpAACAFjRTAAAALWimAAAAWtBMAQAAtKCZAgAAaEEzBQAA0IJmCgAAoAXNFAAAQAulOs4C0gAAAJYCV6YAAABa0EwBAAC0oJkCAABoQTMFAADQgmYKAACgBc0UAABAC/8f619/GzsMAa8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 133ms/step - loss: 0.0079 - accuracy: 0.8134 - val_loss: 0.0075 - val_accuracy: 0.8132 - lr: 0.0010\n",
      "Epoch 17/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0083 - accuracy: 0.8133"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 32s 138ms/step - loss: 0.0083 - accuracy: 0.8133 - val_loss: 0.0089 - val_accuracy: 0.8115 - lr: 0.0010\n",
      "Epoch 18/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0082 - accuracy: 0.8132"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0LWlMbm+55p4JOZbtl77KZl7+J4/azHVzv7Dbx1JRoLV3bKJaewt8HXIi9vXLpVf70NLd3o0k6Zj4QZuZ/1cU+xYyUSW4E1XKOxEKnFNFg/+8bXdT6e8p46i/jxs75jCbWfHHfl//cdpnk9sX+W5gNVX4e9zh6M+pyDWuN/pzqjDXr+rg17h20U9sZnChLzReOTxiMxeed4XNLHygOrk9jhRoLt+NjzfemQIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZGKYAAAAAIAPDFAAAAABkKFA3tvvWn5YukKzf6IuypnQM2cyWE9OlXZK0/tX+lBeestpm5jdtS27fPNBk15jX2GkzWwb9Og+unWszQ2Pp875w0XK7xkXfu8xmZh5v2owl3fLdV9vMmO+MU9drB5LbTztspV1j4fXvs5mazf5g6rb6Mr3mAf863zE7vU7TGl/Q3F2gdBr7pk1/fKrN/PVlvjz7lbUbktsf+WSbXePm7cfZTEPFMpuZLMfe806biQXa1Odd6ffVs8hflzsv7vULTZKhIf95b8nnn7IZXysKSftW2W4BRcp2O9/sy8Lf+tFbbeb8pkeS23uiv49bUOXvB4cKPAdbRv2++sbSmdv6W+wal99xic1ozF+blnwrfc8jSVXr/X1lx9vS94xTzk5//pCkzl8cYjOtT/v7lZYnt9vMwsfut5kiRc5WkbLtl8BdFwAAAABkYJgCAAAAgAwMUwAAAACQgWEKAAAAADIwTAEAAABABoYpAAAAAMjAMAUAAAAAGRimAAAAACBDssmvYsQvULfFF2VVDqZLT7sX+aKsoeZafyy+L1anX/hLm7lt1RKb2dgzJbm9a12zXWPFIdNtpq7aPwlhefpYJGnN1nTJZP+js+waVa/1z9OOG32RW/dZ/TYz7Sd1NlPxfDqz+uv+eWx9mS+zbH/EH2/nEn+8g63+8XOlvL2z/dc/GjbsX4WRB4u1/8MX8t73wc/ZTHXwJdK/veotye2b+vw1Y0FzuphckqbW7LCZBz/9Cpu54NljbcaZ88Cju72GJBX56Gl6oEDm2t0+lElFIe/BK1T7z4Pv+fj1NvPGxqdtZvlQe3L7p1e9wa4xWqB8e92aqTZz+DeGbabq8efSx7K9266xRAUuGBNkpEBZ8ayr1qQDf+/XaNIzRQ8paaxIUW4o8L6PO+/dKOQtgnemAAAAACADwxQAAAAAZGCYAgAAAIAMDFMAAAAAkIFhCgAAAAAyMEwBAAAAQAaGKQAAAADIkCwXqOlNd95I0tYCPT1Na9K//71ywC6hqn7/e+8HfG2Tblt5hM28Yl6Hzdz7xKLk9uan/ONS+asWm5l2n+8w6H6zf2wG29K/Y797ge9JGq3z+4kV/nf5z7vGPzabTvDrzL1tMLk9jPnj7Z3jM7VdvuOsSIfUSKONqG9m+usbAzP88c745ZDfESbdYKt/7op0SP31phP8vi6pTm5vXOs7Qra1tdlMZ63vcmnacK/N0IwG7EXt/uN4WmWvzfg7RumDd12a3P6yv/KFoSNr19vMkrGJ6UE6IPvXCnRRWRPV21SgQyoUuK+MBbrH9iTemQIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZGKYAAAAAIAPDFAAAAABkSLanjtb6EqzRel/+tWN2ep2qAqW9/dP9sYzV+GM5ds5am3ngufn+gEbSc+jSS5bbJW5fdozNDE/xxb5FSo8b16Yfm86j/BqLv7nJZvoO8+V/RTRs9M/lhlemy3Qr052+5f34zFb/NKliyB/vULuv/1vw7+mS5s5jWu0ag1N9KTIm3+FXb7OZjb/TbzOfnPGQzVz+g/rk9h+tON6uMe9bBYrH+0ZspmJDgQ8yAHtGkXLVnh028pPtL7OZUfl9ferUHyS3r/thq13jy7e/zmbm/dBXCNff8YjNjA0UuME6GBUp/q3wJfSK/nmKRZqTJ6KIeDfwzhQAAAAAZGCYAgAAAIAMDFMAAAAAkIFhCgAAAAAyMEwBAAAAQAaGKQAAAADIwDAFAAAAABkYpgAAAAAgQ4iJoquj/uKztgWrZrvfyVh1evuOOb5sq/kZv58pHb7Zq3OJL6IcPqXHZg5pTZerdmzy5bWnH7bCZr409w6bOfLHH7CZ9hnp4+2/q92u0TfXP75HfrnLZlafP81mdiz0ZaDT70kXwrnXnSQNTPUlgyMNfp1632esygH/Oq/rShfY9czzJXj9M/x+Vv75FQWaHPdtZ1dctHdb+vaArneeYjO/+9EbbeZ9Lc9NwNF4q0d8yfC7n3ynzewYSn+wtv9NuqBbkqo2dtnMyPMdNoO979ax7+/X16f97tpUoFy1cvECm3nyY6028xevvCm5/bUNK+0as6sKXA/kz+miVefazK/uXZzcPv9HQ3aNusfW2MzIxgI3EXu5mBYvfW3inSkAAAAAyMAwBQAAAAAZGKYAAAAAIAPDFAAAAABkYJgCAAAAgAwMUwAAAACQgWEKAAAAADIwTAEAAABAhmRp70nvuco2hFUVKCLtm5Ge2Yaa7RJqWZUuM5WkHbP9bDj1iWGb6Znji32HWtOdggvP8y3DgyN+P50D9TazoGWbX2cw3Tx7zszH7RpXr1xqM73b/fG23+4L9wbbfGfjYFt6e+M6/9rcvsRnKgf8sbQv9+t0L/Cvz6Hm9Do13f5YWlb5cuVl3//Qfl2KKe2HxZgTpOK4o2xm/enpD44zfu8+u8ZFbT6ztHbfeQo+17nEZm7/nZNtJj7uS0PjiC8VRz5Ke/dPocrf08STXpbc/qp/etCucWbTEzYzv6rbZoqU/w7H9OfTPrNdkt618iKb2fqN+TbTeo2/JmvMHw/yUdoLAAAAABOIYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZGKYAAAAAIAPDFAAAAABkYJgCAAAAgAzJ0t4zzrnSFs9tPdqXnlX3ppep6/KFvMP1fu4bq7YRVQ4VKBme6fdV05Vep/MYv5/G1X4/fSf12cwhU3053ZeO/H/J7d/eeqpd49+Xv8JmLj7hAZu5/R9OsZngXxK22Lduq38ORuv8fvpm+v7IigIdnvOu22wznSdMSx+LKcCWpP6Z/rxX/vkV+3UppnTwFmNOlqoF82zm2Uvn2MxJ5z9qMx+f/cPk9oVV/gO1Qv4lPSb/knnTuZf6dR590maQj9LeA1hIP7UVDQ1+iQKZdW8/3GYuff+PbeZP29If61WqtGusHvH3cXf1L7CZ7y5NFx5L0mi3vx9EPkp7AQAAAGACMUwBAAAAQAaGKQAAAADIwDAFAAAAABkYpgAAAAAgA8MUAAAAAGRgmAIAAACADMmeqaM/9FnblRALjGP9s9KlQa1P+EqJoWafmf7woM2seW2NzbQ+ZSPqnZM+ntF6XzNR1efPafbPdtjM+lMbbaamJ308C9+xwq5xycz7bOZLq8+wmdWbptqMOuptZOF16e6GVW/zaxSoplHzKv8i7zp+yGbal/kitO5FJlCgvWTWPb706mc3fGS/7nGR6HI5kLhumWm3+ev2t+ffbjNFeqau2nakzfzsjUfYzEjHGpvBi6NnCpMhVFXZTOW8dJfetGu22TW+Pu8Om+kd8/evp9z9fptZ+K5VNjPW53uv8OLomQIAAACACcQwBQAAAAAZGKYAAAAAIAPDFAAAAABkYJgCAAAAgAwMUwAAAACQgWEKAAAAADIwTAEAAABAhmRp75lnX2mL5zYsrbU7mXtrd3L7utOb7RoNG9PFv0UNN/ouwNrtvm9vsCW9TssqX+K6+Xj/2NVt88cSRm1EFSPpdQZb/Fw9dNZ2m6mt9oWxFy5YbjPfuflMm5l/00By+8B0X/S59nT/eihS2hsrbUQq8BIOJtO03j/ZPXP8wTxy1eX7dSmmRDEmftMznz7FZp58xxcnZF9nPvpWm6k/99kJ2dfBiNJe7C9Crb+Pe+Zbvgj8/tO+YjPD0d9EXPQHl9lMzY/utxm8OEp7AQAAAGACMUwBAAAAQAaGKQAAAADIwDAFAAAAABkYpgAAAAAgA8MUAAAAAGRgmAIAAACADAxTAAAAAJChKrVx+wJfejp7Wb/NbDl+SnJ73Rbfb9ewYdhmVOF7/ja80p9T3yF+naaO9DFvP8zvZ8ZDgzbTtdivMzTNH2/dlvT2MFagY/CBFhs58c2+kPe61cfazLTjNtnMhm0zk9trCpQvT3nOP3Y7Zvt16jf5dSoLvITHTP9fX3uBr39QF4mD0OK/fshmVr+9z2bmVNXbzFjcrztlsaeFAq+PyIX6QBAH/X3conc9aTN/e48vHf/UjAdtZsefdNlMzS2V6cDYqF0Dv4l3pgAAAAAgA8MUAAAAAGRgmAIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZkqW9I42+eK57Xp3NbDthLLl99h12CQ20V9vMUIHjrd/oi/LGqvw6w03pTOWA388zl/r9zLkh/dhJ0ki9KWCT1Dcrva8ixclNa33m5z88zmbu+v3P2MzJP7rMZg5Zk35shqb4x7d228S8HioKFPLOumW9zQwfki5GXnNWg12jaTVlkDj4jA0M2Mw5//Jhm3n8nV+wmf828xmbeXTOocntI2vW2jWwn5qsQt6JKgcusk4oUhjv71fsOkXW2M8Kj4sU+977FyfbTPXXHraZk2Z02Mzzsw9JbufatOt4ZwoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZGKYAAAAAIAPDFAAAAABkYJgCAAAAgAwMUwAAAACQIVna27rSN5H2TU8uIUlqfjJdKjvQ5gvYKn3nmUbrffFc32m9NjP1Ol+MOnrp1uT2wVum+/3c64uIe03ZriTVFSiebX4oXWjZe2itXaOq3++n+vhum/nO9mNs5g9fdafNfH3z65Lbh9tH7Brzri9QTL3Iv8ar+m1Em09LF+VJ0rApGq7b7PfjCppx4Ku8Y3Zy+8jHZ9g1wi8enqCj2XdU907Mx8anZjxoM+ceeWL6WCjGxGQoUMhbUes//1dMb7eZOMXfOz17UXqdRf+0yq4xsmGjzexv+mb4+4zRAoXGn5/9C5s568QPJLc3buu0a4z19dnMwYR3pgAAAAAgA8MUAAAAAGRgmAIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZki1hVX2jdoFtR/uisdpt6e1jNb5ULhYY+xrX+UKz7rW+VK57vt9ZQ0wfc88JvmV46i9qbGbQ9+Spd77PVIykS/lG6oqUA/vXQzSPiyRdvWqpzXxwyZ02U7M9va/qHl+K3DPHFxEvuLHHZvpm19vMphPT5dWSVG+6CIeb7RJqfs5/HODAdt7MR5Lbv37s+XaN6b77EUCuAmW6VvSfv4rsJ44W+JwxPGwjYw3+nuajl1yb3P6Jw95k1zjiA73+WHbssJl9Sf0Wf3/VH4dspjr4+4y+GelMw/CIXQO/iXemAAAAACADwxQAAAAAZGCYAgAAAIAMDFMAAAAAkIFhCgAAAAAyMEwBAAAAQAaGKQAAAADIkCyJGmj3PT0NGwp0GJhIw0bfcbD1aL+fpjU2ovaH/TotK3w/wTNHNya3X37ybXaNq4bPsZlDbi/QGTDTz8RtD21Jbl/3uul2jefe5jstQscUm7n8rB/ZzKcfPtdmGvrT2+u2+dfV9sP8Y7f2DH9OY75uTWNV/vEbnJre3rChwHNAzRSMb3zkczbzvr7LbKbt23fv/sEAB5oiHVIT1BE1EfuJI75DamRT+h5CkioL7Gv1ULo8854z/9GucfEZl9lM7c0P2Eyh52ACVNTV2cxoga7P4eg/uT865O/b3T15HPWdV/hNvDMFAAAAABkYpgAAAAAgA8MUAAAAAGRgmAIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyJAu7W3zs1aRwt2R2nRD2Kalvjht6iO+0Kx3rj/eIuWq3QvShbyS1NaSLrD7yZYj/Y4q/XmP1Pvzru3y62w9OV2UNzDdrzHliRqbGTml22Y+v/xMm3nVguds5v5VR6WPpd6/Hgan+3K69tttRJ2H+3Ll5lV+nRHz0htu9K+HwZYJKHrEfu2X3fOT29/X8pxd46uf+JzNvLf6MpuZcd1KmxndvNlmrKXH2Mh5F1IyjIPMRBUIy9/rxZ5em3my95Dk9rZpvuC29or1NlP5zGKbiWs22IyG04XGoa7WLhHaWm1m40n+fmVHgdLeiuAzrSuHkttDhX/NFDiUgwrvTAEAAABABoYpAAAAAMjAMAUAAAAAGRimAAAAACADwxQAAAAAZGCYAgAAAIAMDFMAAAAAkIFhCgAAAAAyJCtsx3wPqaoGfNlb15J0AVjdJr+jsSq/n9ptPlMxYiPaMatAUe4325Lb3/ipn9s1jmtdYzMtS/ttZuNws82s6k2X9h5e6R+YZQ8dYTOho8lmbnzLVTbzpu/+mc1MWZvePuwPRbN+5p/r7Qv81xyGpxR4fXb64xmrTm+vHPRrDLX6DA5s6989K7n92h/MsGtc3LTJZu7+5Bds5o/+4DV+nbUvtxnn0VddbTPD0Zd0F/HxTSfaTP2T6ULQAp+KcCArUqY7EQoV8k7QrobSZbCStO0P5ia3r7zJf5K7+cjrbWbwVv8RtmXMH+8jQ+l7p+V96YJ0Sfrnp9PnLElXHnuNzcyqbLCZs+/9PZtZcP/Tye1joxNznTyY8M4UAAAAAGRgmAIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZGKYAAAAAIEOytDcU6HobrfHFc0NTx5LbG5/3pb0D0/x+DrnHl73VbthhM/HkdCGvJA03pOfQL3/hzXaNw96eLk6TpJoKX542Jv/YrNqWLp7r2uobbr/2+q/ZzN+vPtdm/uzZt9nMyExfptdwf/Llq5Fu/7gUKaYenuIzscCXJboX+8ysZemiwZ7Z6XOWpNan0x9vOPCNPrEiuf2qv7/YrvGXx/nX0UO/9Tmb+dKcn9mMimSsAh/MBawe8UXpP/7mqTYzc82yiTgcHKiKlOlOVrFvkf0UON444otyRx9P3/dccf577BpX3fgNm1lcXWszsyrrbaalrjO5/dTabXaND5/yuM0MxmGbuXOg0Waar/f3cmM7+tKBSSx6PlDwzhQAAAAAZGCYAgAAAIAMDFMAAAAAkIFhCgAAAAAyMEwBAAAAQAaGKQAAAADIwDAFAAAAABkYpgAAAAAgQ7IBdKTBF7m1L/cluLVd6fK07nl+pouV/li6F9bYTF2LLz0dbvL7atyQLtMdbPUFkk/cvMRmKpZ22czwsN9XTU26TO+Exc/bNT5w/6U2M7qhwWZipS+Ea33Kn1OFKQis2eH3M+X+NTYzUjffZppX+5LhbUf4EsEdM9Pn3XWcL/ZrWlltMzi4tX/1bp8psM5ZD11hM0XKqs8565fJ7Z+d7QtwD//OB2ymSAXq4s88ZTMzt1LIi4T9rfR0Mo/X7Gvs0SftEh865UKb6fhym828deFym1lctzG5vS74z8mffPw8m4k/98c75xZfENz2VPpaKklxLH3/il3HO1MAAAAAkIFhCgAAAAAyMEwBAAAAQAaGKQAAAADIwDAFAAAAABkYpgAAAAAgA8MUAAAAAGRgmAIAAACADMkG26EpfoEtxzX6nfSnt9f0+sK4St+Jqvqtvoisd5Yvg40FRsy6renC2OFGv4h7XCRp9CetNjM8wz9+NaaTd91gi12jaYqvvNwx20ZU1e8fm8p+f069s9PPZeeJvkxvTphrM1WD/ljWneYLeduX+9dn12Hpc5p1R4Ey42EK+TA5pn3Nl/9OK7DOCrP9fJ1o11gkfyxF8NGDfcb+Vv47SUbWb7CZWW/2mWXBf95eFhakA3HMH0t8wmaKGAsFasd5zewVvDMFAAAAABkYpgAAAAAgA8MUAAAAAGRgmAIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAECGZM9Uyyr/+/P72/081vJsuiRquNF35/RP8/vpPMqvc8i9/py2HenX2fSKdD9BbWeB7qcC/Vq9zb5XoH25P6e+GenHr/XhHrvGykt88diMB2xEDRsHbWbry+r8vr64LLl9x/86xa7RdZh/fHsXpTvFJGnOrf65LNZfll6n80i/SCxQRQEA2McV6RVy6B16aUUem7gPNc/xXO5Zu/HxxjtTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZGKYAAAAAIAPDFAAAAABkYJgCAAAAgAzJ0t7a7b4MduuxvuSqaV26BLeiQCda29PDNjP1Kb/OlqOrbSYUOJ6htnR52li1f1zalg3YzMal6XJgSRowhbySVL8hfTwd57TYNaq7bUTbF/rMSK0/pylrfFHujre+Mrm9st8/B2P+5aC6jckPk9K+Bvzrs3uBX6d/ZvqYZy1LF2BL0vaFBU4KALBnTETZbqH9FPl6uL+PK6RIYWyR86Z4FnuCe+3t4dcd70wBAAAAQAaGKQAAAADIwDAFAAAAABkYpgAAAAAgA8MUAAAAAGRgmAIAAACADAxTAAAAAJCBYQoAAAAAMoRIgRoAAAAA7DLemQIAAACADAxTAAAAAJCBYQoAAAAAMjBMAQAAAEAGhikAAAAAyMAwBQAAAAAZ/j9X3cLSCEZ8OQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 134ms/step - loss: 0.0082 - accuracy: 0.8132 - val_loss: 0.0071 - val_accuracy: 0.8131 - lr: 0.0010\n",
      "Epoch 19/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0076 - accuracy: 0.8135"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 131ms/step - loss: 0.0076 - accuracy: 0.8135 - val_loss: 0.0069 - val_accuracy: 0.8127 - lr: 0.0010\n",
      "Epoch 20/20\n",
      "234/234 [==============================] - ETA: 0s - loss: 0.0079 - accuracy: 0.8134"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234/234 [==============================] - 31s 133ms/step - loss: 0.0079 - accuracy: 0.8134 - val_loss: 0.0079 - val_accuracy: 0.8126 - lr: 0.0010\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "import tensorflow_addons as tfa\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras import Model\n",
    "from tensorflow.keras.layers import (\n",
    "    Activation,\n",
    "    BatchNormalization,\n",
    "    Concatenate,\n",
    "    Conv2D,\n",
    "    Conv2DTranspose,\n",
    "    MaxPooling2D,\n",
    "    Input,\n",
    ")\n",
    "\n",
    "IMAGE_HEIGHT = 28\n",
    "IMAGE_WIDTH = 28\n",
    "IMAGE_DEPTH = 1\n",
    "BATCH_SIZE = 256\n",
    "EPOCHS = 20\n",
    "NOISE = (0.1, 0.3)\n",
    "CUT_OUT_SQUARE = 12\n",
    "\n",
    "\n",
    "def activation(x):\n",
    "    y = BatchNormalization()(x)\n",
    "    y = Activation(\"relu\")(y)\n",
    "    return y\n",
    "\n",
    "\n",
    "def conv_block(x, num_filters):\n",
    "    x = Conv2D(num_filters, 3, padding=\"same\")(x)\n",
    "    x = activation(x)\n",
    "\n",
    "    return x\n",
    "\n",
    "\n",
    "def encoder_block(x, num_filters):\n",
    "    x = conv_block(x, num_filters)\n",
    "    p = MaxPooling2D((2, 2))(x)\n",
    "    return x, p\n",
    "\n",
    "\n",
    "def decoder_block(x, skip_features, num_filters):\n",
    "    x = Conv2DTranspose(num_filters, (2, 2), strides=2, padding=\"same\")(x)\n",
    "    x = Concatenate()([x, skip_features])\n",
    "    x = conv_block(x, num_filters)\n",
    "    return x\n",
    "\n",
    "\n",
    "def unet_model():\n",
    "    fac = 4\n",
    "    inputs = Input([IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_DEPTH])\n",
    "\n",
    "    s1, p1 = encoder_block(inputs, 64 / fac)\n",
    "    p1 = Conv2D(64 / fac, 7)(p1)\n",
    "    s2, p2 = encoder_block(p1, 128 / fac)\n",
    "    s3, p3 = encoder_block(p2, 128 / fac)\n",
    "    s4, p4 = encoder_block(p3, 128 / fac)\n",
    "\n",
    "    b1 = conv_block(p4, 256 / fac)\n",
    "\n",
    "    d1 = decoder_block(b1, s4, 128 / fac)\n",
    "    d2 = decoder_block(d1, s3, 128 / fac)\n",
    "    d3 = decoder_block(d2, s2, 128 / fac)\n",
    "    d3 = Conv2DTranspose(64 / fac, 7)(d3)\n",
    "    d4 = decoder_block(d3, s1, 64 / fac)\n",
    "\n",
    "    outputs = Conv2D(IMAGE_DEPTH, 1, padding=\"same\", activation=\"sigmoid\")(d4)\n",
    "\n",
    "    model = Model(inputs, outputs, name=\"U-Net\")\n",
    "    return model\n",
    "\n",
    "@tf.function\n",
    "def normalize(image, label):\n",
    "    image = tf.cast(image, tf.dtypes.float32)\n",
    "    image = tf.divide(image, 255.0)\n",
    "    \n",
    "    label = tf.cast(label, tf.dtypes.float32)\n",
    "    label = tf.divide(label, 255.0)\n",
    "    \n",
    "    image = tf.reshape(image, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_DEPTH))\n",
    "    label = tf.reshape(label, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_DEPTH))\n",
    "\n",
    "    return image, label\n",
    "\n",
    "@tf.function\n",
    "def random_cut_out(images, labels):\n",
    "    coin = tf.random.uniform((), 0.0, 1.0)\n",
    "    if coin >= 0.5:\n",
    "        images = tfa.image.random_cutout(images, CUT_OUT_SQUARE, constant_values=0)\n",
    "    return images, labels\n",
    "\n",
    "@tf.function\n",
    "def gn(image, label):\n",
    "    noise = tf.random.normal(shape=tf.shape(image), mean=0.0, stddev=tf.random.uniform((), *NOISE)\n",
    "    , dtype=tf.float32)\n",
    "    noise_img = tf.add(image, noise)    \n",
    "    return noise_img, label\n",
    "\n",
    "(x_train, _), (x_test, _) = keras.datasets.mnist.load_data()\n",
    "\n",
    "train = tf.data.Dataset.from_tensor_slices((x_train, x_train)).map(normalize).repeat(EPOCHS).map(gn).shuffle(100).batch(BATCH_SIZE).map(random_cut_out)\n",
    "test = tf.data.Dataset.from_tensor_slices((x_test, x_test)).map(normalize).map(gn).shuffle(100).batch(BATCH_SIZE).map(random_cut_out)\n",
    "\n",
    "model = unet_model()\n",
    "\n",
    "opt = tf.keras.optimizers.Adam(learning_rate=1e-3)\n",
    "loss = tf.keras.losses.MeanSquaredError()\n",
    "metrics = [\"accuracy\"]\n",
    "\n",
    "model.compile(\n",
    "    optimizer=opt,\n",
    "    loss=loss,\n",
    "    metrics=metrics,\n",
    ")\n",
    "\n",
    "tf.keras.utils.plot_model(model, show_shapes=True)\n",
    "\n",
    "reduce_lr = tf.keras.callbacks.ReduceLROnPlateau(\n",
    "    monitor=\"val_loss\", factor=0.5, patience=7, min_lr=1e-5\n",
    ")\n",
    "\n",
    "STEPS_PER_EPOCH = len(x_train) // BATCH_SIZE\n",
    "VALIDATION_STEPS = len(test) // BATCH_SIZE\n",
    "model.summary()\n",
    "\n",
    "def show_predictions():\n",
    "    maxx = 0\n",
    "    for image, label in test:\n",
    "        if maxx == 3:\n",
    "            break\n",
    "        maxx += 1\n",
    "        den = model.predict(image)\n",
    "        \n",
    "        plt.figure(figsize=(15, 15))\n",
    "        \n",
    "        plt.subplot(1, 3, 1)\n",
    "        plt.title(\"image\")\n",
    "        plt.imshow(image[0])\n",
    "        plt.axis(\"off\")\n",
    "        \n",
    "        plt.subplot(1, 3, 2)\n",
    "        plt.title(\"label\")\n",
    "        plt.imshow(label[0])\n",
    "        plt.axis(\"off\")\n",
    "        \n",
    "        plt.subplot(1, 3, 3)\n",
    "        plt.title(\"witouht noise\")\n",
    "        plt.imshow(den[0])\n",
    "        plt.axis(\"off\")\n",
    "        \n",
    "        plt.show()\n",
    "\n",
    "\n",
    "class LossAndErrorPrintingCallback(tf.keras.callbacks.Callback):\n",
    "  def on_epoch_end(self, epoch, logs=None):\n",
    "    show_predictions()\n",
    "\n",
    "show_predictions()\n",
    "history = model.fit(\n",
    "    train,\n",
    "    epochs=EPOCHS,\n",
    "    steps_per_epoch=STEPS_PER_EPOCH,\n",
    "    validation_data=test,\n",
    "    callbacks=[reduce_lr, LossAndErrorPrintingCallback()],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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