Point_Two.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SECOND POINT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will to improve our results by building different CNN with different characteristics. We perform data augmentation in order to have more data to train my network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "importing Jupyter notebook from dataSetUtility.ipynb\n",
      "importing Jupyter notebook from plottingUtility.ipynb\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import glob\n",
    "import scipy\n",
    "import cv2 as cv2\n",
    "import numpy as np\n",
    "import keras as ks\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "import seaborn as sn\n",
    "import pandas as pd\n",
    "\n",
    "from keras import optimizers, initializers\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Conv2D, Dense, Flatten, Dropout, MaxPooling2D, AveragePooling2D\n",
    "from keras.callbacks import EarlyStopping\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.utils import to_categorical\n",
    "from keras.regularizers import l2\n",
    "from keras.utils import plot_model\n",
    "from keras.layers.normalization import BatchNormalization\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "\n",
    "import import_ipynb\n",
    "import dataSetUtility as dsu\n",
    "import plottingUtility as pltu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DATA AUGMENTATION"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To improve the results we try to increase the number of data following a transformation from left to right. To do this we use a method from the dataSetUtility."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Class number:  15\n",
      "Class names:  ['Bedroom', 'Coast', 'Forest', 'Highway', 'Industrial', 'InsideCity', 'Kitchen', 'LivingRoom', 'Mountain', 'Office', 'OpenCountry', 'Store', 'Street', 'Suburb', 'TallBuilding']\n"
     ]
    }
   ],
   "source": [
    "#path to the directories\n",
    "pathTrain=r'C:\\Users\\adria\\Desktop\\CVPR\\ImageSet\\train'\n",
    "pathTest=r'C:\\Users\\adria\\Desktop\\CVPR\\ImageSet\\test'\n",
    "\n",
    "labels = [os.path.basename(i) for i in glob.glob(pathTrain + '/*', recursive=True)]\n",
    "numberOfClasses = len(labels)\n",
    "print(\"Class number: \", numberOfClasses)\n",
    "print(\"Class names: \", labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train len:  3000\n",
      "Train label len:  3000\n",
      "---------------------------------\n",
      "Test len:  2985\n",
      "Test label len:  2985\n"
     ]
    }
   ],
   "source": [
    "xTrainAug, yTrainAug = dsu.dataAugmentation(pathTrain, labels)\n",
    "xTest, yTest = dsu.loadImages(pathTest, labels)\n",
    "print(\"Train len: \", len(xTrainAug))\n",
    "print(\"Train label len: \", len(yTrainAug))\n",
    "print(\"---------------------------------\")\n",
    "print(\"Test len: \", len(xTest))\n",
    "print(\"Test label len: \", len(yTest))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "yTrainCategorical = to_categorical(yTrainAug)\n",
    "yTestCategorical = to_categorical(yTest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len Train Set:  2550\n",
      "len Validation Set:  450\n",
      "len Test Set:  2985\n"
     ]
    }
   ],
   "source": [
    "xTrain, xValidation, yTrain, yValidation = train_test_split(xTrainAug, yTrainCategorical, train_size=0.85, random_state=275)\n",
    "print('len Train Set: ',len(xTrain))\n",
    "print('len Validation Set: ',len(xValidation))\n",
    "print('len Test Set: ',len(xTest))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CNN MODEL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initially we try to apply the data augmentation to the cnn of point one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "sgd = ks.optimizers.SGD(momentum=0.9,nesterov=True)\n",
    "norm = ks.initializers.RandomNormal(mean=0.0, stddev=0.01, seed=None)\n",
    "baseModel = Sequential([\n",
    "    #first convolutional layer\n",
    "    Conv2D(8, 3,strides=1, padding='valid', activation='relu', input_shape=(64,64,1)),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    \n",
    "    #second convolutional layer\n",
    "    Conv2D(16, 3,strides=1, padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    \n",
    "    #third convolutional layer\n",
    "    Conv2D(32, 3,strides=1, padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    Flatten(),\n",
    "    Dense(numberOfClasses, activation='relu',kernel_initializer=norm, bias_initializer='zeros'),\n",
    "    Dense(numberOfClasses, activation='softmax')\n",
    "])\n",
    "\n",
    "baseModel.compile(loss='categorical_crossentropy', optimizer=sgd, metrics = ['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "80/80 [==============================] - 3s 32ms/step - loss: 2.7045 - accuracy: 0.0712 - val_loss: 2.6862 - val_accuracy: 0.0867\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 1s 18ms/step - loss: 2.6655 - accuracy: 0.1111 - val_loss: 2.6274 - val_accuracy: 0.0933\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 1s 19ms/step - loss: 2.5313 - accuracy: 0.1557 - val_loss: 2.5543 - val_accuracy: 0.1667\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 1s 19ms/step - loss: 2.3574 - accuracy: 0.2415 - val_loss: 2.3308 - val_accuracy: 0.2556\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 1s 18ms/step - loss: 2.1553 - accuracy: 0.2971 - val_loss: 2.0790 - val_accuracy: 0.2889\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 2s 20ms/step - loss: 1.8969 - accuracy: 0.3697 - val_loss: 1.8318 - val_accuracy: 0.3822\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 2s 21ms/step - loss: 1.7299 - accuracy: 0.4114 - val_loss: 1.7881 - val_accuracy: 0.4267\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 2s 19ms/step - loss: 1.6878 - accuracy: 0.4381 - val_loss: 1.6200 - val_accuracy: 0.4711\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 1s 18ms/step - loss: 1.3771 - accuracy: 0.5368 - val_loss: 1.6245 - val_accuracy: 0.4578\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 1s 19ms/step - loss: 1.1355 - accuracy: 0.5947 - val_loss: 1.7401 - val_accuracy: 0.4156\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 2s 19ms/step - loss: 0.9616 - accuracy: 0.6630 - val_loss: 1.7097 - val_accuracy: 0.4444\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 2s 20ms/step - loss: 0.7449 - accuracy: 0.7252 - val_loss: 1.7348 - val_accuracy: 0.4600\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 2s 20ms/step - loss: 0.5628 - accuracy: 0.8087 - val_loss: 2.0551 - val_accuracy: 0.4422\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 2s 20ms/step - loss: 0.4119 - accuracy: 0.8654 - val_loss: 2.4190 - val_accuracy: 0.4311\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 2s 21ms/step - loss: 0.3053 - accuracy: 0.9014 - val_loss: 2.3702 - val_accuracy: 0.4622\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 2s 20ms/step - loss: 0.2258 - accuracy: 0.9234 - val_loss: 2.6869 - val_accuracy: 0.4556\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 2s 19ms/step - loss: 0.1764 - accuracy: 0.9434 - val_loss: 2.8385 - val_accuracy: 0.4489\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 2s 19ms/step - loss: 0.1294 - accuracy: 0.9630 - val_loss: 3.1920 - val_accuracy: 0.4178\n"
     ]
    }
   ],
   "source": [
    "earlyStopping = EarlyStopping(min_delta=0.10,patience = 10, monitor='val_loss')\n",
    "\n",
    "history=baseModel.fit(xTrain, yTrain, \n",
    "                      batch_size=32,epochs=100,\n",
    "                      validation_data=(xValidation, yValidation),\n",
    "                      shuffle=True,callbacks=[earlyStopping])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "94/94 [==============================] - 1s 7ms/step - loss: 3.5638 - accuracy: 0.3866\n"
     ]
    }
   ],
   "source": [
    "baseModel.evaluate(xTest, yTestCategorical)\n",
    "\n",
    "prediction = baseModel.predict(xTest) \n",
    "yPred = dsu.predictClass(prediction)\n",
    "cm=confusion_matrix(yTest, yPred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plotConfusionMatrix(cm, labels, \"confusion_matrix_augmentation\", \"images_point_two/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.validationLoss(history, \"images_point_two\", \"validation_loss_1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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b+m7tTkS4tHc8o3q1Y1HWXh7/dAv3pq7hmbRs7rvsbEb3TfD5RSBfW76D/5mXxYBOLXnp5sG0qsNh1f7WLi6aUXHRDOp8Fne8lsHP3l7NvqMl3HZht0BHq5EvN0KmA0ki0k1EooCJwDzPBqraTVW7qmpXYDZwt6p+ICLNRSQWQESaA1cAG3yY1YS4vYUn+Olbq+nSqhn/uKF/wDYNhYUJj43vT6+EOO55azXZ+4765XWz9xXxw2e/Ysnm/YztGcnyBy/lTz/s59OC4UlEGN0vgYX3XsTTNw6kwqXc/eYqrnnqS15bvoP8ghP1/pqqyt8+3sRDH2Zxaa92vHX7sJAoGJ5aNovi9duGMrpvAn+av5E/f7QRlyu4r3fms6KhquXAdNxHRX0DvKuqWSIyTUSm1dA9HvhSRNYCK4GPVPVjX2U1oa203MXdb66iuLSc56ckExvgM5ibRUXwws0pNIkM47ZXMzhSXOrT11u6ZT9jn/2KwuNlvHXHUMb0jKrTSYz1ISxMuPa8RD75+cU8PqE/5RUuHvowi2H/t5ixz37FjC+2suPAsTN+nbIKF798b+2pQ6pn/Dg5ZM4fqSw6MpxnJg9iyrAuvPCf7fz83TWUlrsCHataPt1tr6oLgAWVxs2opu1PPJ5vA/r7MptpOP780UYydx7m6RsHkhQfG+g4gPsksOenJDNp5tf89K1VvHLLkHo/ukhVeWXZDv40fyNnx8fy4s0pdDyrGUt21OvL1El4mDB2YEfGDuxI9r6jfLwhn0VZe/nrwk38deEmeiXEckXfBEb3TaB3+9r9mx0rKeeuN1exdMt+fn7Z2dxzac+QP7kuPEx4ZExfElpE8/dFmzlQVMKMHwf+B1BVQutYL2Mqmbs6h1eX7+T2C7tx7XmJgY7zHcldWvHnsf341ex1/O/8jfxxTL96m3dpuYv/mbeBt1fu5oo+8Tw+YUDQHrrZs10s00fFMn1UEjmHi1mUtZdFWfk89fm3PLn4Wzq3akafuFJiux1iYKezTrsPZP/REm59JZ2Newr564/OZeKQzn58J74lIvx0ZE/i46J5YM46xj+/gldvGUy7uOA67yc4P2XGeGFjXiG/eX89Q7u14sGregU6TpVuSOnE5vyjvPjlds5JiOPGoWf+JXfoWCl3vZHJ19sP8dORPfjl5eeEzB0HO57VjNsu7MZtF3Zj/9ESPvvGXUA+3VLMx88tp21sE67oE8/ofgkM6976O2tnOw4c46ZZK9l39AQzpyRzae/4AL4T3xmX3JE2MVHc/eYqxj67jNduG0IPP+2b8oYVDROSCorLmPZGJi2aRvL0jYOC+kqzv7m6N9/uK+KhDzfQvW1zhnVvXed5bdl7lNteTWdvYQlPTBhw6rpJoahtbBMmDenMpCGdWfBpGmVtz2ZRVj7vr8rlza93ERcdwWW947myXwJnNYvirjcycany9h3DGNj5rJpfIIRdck47UqcO45aX07n+uWW8dPPg71ziJZCC93+aMdVwuZRfvLuGPQXHeXZyMm1jg/veFuFhwpOTBtK5dTPueiOT3YeK6zSfzzft5UfPLuNEmYt3pg4L6YJRWbNIYcyADjw7OZnVD13OCzelcHmfBBZv2sedr2cy/vnlNI0KZ85dwxt8wTjpvI4tef/u4e6rLL+4gk837g10JMCKhglBT32ezeJN+/jDtX2C5tdXTVo0jeSlmwdT4VJufzWDopJyr/uqKjOXbuW2VzPo2qYZ86Zf0KC/OKMjw7m8TzyPje9Pxu8v443bhvLgVb14/+7hfjuEOFh0ad2cOXcN5+z4WO58PYO3vt4V6EhWNExoSdu8jycWb+FHAzswJcTuYdGtTXOemTyI7P1F3Je6xqvj8UvKK7j/vXX8ZcEmruqXwLt3nk/7Fk39kDY4RIaHcWFSG6Zd3CNoLwTpa21imvD2HcMYcXZbfjt3Pf/8dMvJq2YEhBUNEzJ2HSzmvtQ1nBMfy5/HnhuSh1lelNSWP1zTm8++2cs/Ptl82rYHikq48YWvmbMqh3svTeLpSYNoFmW7IRuj5k0ieOGmFMYld+TJxd/y4Jz1lFcE5lwO+wSakHCirIJpb2S6b905JXRP5AK4eXhXNu89yrNLtnJOQmyVl+7emFfIHa9lcPBYCU/fODDoDic2/hcZHsbfx51HQlw0T6dls7/I/dnw9w8JW9MwQU9V+d3cDWzcU8i/Jg6kS+vmgY50RkSEP/6gH0O6teLXs9exdveR70xflJXPuBnLqHAp79053AqGOUVEuP/Kc/jTD/uRtnkfN77wNQeLSvyawYqGCXpvfr3r1Caakb38dwFAX4qKCOO5yYNoG9uEO17LYG/hCVSVZ9KyufP1TJLaxTBv+gX1cota0/BMGdaF5yYn882eQsbNWF7nI/LqwoqGCWqrdh3mj//OYuQ5bbn30qRAx6lXrWOa8MJNKRSVlDP1tQzue2cNf1+0mTEDEnnnzvOD7kxgE1xG90vgzduHcuhYKeNmLONYLY7IOxO2T8MErQNFJdz9xioSWkTz+IQBIXPWc230bh/H4xMGcOfrmazNKeBXV57D3Zf0CMmd/Mb/Urq2Yva081mbU+C3y8hY0TBBqbzCxfS3VnG4uJT37x5Oy2ahdcnr2riybwLPTR5E8yYRjDi7bc0djPGQFB/r1wt1WtEwQelvizazYtshHruhP30TG/52/avObR/oCMZ4xfZpmKCzYP0eZi7dxpRhXbg+uWOg4xhjPFjRMEEle99RfvXeWgZ2bskfru0T6DjGmEqsaJigcfREGVNfz6RpVDjPTU4mKsI+nsYEG5/+rxSR0SKyWUSyReTB07QbLCIVIjKutn1Nw6Cq/Hr2OnYeLOapSYNIaGGHmxoTjHxWNEQkHHgGuAroA0wSke9tb3DaPYr7XuK16msajplLt7FwQz4Pju7F+T3qfr8JY4xv+XJNYwiQrarbVLUUSAXGVNHuZ8AcYF8d+poGYFn2AR79eBPXnNue2y/qFug4xpjT8OUhtx2A3R7DOcBQzwYi0gEYC4wCBtemr8c8pgJTAeLj41myZEmdwhYVFdW5b6CEWuaq8h487uLh5cdJaCZcG1/AF198EZhw1Qi1ZQyW2R9CLS/UX2ZfFo2qTmmtfBH4J4AHVLWi0hmw3vR1j1SdCcwESElJ0UsuuaTWQQGWLFlCXfsGSqhlrpy3pLyC8c+vQKWM1+68gJ7tgu8GO6G2jMEy+0Oo5YX6y+zLopEDdPIY7gjkVWqTAqQ6BaMNcLWIlHvZ14S4P/57I2t3H2HGjwcFZcEwxnyfL4tGOpAkIt2AXGAicKNnA1U9tQFbRF4B5qvqByISUVNfE9rezdjNW1/vYtrFPRjdz86GNiZU+KxoqGq5iEzHfVRUODBLVbNEZJozfUZt+/oqq/GvDbkF/P6DDQzv0Zr7rzg70HGMMbXg02tPqeoCYEGlcVUWC1X9SU19Teg7fKyUaW9k0qZ5FE9NGkhEuJ3AZ0wosQsWGr9xqXLvO2vYV1jCu9POp3VMk0BHMsbUkhUN4zcfZJexdOt+/jL2XAZ0ahnoOMaYOrBtA8YvlmUfYN7WMsandGTSkE41dzDGBCUrGsYvZn21nZZNhEfG9LO70hkTwqxoGJ/bf7SEtM37GZ4YQXRkeKDjGGPOgBUN43MfrsmlwqVc2MF2oRkT6qxoGJ+bnZlD/04tSYyxj5sxoc7+FxufysorYFP+UcYN6hDoKMaYemBFw/jU7MwcosLDuK5/YqCjGGPqgRUN4zOl5S4+XJPHZX3a0bJZVKDjGGPqgRUN4zNLNu/j0LFSxiV3DHQUY0w9saJhfGbOqhzaxDRhRFLbQEcxxtQTKxrGJw4dK+XzTfsYOzDRLkpoTANi/5uNT8xbk0tZhXK9bZoypkGxomF8YvaqHPp1iKNXQlygoxhj6pEVDVPvNuUXsiG3kHGDbC3DmIbGp0VDREaLyGYRyRaRB6uYPkZE1onIGhHJEJELPabtEJH1J6f5MqepX3Myc4gMF34wwE7oM6ah8dnFgEQkHHgGuBzIAdJFZJ6qbvRothiYp6oqIucB7wK9PKaPVNUDvspo6l95hYu5q/MY1asdrZrbuRnGNDS+XNMYAmSr6jZVLQVSgTGeDVS1SFXVGWwOKCakLf12PweKSrjeNk0Z0yD5smh0AHZ7DOc4475DRMaKyCbgI+BWj0kKfCIimSIy1Yc5TT2ak5lL6+ZRjOzVLtBRjDE+IP/9oV/PMxa5AbhSVW93hqcAQ1T1Z9W0HwE8pKqXOcOJqponIu2AT4GfqerSKvpNBaYCxMfHJ6emptYpb1FRETExMXXqGyjBlrmoVLkvrZiRnSOY3Pv79/8OtrzesMz+EWqZQy0vVJ955MiRmaqa4vWMVNUnD+B8YJHH8G+A39TQZzvQporxDwP31/SaycnJWldpaWl17hsowZb5tWXbtcsD83VD7pEqpwdbXm9YZv8Itcyhlle1+sxAhtbiu92Xm6fSgSQR6SYiUcBEYJ5nAxHpKc69P0VkEBAFHBSR5iIS64xvDlwBbPBhVlMPZq/KpVdCLH0TWwQ6ijHGR3x29JSqlovIdGAREA7MUtUsEZnmTJ8BXA/cJCJlwHFggqqqiMQDc516EgG8paof+yqrOXPZ+46ydvcRfn9N70BHMcb4kE/vv6mqC4AFlcbN8Hj+KPBoFf22Af19mc3Ur9mZuYSHCWPs3AxjGjQ7I9ycsQqXMnd1DiPPaUvb2O/vADfGNBxWNMwZ+zL7AHsL7dwMYxoDKxrmjM3OzKFls0hG9bZzM4xp6KxomDNScLyMT7Ly+UH/RJpEhAc6jjHGx6xomDPy0bo9lJS77JauxjQSVjTMGZmzKoekdjGc28HOzTCmMbCiYeps2/4iMnceZlxyR5xzaowxDZwVDVNn76/KJUxg7EA7N8OYxsKKhqkTl0t5f1UOI85uS7u46EDHMcb4iRUNUyfLtx0kr+CEnZthTCNjRcPUyezMHGKjI7i8T3ygoxhj/KjGoiEi14qIFRdzytETZSzcsIfr+icSHWnnZhjTmHhTDCYC34rI30TELmFqWLg+nxNldm6GMY1RjUVDVX8MDAS2Ai+LyHIRmXryfhem8Zm9KofubZozsFPLQEcxxviZV5udVLUQmAOkAu2BscAqEany1q2m4dp1sJiV2w9xvZ2bYUyj5M0+jetEZC7wORCJ+z7fV+G+38X9Ps5ngsycVTmIwI8G2bkZxjRG3tyE6QbgcVVd6jlSVYtF5FbfxDLByOVS5qzK4cKebWjfommg4xhjAsCbzVP/A6w8OSAiTUWkK4CqLj5dRxEZLSKbRSRbRB6sYvoYEVknImtEJENELvS2r/G/lTsOkXP4uJ2bYUwj5k3ReA9weQxXOONOS0TCgWeAq4A+wCQR6VOp2WKgv6oOAG4FXqxFX+NnszNziGkSwZV9EwIdxRgTIN4UjQhVLT054DyP8qLfECBbVbc5fVKBMZ4NVLVIVdUZbA6ot32Nfx0rKWfB+j1cc257mkbZuRnGNFbe7NPYLyI/UNV54N6kBBzwol8HYLfHcA4wtHIjERkL/B/QDrimNn2d/lOBqQDx8fEsWbLEi2jfV1RUVOe+geLPzF/lllFcWkGP8P22jIOcZfa9UMsL9ZhZVU/7AHoAK4BduL/IlwE9veh3A/Cix/AU4KnTtB8BfFaXvicfycnJWldpaWl17hso/sw8aeZyHfG3z9XlctV5HraM/cMy+16o5VWtPjOQoTV8t3o+alzTUNWtwDARiQFEVY96WY9ygE4ewx2BvNO8zlIR6SEibWrb1/hWzuFilm09yC8uP9vOzTCmkfNm8xQicg3QF4g++aWhqo/U0C0dSBKRbkAu7suR3Fhpvj2BraqqIjII976Sg8CRmvoa/5m7Khew+2YYY7woGiIyA2gGjMR9dNM4PA7BrY6qlovIdGAREA7MUtUsEZnmTJ8BXA/cJCJlwHFggrO6VGXfurxBc2ZU3edmnN+9NZ1aNQt0HGNMgHmzpjFcVc8TkXWq+kcReQx435uZq+oCYEGlcTM8nj8KPOptX+N/n27cy46DxUwflRToKMaYIODNIbcnnL/FIpIIlAHdfBfJBIvPNu5l+tur6ZUQyzXntg90HGNMEPBmTePfItIS+DuwCve5FC/4MpQJvPnr8rgvdQ19E+N49dYhdm6GMQaooWg4N19arKpHgDkiMh+IVtUCf4QzgTE7M4dfz15LcpezmPWTwcRGRwY6kjEmSJx285SquoDHPIZLrGA0bK+v2Mn9761leI82vHrrECsYxpjv8Gafxicicr3YAfoN3gtLt/GHDzZwWe92vHhzCs2ivDoi2xjTiHjzrfAL3NeFKheRE4AAqqpxPk1m/EZVeXJxNo9/toVrzmvPExMGEBlut4U3xnyfN2eE221dGzBV5a8fb+L5L7Zx/aCO/G3ceYSH2UqlMaZq3pzcN6Kq8Vrppkwm9Lhcyh//ncWry3fy42GdeeQH/QizgmGMOQ1vNk/9yuN5NO7LlmcCo3ySyPhFhUt5cM463svMYeqI7vzmql52XSljTI282Tx1neewiHQC/uazRMbnyipc/OLdtfx7bR73XprEfZclWcEwxnilLofH5AD96juI8Y+S8gqmv7WaTzfu5TdX9eLOi3sEOpIxJoR4s0/jKf57R70wYACw1oeZjI8cL61g6usZ/OfbAzwypi83nd810JGMMSHGmzWNDI/n5cDbqvqVj/IYHykqKefWV9LJ2HGIv407j/EpnWruZIwxlXhTNGYDJ1S1AkBEwkWkmaoW+zaaqS8FxWXc9PJKNuQW8MTEgfygf2KgIxljQpQ3Z3AtBpp6DDcFPvNNHFPfDhSVMPGFFXyTV8hzkwdZwTDGnBFv1jSiVbXo5ICqFomI3Y0nBOwtPMGNL6wg98hxXrw5hRFntw10JGNMiPNmTeOYcytWAEQkGfdd9kwQO3SslPHPLye/4ASv3jLECoYxpl54s6ZxH/CeiOQ5w+2BCd7MXERGA//CfcvWF1X1r5WmTwYecAaLgLtUda0zbQdwFKgAylU1xZvXNG6p6bvYebCY2dPOJ6Vrq0DHMcY0EN6c3JcuIr2Ac3BfrHCTqpbV1E9EwoFngMtxn9uRLiLzVHWjR7PtwMWqelhErgJmAkM9po9U1QPevx0D7suDvJO+m6HdWlnBMMbUqxo3T4nIT4HmqrpBVdcDMSJytxfzHgJkq+o2VS0FUoExng1UdZmqHnYGVwAdaxffVGXF9oPsPFjMpCGdAx3FGNPAiKqevoHIGlUdUGncalUdWEO/ccBoVb3dGZ4CDFXV6dW0vx/o5dF+O3AY94mFz6vqzGr6TQWmAsTHxyenpqae9v1Up6ioiJiYmDr1DZTqMs9Ye4J1+yt4YmQzosKD5/IgDWkZBzPL7Huhlheqzzxy5MjMWm3+V9XTPoB1OMXFGQ4HsrzodwPu/Rgnh6cAT1XTdiTwDdDaY1yi87cd7jPQR9T0msnJyVpXaWlpde4bKFVlPnysRJN+t0Af+mC9/wPVoKEs42BnmX0v1PKqVp8ZyNAavls9H94cPbUIeFdELhWRUcDbwEIv+uUAnqcddwTyKjcSkfOAF4ExqnrQo5jlOX/3AXNxb+4yNZi7OpfSchcTBtumKWNM/fOmaDyA+wS/u4Cf4l7zaHraHm7pQJKIdBORKGAiMM+zgYh0Bt4HpqjqFo/xzUUk9uRz4Apggxev2aipKqkrd9O/Ywv6JNqNFY0x9c+bo6dcIrIC6I77UNtWwBwv+pWLyHTcayrhwCxVzRKRac70GcBDQGvgWefS3CcPrY0H5jrjIoC3VPXjOry/RmVtTgGb9x7lL2PPDXQUY0wDVW3REJGzca8dTAIOAu8AqOpIb2euqguABZXGzfB4fjtwexX9tgH9vX0d45a6chdNI8O5rn/7QEcxxjRQp1vT2AT8B7hOVbMBROTnfkllaq2opJx5a/O49rz2xEZHBjqOMaaBOt0+jeuBfCBNRF4QkUtxn9xngtBH6/IoLq1gop2bYYzxoWqLhqrOVdUJQC9gCfBzIF5EnhORK/yUz3jp7ZW7SWoXw6DOLQMdxRjTgNV49JSqHlPVN1X1WtyHza4BHvR1MOO9TfmFrNl9hAmDO9m9vo0xPuXNIbenqOohVX1eVUf5KpCpvXfSdxMVHsaPBtlVWIwxvlWromGCz4myCuauzuWKvvG0ah4V6DjGmAbOikaIW5SVz5HiMibaGeDGGD+wohHi3knfTadWTRneo3WgoxhjGgErGiFsX7GLZVsPMiGlE2FhtgPcGON7VjRC2NKccsIExiV3qrmxMcbUAysaIaq8wsV/cssZeU47ElpEBzqOMaaRsKIRotI276egRJkw2NYyjDH+Y0UjRL2TvouWTYRRvdoFOooxphGxohGC8gtO8PmmfVzYIYKIcPsnNMb4j33jhKDZmbtxKVzUocbboRhjTL2yohFiXC7lnYzdnN+9NfHN7Z/PGONfPv3WEZHRIrJZRLJF5HsXORSRySKyznksE5H+3vZtrJZtPcjuQ8eZOMR2gBtj/M9nRUNEwoFngKuAPsAkEelTqdl24GJVPQ/4EzCzFn0bpdT0XbRoGsmVfRMCHcUY0wj5ck1jCJCtqttUtRRIBcZ4NlDVZap62BlcgfvS6171bYwOHSvlk6y9jB3YgejI8EDHMcY0Qr4sGh2A3R7DOc646twGLKxj30Zh7upcSitctmnKGBMwvjz8pqqLIWmVDUVG4i4aF9ah71RgKkB8fDxLliypdVCAoqKiOvf1B1Xlpa+O071FGPmbVpG/KfgzVxZqecEy+0uoZQ61vFCPmVXVJw/gfGCRx/BvgN9U0e48YCtwdm37Vn4kJydrXaWlpdW5rz9k7DikXR6Yr29/vfPUuGDPXFmo5VW1zP4SaplDLa9q9ZmBDK3Fd7svN0+lA0ki0k1EooCJwDzPBiLSGXgfmKKqW2rTt7F5J30XzaLCubZ/YqCjGGMaMZ9tnlLVchGZDiwCwoFZqpolItOc6TOAh4DWwLPOva3LVTWlur6+yhrsjp4o499r9zBmQCIxTeyEPmNM4Pj0G0hVFwALKo2b4fH8duB2b/s2Vv9eu4fjZRV2cUJjTMDZKcUh4J30XZwTH8uATi0DHcUY08hZ0QhyG/MKWZtTwITBnXA24RljTMBY0Qhy76TvIioijB8NavSnqRhjgoAVjSB2oqyCuatzGd03gZbNogIdxxhjrGgEs4835FN4opyJtgPcGBMkrGgEsdT0XXRu1Yxh3VsHOooxxgBWNILW9gPHWLHtEBMGdyIszHaAG2OCgxWNIPVO+m7Cw4RxyR1rbmyMMX5iRSMIlVW4mJ2Zw8hz2hEfFx3oOMYYc4oVjSC0+Jt9HCgqsR3gxpigY0UjCL2Tvov4uCZcck7bQEcxxpjvsKIRZHIOF/PFlv3ckNyJiHD75zHGBBf7VgoyLyzdRpgINw7tHOgoxhjzPVY0gsj+oyWkpu/mR4M6kNiyaaDjGGPM91jRCCIvf7Wd0goXd17cI9BRjDGmSlY0gkThiTJeX76Tq/u1p0fbmEDHMcaYKlnRCBKvL9/J0ZJy7rrE1jKMMcHLp0VDREaLyGYRyRaRB6uY3ktElotIiYjcX2naDhFZLyJrRCTDlzkD7XhpBbO+3M7FZ7elX4cWgY5jjDHV8tntXkUkHHgGuBzIAdJFZJ6qbvRodgi4B/hhNbMZqaoHfJUxWLybsZuDx0q529YyjDFBzpdrGkOAbFXdpqqlQCowxrOBqu5T1XSgzIc5glpZhYuZS7eR0uUshnRrFeg4xhhzWqKqvpmxyDhgtKre7gxPAYaq6vQq2j4MFKnqPzzGbQcOAwo8r6ozq3mdqcBUgPj4+OTU1NQ65S0qKiImxv87oL/MLePF9aX8PLkJ/dvWbsUvUJnrKtTygmX2l1DLHGp5ofrMI0eOzFTVFK9npKo+eQA3AC96DE8Bnqqm7cPA/ZXGJTp/2wFrgRE1vWZycrLWVVpaWp371lVFhUtH/SNNRz+xVF0uV637ByLzmQi1vKqW2V9CLXOo5VWtPjOQobX4bvfl5qkcwPOKex2BPG87q2qe83cfMBf35q4G5ZON+Wzdf4y7L+mBiN0zwxgT/HxZNNKBJBHpJiJRwERgnjcdRaS5iMSefA5cAWzwWdIAUFWeSdtK19bNuPrc9oGOY4wxXvHZ0VOqWi4i04FFQDgwS1WzRGSaM32GiCQAGUAc4BKR+4A+QBtgrvPrOwJ4S1U/9lXWQPjPtwdYn1vAX390LuF2Zz5jTIjwWdEAUNUFwIJK42Z4PM/HvdmqskKgvy+zBdqzS7KJj2vC2EEdAh3FGGO8ZmeEB0DmzsOs2HaIOy7qTpOI8EDHMcYYr1nRCIDnlmTTslkkk4bY5c+NMaHFioafbcov5LNv9nHL8G40b+LTrYPGGFPvrGj42XNLttI8Kpybh3cJdBRjjKk1Kxp+tPPgMf69No/Jw7rQsllUoOMYY0ytWdHwo+eXbiMiLIzbL+wW6CjGGFMnVjT8ZG/hCWZn5DAupSPt4qIDHccYY+rEioafvPTldspdLqaNsMufG2NClxUNPzhSXMobK3ZyXf9EOrduFug4xhhTZ1Y0/ODVZTspLq2wW7kaY0KeFQ0fO1ZSzsvLtnNZ73h6JcQFOo4xxpwRKxo+9vbKXRwpLuPukbaWYYwJfVY0fKikvIIX/rON87u3ZlDnswIdxxhjzpgVDR96f1UuewtLbC3DGNNgWNHwkfIKFzO+2Mp5HVtwYc82gY5jjDH1woqGjyzYkM/Og8V2K1djTINiRcMHVJVn07Lp0bY5V/RJCHQcY4ypNz4tGiIyWkQ2i0i2iDxYxfReIrJcREpE5P7a9A1maZv3sSn/KHdd0pMwu5WrMaYB8VnREJFw4BngKtz3/Z4kIn0qNTsE3AP8ow59g5Kq8kzaVjq0bMqYAYmBjmOMMfXKl2saQ4BsVd2mqqVAKjDGs4Gq7lPVdKCstn2D1crth8jceZg7L+5OZLht/TPGNCy+vHVcB2C3x3AOMLS++4rIVGAqQHx8PEuWLKl1UICioqI69/X0WMYJ4qIgoXg7S5bsOOP5nU59ZfaXUMsLltlfQi1zqOWF+svsy6JR1cZ8re++qjoTmAmQkpKil1xyiZcv8V1Lliyhrn1P2pBbwPqPv+TXo8/hikt6ntG8vFEfmf0p1PKCZfaXUMscanmh/jL7cvtJDtDJY7gjkOeHvgFx9EQZ/1r8LbFNIvjxMLuVqzGmYfLlmkY6kCQi3YBcYCJwox/6+ty+oyfIyitkY14hWXkFZOUVsvNgMQD3jOpJXHRkgBMaY4xv+KxoqGq5iEwHFgHhwCxVzRKRac70GSKSAGQAcYBLRO4D+qhqYVV9fZX1NO+BXYeKyfIoDll5hew/WnKqTadWTenbvgXjBnWkX8cWXJzU1t8xjTHGb3y5poGqLgAWVBo3w+N5Pu5NT1719aVyl/LNnsLvFIhv8go5WlIOQHiYkNQuhouS2tA3sQV92sfRJzGOFk1trcIY03j4tGiEgtJyF+NmLGNjXjHln/wHgOjIMHq3j2PMwET6Jragb2IcZ8fHEh0ZHuC0xhgTWI2+aERFhNGjbQyJEcVcNawvfRPj6NYmhnA7k9sYY76n0RcNgMcnDHAfjjagQ6CjGGNMULNTlo0xxnjNioYxxhivWdEwxhjjNSsaxhhjvGZFwxhjjNesaBhjjPGaFQ1jjDFes6JhjDHGa6Lq7S0ugp+I7Ad21rF7G+BAPcbxh1DLHGp5wTL7S6hlDrW8UH3mLqrq9ZVWG1TROBMikqGqKYHOURuhljnU8oJl9pdQyxxqeaH+MtvmKWOMMV6zomGMMcZrVjT+a2agA9RBqGUOtbxgmf0l1DKHWl6op8y2T8MYY4zXbE3DGGOM16xoGGOM8VqjKhoiMlpENotItog8WMV0EZEnnenrRGRQIHJ65OkkImki8o2IZInIvVW0uURECkRkjfN4KBBZK2XaISLrnTwZVUwPtuV8jsfyWyMihSJyX6U2AV/OIjJLRPaJyAaPca1E5FMR+db5e1Y1fU/72fdz5r+LyCbn336uiLSspu9pP0d+zPuwiOR6/NtfXU3fYFrG73jk3SEia6rpW/tlrKqN4gGEA1uB7kAUsBboU6nN1cBCQIBhwNcBztweGOQ8jwW2VJH5EmB+oJdvpUw7gDanmR5Uy7mKz0k+7hOegmo5AyOAQcAGj3F/Ax50nj8IPFrNezrtZ9/Pma8AIpznj1aV2ZvPkR/zPgzc78XnJmiWcaXpjwEP1dcybkxrGkOAbFXdpqqlQCowplKbMcBr6rYCaCki7f0d9CRV3aOqq5znR4FvgIZwT9qgWs6VXApsVdW6XlnAZ1R1KXCo0ugxwKvO81eBH1bR1ZvPvk9UlVlVP1HVcmdwBdDRH1m8Uc0y9kZQLeOTRESA8cDb9fV6jalodAB2ewzn8P0vYG/aBISIdAUGAl9XMfl8EVkrIgtFpK9/k1VJgU9EJFNEplYxPWiXMzCR6v+DBdtyBohX1T3g/pEBtKuiTTAv71txr3VWpabPkT9NdzanzapmE2CwLuOLgL2q+m0102u9jBtT0ZAqxlU+3tibNn4nIjHAHOA+VS2sNHkV7k0p/YGngA/8HK8qF6jqIOAq4KciMqLS9GBdzlHAD4D3qpgcjMvZW8G6vH8HlANvVtOkps+RvzwH9AAGAHtwb+6pLCiXMTCJ069l1HoZN6aikQN08hjuCOTVoY1fiUgk7oLxpqq+X3m6qhaqapHzfAEQKSJt/ByzcqY85+8+YC7uVXdPQbecHVcBq1R1b+UJwbicHXtPbtpz/u6rok3QLW8RuRm4Fpiszsb1yrz4HPmFqu5V1QpVdQEvVJMjGJdxBPAj4J3q2tRlGTemopEOJIlIN+cX5URgXqU284CbnKN7hgEFJ1f9A8HZHvkS8I2q/rOaNglOO0RkCO5/04P+S/m9PM1FJPbkc9w7PTdUahZUy9lDtb/Kgm05e5gH3Ow8vxn4sIo23nz2/UZERgMPAD9Q1eJq2njzOfKLSvvbxlaTI6iWseMyYJOq5lQ1sc7L2B9794PlgfuonS24j3L4nTNuGjDNeS7AM8709UBKgPNeiHsVdx2wxnlcXSnzdCAL99EaK4DhAc7c3cmy1skV9MvZydQMdxFo4TEuqJYz7oK2ByjD/cv2NqA1sBj41vnbymmbCCzw6Pu9z34AM2fj3v5/8jM9o3Lm6j5HAcr7uvM5XYe7ELQP9mXsjH/l5OfXo+0ZL2O7jIgxxhivNabNU8YYY86QFQ1jjDFes6JhjDHGa1Y0jDHGeM2KhjHGGK9Z0TCmBiJSId+9Cm69XcFURLp6Xp3UmGAXEegAxoSA46o6INAhjAkGtqZhTB059yJ4VERWOo+ezvguIrLYucDdYhHp7IyPd+4fsdZ5DHdmFS4iL4j7nimfiEhTp/09IrLRmU9qgN6mMd9hRcOYmjWttHlqgse0QlUdAjwNPOGMexr3pd/Pw30xvied8U8CX6j7ooeDcJ+FC5AEPKOqfYEjwPXO+AeBgc58pvnmrRlTO3ZGuDE1EJEiVY2pYvwOYJSqbnMuLJmvqq1F5ADuS02UOeP3qGobEdkPdFTVEo95dAU+VdUkZ/gBIFJV/1dEPgaKcF9R9wN1LphoTCDZmoYxZ0areV5dm6qUeDyv4L/7Gq/BfY2uZCDTuWqpMQFlRcOYMzPB4+9y5/ky3Fc5BZgMfOk8XwzcBSAi4SISV91MRSQM6KSqacCvgZbA99Z2jPE3++ViTM2aisgaj+GPVfXkYbdNRORr3D/AJjnj7gFmicivgP3ALc74e4GZInIb7jWKu3BfnbQq4cAbItIC91WBH1fVI/X0foypM9unYUwdOfs0UlT1QKCzGOMvtnnKGGOM12xNwxhjjNdsTcMYY4zXrGgYY4zxmhUNY4wxXrOiYYwxxmtWNIwxxnjt/wHK7NRAJNcO3AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.validationAccuracy(history, \"images_point_two\", \"validation_acc_1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UqWIsDjqYVHgqB5E4lJNXwN8/Xsq/vlhOu0bJPHP1CfRoWS/oWFKJqBxE4swPB513csWAVvz2nK7Urq4fVYktveNE4oS78+r0Ndz/buig8+ihaQzuro/xlGCoHETiwPY9oYPOHyzYwAkdGvHwJb1pWq9m0LGkElM5iATs64wt3P5a8YPOIkFSOYgEJCevgIc/XsLTX6ygXWoyzw4/ge4tdNBZ4oPKQSQAyzdn8fPxs5m/dhdXDGjNb8/pooPOEleiesN3MxtsZkvMLMPMRpUyzylmNsfMFpjZ59HMIxI0d+eVaas557H/krl9L6OHpvHnC3uoGCTuRO0daWZJwJPAT4BMYLqZTXT3hYXmqQ/8Exjs7qvNTB90KxXW7n253Dlh7vcHnf9+aW+a1NVBZ4lPhywHMzsHmOTuBYe57AFAhruvCC9nPDAEWFhoniuBN919NYC7bzrMryGSEDbs3Mc1Y6eRsSmLX5/VmetO1EFniW/m7gefwexF4DjgDWCsuy+KaMFmFxPaIrguPDwMGOjutxSa51GgGtANqAP8w93HlbCs64HrAZo0aZI2fvz4SCIUk5WVRUpKYn3YujLHRjQzZ+4u4O8z95Gd69zSpwbdU498g13rODYqUuZBgwbNdPd+ES/I3Q/5AOoCNwBTgW8I/aKuc4jXXAI8W2h4GPB4kXmeCC8zGUgFlgHHHGy5aWlpXlaTJ08u82uDosyxEa3MX2Vs9u6/+8D7/+Fjn792R7ktV+s4NipSZmCGR/D7/sAjogPS7r6L0JbDeKAZcAEwy8xuPcjLMoFWhYZbAutKmOcDd9/j7luAL4BekWQSiXfvzFnL8DHTaFq3Jm/dfALdmus0VUkchywHMzvXzN4CPiO0C2iAu59J6Jf4HQd56XSgo5m1M7PqwOXAxCLzvAOcZGZVzaw2MBCIaLeVSLxyd56aspyfj59D39YNeP3G42lRv1bQsUQOSyQ7Py8BHnH3LwqPdPdsM7u2tBe5e56Z3QJ8CCQBY9x9gZndGJ4+2t0XmdkHwFyggNBuqPll/WZEgpZf4Pxu4nxenLqac3s152+X9KRG1aSgY4kctkjK4XfA+gMDZlYLaOLuK93904O90N0nAZOKjBtdZPivwF8jTiwSp/bm5HPrK7P5ZNFGbji5PXcP7qwzkiRhRXLMYQKhv+oPyA+PE5GwrVn7ueKZqXy6eCO/H9KN/zuri4pBElokWw5V3T3nwIC754SPIYgIsHLLHoaPncaGnfsYPTSNM7rpNtuS+CLZcthsZucdGDCzIcCW6EUSSRyzVm/nwqe+ZtfeXF4eeayKQSqMSLYcbgReMrMnAAPWAFdHNZVIAvhowQZuGz+bJnVr8tyIAbRLTQ46kki5OWQ5uPty4FgzSyF0RfXu6McSiW/jvlnJfRMX0KNlff49vB+pKTWCjiRSriK6jt/MziZ0i4uaZqGDbO7++yjmEolLBQXOQx8uYfTny/lxl8Y8dkUf3VFVKqRIbrw3GqgNDAKeBS4GpkU5l0jc2Z+Xz50T5jIxfR1Dj23Nfed2o2pSVO96LxKYSN7Zx7v71cB2d7+f0E34Wh3iNSIVys69uQwfM42J6eu4a3AnHhjSXcUgFVok28P7wv9mm1lzYCvQLnqRROLL5t37Gfrst6zYksWjl/Xm/D4tgo4kEnWRlMO74Q/l+SswC3DgmWiGEokX2/fkMOzf37J6WzbPjxjA8R1Sg44kEhMHLQczqwJ86u47gDfM7D2gprvvjEU4kSDt3JvLsDHfsmLLHsZe01/FIJXKQXeaeujT3x4uNLxfxSCVQdb+PEaMncaSDbv519A0TlAxSCUTyRG1j8zsIjtwDqtIBbc3J5/rnp9OeuZOHr+iD4M666PNpfKJ5JjD7YQ+qS3PzPYRukra3b1uVJOJBGB/Xj7XvzCDb7/bxqOX9WZw92ZBRxIJRCRXSNeJRRCRoOXmF3DzS7P5ctkWHrqoJ0N666wkqbwiuQju5JLGF/3wH5FEll/g/OLVOXyyKHTL7Uv761Ieqdwi2a10Z6HnNYEBwEzg1KgkEomxggJnzPwcvlq3nnvO6sLVx7UNOpJI4CLZrXRu4WEzawU8FLVEIjHk7vzmnfl8tS6P239yDCNPbh90JJG4UJbr/zOB7uUdRCTW3J3fv7eQl79dzTntq3HrqR2CjiQSNyI55vA4oauiIVQmvYH0KGYSiTp3568fLmHsVysZcUJbTk7ZhM7WFvlBJMccZhR6nge84u5fRSmPSEw88VkG/5yynCsHtubec7ry+eebg44kElciKYfXgX3ung9gZklmVtvds6MbTSQ6nvliBQ9/vJQL+7bgD0O6a4tBpASRHHP4FKhVaLgW8El04ohE1wvfrOSPkxZxds9mPHRRT6pUUTGIlCSScqjp7lkHBsLPa0cvkkh0vDZjDb99ZwE/7tKERy/rrc9jEDmISH469phZ3wMDZpYG7I1eJJHy986ctdz9xlxO6pjKk1f1oZqKQeSgIjnm8AtggpmtCw83Ay6LWiKRcvbB/A3c/lo6A9o25Olh/ahRNSnoSCJxL5KL4KabWWegE6Gb7i1299yoJxMpB5MXb+LWV2bRq2U9/n1Nf2pVVzGIRCKS6xxuBl5y9/nh4QZmdoW7/zPq6UTKYM/+PP4zbz2vz8hk2sptdG9Rl7EjBpBSI5INZRGByHYrjXT3Jw8MuPt2MxsJqBwkbrg7077bxoSZmUyat57snHzapyZz1+BOXDWwDfVqVQs6okhCiaQcqpiZubtD6DoHoHp0Y4lEZt2OvbwxM5PXZ2Wyams2ydWTOK9Xcy7p15K+rRvoGgaRMoqkHD4EXjOz0YRuo3Ej8H5UU4kcxL7cfD5csIHXZ2by34wtuMOx7Rty26kdObNHU2pX1+4jkSMVyU/R3cD1wE2EDkjPJnTGkkjMuDvpmTuZMGMNE9PXsXtfHi3q1+LWUztycd+WtG6kS29EylMkZysVmNlUoD2hU1gbAm9EO5gIwObd+3lrdiYTZmSybFMWNapW4czuTbmkXyuOa99IVziLREmp5WBmxwCXA1cAW4FXAdx9UGyiSWXl7kxZupmXpq5i8pLN5Bc4fVrX508X9OCcXs2oW1MHl0Wi7WBbDouBL4Fz3T0DwMx+GZNUUmkt27ib37+3kC+XbeGoOjW47qR2XJLWkg6N9VHmIrF0sHK4iNCWw2Qz+wAYT+iYg0i525mdyyOfLOWFqatIrp7E787tytBj2+g2FyIBKbUc3P0t4C0zSwbOB34JNDGzp4C33P2jQy3czAYD/wCSgGfd/S+lzNcfmApc5u6vH/Z3IQkrv8B5ZdpqHv5oCTv35nLFgNb86vRONEzW2dIiQYrkgPQe4CXgJTNrCFwCjAIOWg7h6yGeBH5C6KNFp5vZRHdfWMJ8DxI6ZVYqkakrtnLfxAUs3rCbge0a8rtzu9G1ed2gY4kIkZ3K+j133wb8K/w4lAFAhruvADCz8cAQYGGR+W4ldPZT/8PJIokrc3s2f560mP/MW0+L+rV48sq+nNWjqS5YE4kjFr7wufwXbHYxMNjdrwsPDwMGuvstheZpAbwMnAr8G3ivpN1KZnY9oWstaNKkSdr48ePLlCkrK4uUlJQyvTYoFSnz/nxn0opcJn2XiwFnt6/Gme2qUT0p+FJItPWcaHlBmWOltMyDBg2a6e79Il1ONC8lLeknvmgTPQrc7e75B/ur0d2fBp4G6Nevn59yyillCjRlyhTK+tqgVITM7s57c9fz50mLWLczl3N6NuP/zupCi/q1Sl9IjCXaek60vKDMsVJemaNZDplAq0LDLYF1RebpB4wPF0MqcJaZ5bn721HMJTE0f+1Ofv/uQqat3EbXZnV59PI+DGjXMOhYInII0SyH6UBHM2sHrCV0WuyVhWdw93YHnpvZc4R2K70dxUwSI1uz9vO3j5YyfvpqGtSuzp8v7MGl/VqRpCuaRRJC1MrB3fPM7BZCZyElAWPcfYGZ3RiePjpaX1uCk5tfwIcrc7l1yhT25uQz4vh2/PzHHXXLbJEEE9XbV7r7JGBSkXElloK7XxPNLBJ9G3ft46fPT2f+2hxO6pjK787tqiubRRKU7m0s5WLpxt1cM2YaO/fmcnPvGtxx2QCdmiqSwHRvAjliXy/fwkVPfU1ugfPqDcfRv2lVFYNIglM5yBF5e/Zaho+ZRtO6NXnrZ8fTvUW9oCOJSDnQbiUpE3fnn1OW89cPl3Bs+4b8a1g/HXQWqUBUDnLY8vIL+O07C3hl2mrO792cBy/uSY2qSUHHEpFypHKQw7Jnfx63vDyLyUs2c/Ogo7nj9E46viBSAakcJGKbdu3j2uens2j9bv50QQ+uHNg66EgiEiUqB4nIso27uWbsdLZn5/Ds1f0Y1Llx0JFEJIpUDnJIU1ds5fpxM6hRLYnXbjhOZySJVAIqBzmod+as5c4Jc2ndqDZjr+lPq4a1g44kIjGgcpASuTujP1/Bgx8sZmC7hjw9rB/1autUVZHKQuUgxeTlF3Dfuwt4cepqzu3VnL9dolNVRSoblYP8j+ycPG59eTafLt7EjT86mrvO6EQV3WZbpNJROcj3Nu3ex0+fm8GCdTv5w/ndGXpsm6AjiUhAVA4CQMam0KmqW7NyeObqfpzWpUnQkUQkQCqHSi6/wBnz3+94+OMlpNSoyqs3HEvPlvWDjiUiAVM5VGJLN+7mrtfnMmfNDn7cpTF/OL8HTevVDDqWiMQBlUMllJtfwOgpy3n8swySayTxj8t7c16v5rpHkoh8T+VQycxfu5O7Xp/LwvW7OLtnM+4/rxupKTWCjiUicUblUEnsy83n8c+WMfrzFTRMrs7ooWkM7t406FgiEqdUDpXArNXbuev1uWRsyuLitJb89uyuutpZRA5K5VCB7c3J528fLWHMV9/RrG5NnhvRn1M66W6qInJoKocK6uvlWxj1xjxWb8tm6LGtuXtwZ+rU1NaCiERG5VDB7N6Xy1/eX8xL366mTaPajL/+WI5t3yjoWCKSYFQOFcjkJZu45815bNi1j5EnteP2n3SiVnXdME9EDp/KoQLYkZ3DA+8t4o1ZmXRonMLrNx1P39YNgo4lIglM5ZDgpizZxB0T5rI9O4dbT+3ALad20O21ReSIqRwS2IQZaxj15jw6Nk7huRH99fGdIlJuVA4JqPCntJ3YIZXRw9JIqaH/ShEpP/qNkmAKCpwH/rOQsV+t5NxezXn4kl5Ur1ol6FgiUsGoHBJITl4Bd0xIZ2L6Okac0Jbfnt1Vn9ImIlGhckgQWfvzuOnFmXy5bAt3De7ETT86WndRFZGoUTkkgC1Z+xkxdjoL1+/ioYt7cmm/VkFHEpEKTuUQ5zZnF3DxU1+zYdc+nh6Wpo/vFJGYUDnEsQXrdvKHb/dBlaq8dN1A0to0DDqSiFQSKoc49c3yrVw/bgbVDF698Tg6NqkTdCQRqUSieg6kmQ02syVmlmFmo0qYfpWZzQ0/vjazXtHMkyjen7ee4WOm0bReTe4ZWFPFICIxF7VyMLMk4EngTKArcIWZdS0y23fAj9y9J/AA8HS08iSKF6au4mcvz6JHy3pMuPE4GtXSNQwiEnvR3K00AMhw9xUAZjYeGAIsPDCDu39daP6pQMso5olr7s4jnyzjsU+XcVrnxjxxZV/dUVVEAmPuHp0Fm10MDHb368LDw4CB7n5LKfPfAXQ+MH+RadcD1wM0adIkbfz48WXKlJWVRUpKSpleG00F7oxbkMOUzDxOalGVa7pVJyl8cVu8Zj4YZY6+RMsLyhwrpWUeNGjQTHfvF/GC3D0qD+AS4NlCw8OAx0uZdxCwCGh0qOWmpaV5WU2ePLnMr42WvTl5fv246d7m7vf8wfcXeUFBwf9Mj8fMh6LM0Zdoed2VOVZKywzM8MP4HR7N3UqZQOGrtVoC64rOZGY9gWeBM919axTzxJ2de3MZOW4G077bxr3ndOXaE9sFHUlEBIjuMYfpQEczawesBS4Hriw8g5m1Bt4Ehrn70ihmiTsbdu7jmrHTWL45i8eu6MN5vZoHHUlE5HtRKwd3zzOzW4APgSRgjLsvMLMbw9NHA/cCjYB/hu8TlOeHs08sQX28cCN3vZ5OTl4BY67pz0kdjwo6kojI/4jqRXDuPgmYVGTc6ELPrwOKHYCuqPbl5vPH/yzihamr6NqsLo9d0YcOjRPrYJeIVA66QjpGFq3fxW2vzGbZpixGntSOO87opI/zFJG4pXKIMnfn+a9X8qf3F1O3ZjXGXTuAk4/RbiQRiW8qhyjakrWfOyekM3nJZk7t3JiHLu5JakqNoGOJiBySyiFKPl+6mV+9ls6ufbncf143rj6ujT6cR0QShsqhnO3Py+evHyzh2f9+xzFNUnjxugF0blo36FgiIodF5VCOMjZlcdsrs1m4fhdXH9eGX5/VhZrVdNBZRBKPyqEcuDvjp6/h/ncXUKtaEs9e3Y8fd9UntolI4lI5HKEd2TmMemMeHyzYwIkdUnn40l40qVsz6FgiIkdE5XAEvlm+lV++Ooete/bz67M6c92J7alSRQedRSTxqRzKIDe/gEc+XspTny+nXaNknh1+At1b1As6lohIuVE5HKaMTVn8akI66Wt2cFm/Vtx7bleSa2g1ikjFot9qEcran8fjny7j3//9jtrVk3jyyr6c3bNZ0LFERKJC5XAI7s7E9HX8adIiNu7az6X9WnLX4M660llEKjSVw0Es2bCbe9+Zz7ffbaNHi3qMHppGn9YNgo4lIhJ1KocS7NqXyyMfL2XcN6uoU7Mqf7qgB5f1b/X95zqLiFR0KodCCgqcN2ev5S/vL2LrnhyuHNCaO07vRIPk6kFHExGJKZVD2Py1O/ndxAXMXLWd3q3qM/aaAfRoqdNTRaRyqvTlsCM7h4c/WspL366iQe3qPHRxTy7u21IXs4lIpVZpy6GgwHltxhoe+nAJO7JzuPq4tvzyJ8dQr1a1oKOJiASuUpZD+pod3PvOfNIzdzKgbUPuH9KNLs10W20RkQMqVTnsznFGvTGXV2esITWlBo9e1pshvZvrQ3hERIqoNOUwefEmRn2Zzf78vVx3YjtuO60jdWpqF5KISEkqTTm0S02mfb0k/j7sBDo2qRN0HBGRuFYl6ACx0jY1mV/1q6liEBGJQKUpBxERiZzKQUREilE5iIhIMSoHEREpRuUgIiLFqBxERKQYlYOIiBSjchARkWLM3YPOcFjMbDOwqowvTwW2lGOcWFDm2Ei0zImWF5Q5VkrL3Mbdj4p0IQlXDkfCzGa4e7+gcxwOZY6NRMucaHlBmWOlvDJrt5KIiBSjchARkWIqWzk8HXSAMlDm2Ei0zImWF5Q5Vsolc6U65iAiIpGpbFsOIiISAZWDiIgUUyHLwcwGm9kSM8sws1ElTDczeyw8fa6Z9Q0iZ6E8rcxsspktMrMFZvbzEuY5xcx2mtmc8OPeILIWybTSzOaF88woYXq8redOhdbfHDPbZWa/KDJPoOvZzMaY2SYzm19oXEMz+9jMloX/bVDKaw/6vo9x5r+a2eLw//tbZla/lNce9D0U48z3mdnaQv/3Z5Xy2nhaz68WyrvSzOaU8trDX8/uXqEeQBKwHGgPVAfSga5F5jkLeB8w4Fjg24AzNwP6hp/XAZaWkPkU4L2g12+RTCuB1INMj6v1XML7ZAOhC4PiZj0DJwN9gfmFxj0EjAo/HwU8WMr3c9D3fYwznw5UDT9/sKTMkbyHYpz5PuCOCN43cbOei0x/GLi3vNZzRdxyGABkuPsKd88BxgNDiswzBBjnIVOB+mbWLNZBD3D39e4+K/x8N7AIaBFUnnIUV+u5iNOA5e5e1qvto8LdvwC2FRk9BHg+/Px54PwSXhrJ+z4qSsrs7h+5e154cCrQMhZZIlXKeo5EXK3nA8zMgEuBV8rr61XEcmgBrCk0nEnxX7SRzBMIM2sL9AG+LWHycWaWbmbvm1m32CYrkQMfmdlMM7u+hOlxu56Byyn9Byne1nMTd18PoT8kgMYlzBPP6/paQluQJTnUeyjWbgnvChtTyu67eF3PJwEb3X1ZKdMPez1XxHKwEsYVPV83knlizsxSgDeAX7j7riKTZxHaBdILeBx4O8bxSnKCu/cFzgRuNrOTi0yP1/VcHTgPmFDC5Hhcz5GI13V9D5AHvFTKLId6D8XSU8DRQG9gPaHdNEXF5XoGruDgWw2HvZ4rYjlkAq0KDbcE1pVhnpgys2qEiuEld3+z6HR33+XuWeHnk4BqZpYa45hFM60L/7sJeIvQJndhcbeew84EZrn7xqIT4nE9AxsP7I4L/7uphHnibl2b2XDgHOAqD+/4LiqC91DMuPtGd8939wLgmVKyxON6rgpcCLxa2jxlWc8VsRymAx3NrF34L8TLgYlF5pkIXB0+m+ZYYOeBzfYghPcX/htY5O5/L2WepuH5MLMBhP7vtsYuZbE8yWZW58BzQgcg5xeZLa7WcyGl/pUVb+s5bCIwPPx8OPBOCfNE8r6PGTMbDNwNnOfu2aXME8l7KGaKHA+7oJQscbWew34MLHb3zJImlnk9x+Ioe6wfhM6SWUrorIJ7wuNuBG4MPzfgyfD0eUC/gPOeSGjTdC4wJ/w4q0jmW4AFhM6OmAocH3Dm9uEs6eFccb+ew5lqE/plX6/QuLhZz4RKaz2QS+iv1J8CjYBPgWXhfxuG520OTCr02mLv+wAzZxDaN3/g/Ty6aObS3kMBZn4h/D6dS+gXfrN4X8/h8c8deP8WmveI17NunyEiIsVUxN1KIiJyhFQOIiJSjMpBRESKUTmIiEgxKgcRESlG5SASZmb59r93bS23O26aWdvCd9MUiXdVgw4gEkf2unvvoEOIxANtOYgcQvhe+A+a2bTwo0N4fBsz+zR8o7ZPzax1eHyT8GcYpIcfx4cXlWRmz1joMzs+MrNa4flvM7OF4eWMD+jbFPkfKgeRH9QqslvpskLTdrn7AOAJ4NHwuCcI3ZK8J6Ebyz0WHv8Y8LmHbt7Xl9BVqQAdgSfdvRuwA7goPH4U0Ce8nBuj862JHB5dIS0SZmZZ7p5SwviVwKnuviJ8g8QN7t7IzLYQusVCbnj8endPNbPNQEt3319oGW2Bj929Y3j4bqCau//BzD4AsgjdAfZtD9/4TyRI2nIQiYyX8ry0eUqyv9DzfH445nc2oXtQpQEzw3fZFAmUykEkMpcV+veb8POvCd2VE+Aq4L/h558CNwGYWZKZ1S1toWZWBWjl7pOBu4D6QLGtF5FY018oIj+oZf/7Ae0fuPuB01lrmNm3hP6guiI87jZgjJndCWwGRoTH/xx42sx+SmgL4SZCd9MsSRLwopnVI3QX20fcfUc5fT8iZaZjDiKHED7m0M/dtwSdRSRWtFtJRESK0ZaDiIgUoy0HEREpRuUgIiLFqBxERKQYlYOIiBSjchARkWL+H1ZxFjUaY4jtAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plottingAccuracy(history, \"images_point_two\", \"accuracy_1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plottingLoss(history, \"images_point_two\", \"loss_1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification Report\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "     Bedroom       0.17      0.40      0.24       116\n",
      "       Coast       0.72      0.49      0.58       260\n",
      "      Forest       0.67      0.44      0.53       228\n",
      "     Highway       0.56      0.67      0.61       160\n",
      "  Industrial       0.25      0.15      0.19       211\n",
      "  InsideCity       0.21      0.27      0.24       208\n",
      "     Kitchen       0.13      0.31      0.19       110\n",
      "  LivingRoom       0.27      0.31      0.29       189\n",
      "    Mountain       0.37      0.41      0.38       274\n",
      "      Office       0.21      0.43      0.28       115\n",
      " OpenCountry       0.52      0.36      0.43       310\n",
      "       Store       0.45      0.10      0.16       215\n",
      "      Street       0.58      0.61      0.60       192\n",
      "      Suburb       0.46      0.68      0.55       141\n",
      "TallBuilding       0.67      0.34      0.45       256\n",
      "\n",
      "    accuracy                           0.39      2985\n",
      "   macro avg       0.42      0.40      0.38      2985\n",
      "weighted avg       0.45      0.39      0.39      2985\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print('Classification Report')\n",
    "print(classification_report(yTest, yPred, target_names=labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the data augmentation alone we get an accuracy of about 0.44. Now let's try to use a BatchNormalization, add a Dropout, change the CNN structure trying to reach an accuracy of about 0.60"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Batch Normalization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To use tf.keras.layers.BatchNormalization you need to use set the axis you are considering. By default this has value -1 and must be an integer.\n",
    "To improve regularization we also add dropout layers (tf.keras.layers.Dropout) to CNNs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Create CNN with kernel size = 3\n",
      "Create CNN with kernel size = 5\n",
      "Create CNN with kernel size = 7\n"
     ]
    }
   ],
   "source": [
    "adam = optimizers.Adam()\n",
    "print(\"Create CNN with kernel size = 3\")\n",
    "modelAdam3x3 = Sequential([\n",
    "    Conv2D(filters=8,kernel_size=3,strides=1,padding = 'valid',activation='relu',input_shape=(64,64,1)),\n",
    "    BatchNormalization(axis = 1),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    Dropout(0.2),\n",
    "    Conv2D(filters=16,kernel_size=3,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    BatchNormalization(axis = 1),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    Dropout(0.2),\n",
    "    Conv2D(filters=32,kernel_size=3,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    Flatten(),\n",
    "    Dense(numberOfClasses,activation='relu',kernel_initializer=norm,bias_initializer='zeros'),\n",
    "    BatchNormalization(axis = 1),\n",
    "    Dense(numberOfClasses,activation='softmax')\n",
    "])\n",
    "modelAdam3x3.compile(loss='categorical_crossentropy',optimizer=adam,metrics = ['accuracy'])\n",
    "\n",
    "print(\"Create CNN with kernel size = 5\")\n",
    "modelAdam5x5 = Sequential([\n",
    "    Conv2D(filters=8,kernel_size=5,strides=1,padding = 'valid',activation='relu',input_shape=(64,64,1)),\n",
    "    BatchNormalization(axis = 1),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    Dropout(0.2),\n",
    "    Conv2D(filters=16,kernel_size=5,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    BatchNormalization(axis = 1),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    Dropout(0.2),\n",
    "    Conv2D(filters=32,kernel_size=5,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    Flatten(),\n",
    "    Dense(numberOfClasses,activation='relu',kernel_initializer=norm,bias_initializer='zeros'),\n",
    "    BatchNormalization(axis = 1),\n",
    "    Dense(numberOfClasses,activation='softmax')\n",
    "])\n",
    "modelAdam5x5.compile(loss='categorical_crossentropy',optimizer=adam,metrics = ['accuracy'])\n",
    "\n",
    "print(\"Create CNN with kernel size = 7\")\n",
    "modelAdam7x7 = Sequential([\n",
    "    Conv2D(filters=8,kernel_size=7,strides=1,padding = 'valid',activation='relu',input_shape=(64,64,1)),\n",
    "    BatchNormalization(axis = 1),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    Dropout(0.2),\n",
    "    Conv2D(filters=16,kernel_size=7,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    BatchNormalization(axis = 1),\n",
    "    MaxPooling2D(pool_size=2,strides=2),\n",
    "    Dropout(0.2),\n",
    "    Conv2D(filters=32,kernel_size=7,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "    Flatten(),\n",
    "    Dense(numberOfClasses,activation='relu',kernel_initializer=norm,bias_initializer='zeros'),\n",
    "    BatchNormalization(axis = 1),\n",
    "    Dense(numberOfClasses,activation='softmax')\n",
    "])\n",
    "\n",
    "modelAdam7x7.compile(loss='categorical_crossentropy',optimizer=adam,metrics = ['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fit Adam Model with kernel size = 3\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 57ms/step - loss: 2.7839 - accuracy: 0.1190 - val_loss: 2.6630 - val_accuracy: 0.1156\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 2.2551 - accuracy: 0.2860 - val_loss: 2.7571 - val_accuracy: 0.0689\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 2.0196 - accuracy: 0.3733 - val_loss: 3.3582 - val_accuracy: 0.1022\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.7871 - accuracy: 0.4604 - val_loss: 3.1626 - val_accuracy: 0.1378\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.5496 - accuracy: 0.5620 - val_loss: 3.3715 - val_accuracy: 0.1756\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.3336 - accuracy: 0.6407 - val_loss: 2.4019 - val_accuracy: 0.3178\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 5s 67ms/step - loss: 1.1736 - accuracy: 0.6875 - val_loss: 2.2696 - val_accuracy: 0.2822\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 5s 57ms/step - loss: 0.9757 - accuracy: 0.7473 - val_loss: 1.8822 - val_accuracy: 0.3733\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 0.8572 - accuracy: 0.7740 - val_loss: 1.8376 - val_accuracy: 0.4111\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 5s 57ms/step - loss: 0.7471 - accuracy: 0.8058 - val_loss: 1.8831 - val_accuracy: 0.4111\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.6311 - accuracy: 0.8564 - val_loss: 1.7910 - val_accuracy: 0.4267\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 45ms/step - loss: 0.5224 - accuracy: 0.8783 - val_loss: 1.9452 - val_accuracy: 0.4044\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 3s 44ms/step - loss: 0.4206 - accuracy: 0.9156 - val_loss: 1.7630 - val_accuracy: 0.4556\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 44ms/step - loss: 0.3952 - accuracy: 0.9124 - val_loss: 1.9319 - val_accuracy: 0.4333\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 45ms/step - loss: 0.3628 - accuracy: 0.9223 - val_loss: 1.8196 - val_accuracy: 0.4867\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 3s 43ms/step - loss: 0.3192 - accuracy: 0.9330 - val_loss: 1.7760 - val_accuracy: 0.5000\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 45ms/step - loss: 0.2600 - accuracy: 0.9601 - val_loss: 1.7346 - val_accuracy: 0.4956\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 44ms/step - loss: 0.2233 - accuracy: 0.9571 - val_loss: 1.6665 - val_accuracy: 0.5156\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.2080 - accuracy: 0.9592 - val_loss: 1.7691 - val_accuracy: 0.5244\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 3s 43ms/step - loss: 0.1867 - accuracy: 0.9674 - val_loss: 1.8476 - val_accuracy: 0.4800\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 45ms/step - loss: 0.1415 - accuracy: 0.9752 - val_loss: 1.9180 - val_accuracy: 0.4822\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.1366 - accuracy: 0.9799 - val_loss: 1.8897 - val_accuracy: 0.5089\n",
      "Epoch 23/100\n",
      "80/80 [==============================] - 4s 45ms/step - loss: 0.1448 - accuracy: 0.9716 - val_loss: 1.8424 - val_accuracy: 0.4844\n",
      "Fit Adam Model with kernel size = 5\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 52ms/step - loss: 2.6399 - accuracy: 0.1343 - val_loss: 2.8105 - val_accuracy: 0.0889\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 2.4387 - accuracy: 0.1956 - val_loss: 3.4197 - val_accuracy: 0.0933\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 2.2993 - accuracy: 0.2601 - val_loss: 3.1305 - val_accuracy: 0.0956\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 2.2357 - accuracy: 0.2882 - val_loss: 2.9506 - val_accuracy: 0.1089\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 2.1500 - accuracy: 0.3166 - val_loss: 2.7691 - val_accuracy: 0.1089\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.9935 - accuracy: 0.3624 - val_loss: 2.6269 - val_accuracy: 0.1756\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.9244 - accuracy: 0.3682 - val_loss: 2.3205 - val_accuracy: 0.1889\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.7939 - accuracy: 0.4051 - val_loss: 2.0683 - val_accuracy: 0.3022\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 1.6765 - accuracy: 0.4488 - val_loss: 1.8827 - val_accuracy: 0.3333\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.5945 - accuracy: 0.4589 - val_loss: 1.8339 - val_accuracy: 0.3378\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.5005 - accuracy: 0.4879 - val_loss: 1.9644 - val_accuracy: 0.3222\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.4308 - accuracy: 0.5053 - val_loss: 1.7453 - val_accuracy: 0.3844\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.4069 - accuracy: 0.5219 - val_loss: 1.6891 - val_accuracy: 0.4222\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.3571 - accuracy: 0.5338 - val_loss: 1.6303 - val_accuracy: 0.4489\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.3209 - accuracy: 0.5479 - val_loss: 1.5323 - val_accuracy: 0.4800\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.2697 - accuracy: 0.5894 - val_loss: 1.6560 - val_accuracy: 0.4444\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 1.2293 - accuracy: 0.5892 - val_loss: 2.2319 - val_accuracy: 0.3378\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.1880 - accuracy: 0.5979 - val_loss: 1.8966 - val_accuracy: 0.4267\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.1611 - accuracy: 0.6137 - val_loss: 1.6200 - val_accuracy: 0.4844\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 1.1288 - accuracy: 0.6219 - val_loss: 3.0851 - val_accuracy: 0.2556\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.1414 - accuracy: 0.5985 - val_loss: 1.6633 - val_accuracy: 0.4533\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.0676 - accuracy: 0.6457 - val_loss: 1.6383 - val_accuracy: 0.4556\n",
      "Epoch 23/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.0364 - accuracy: 0.6425 - val_loss: 1.7853 - val_accuracy: 0.4489\n",
      "Epoch 24/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.0145 - accuracy: 0.6506 - val_loss: 1.9719 - val_accuracy: 0.3867\n",
      "Fit Adam Model with kernel size = 7\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 6s 61ms/step - loss: 2.7422 - accuracy: 0.0907 - val_loss: 3.3133 - val_accuracy: 0.0867\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 5s 57ms/step - loss: 2.5490 - accuracy: 0.1680 - val_loss: 2.5580 - val_accuracy: 0.1956\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 56ms/step - loss: 2.4874 - accuracy: 0.1797 - val_loss: 2.5522 - val_accuracy: 0.1578\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 5s 58ms/step - loss: 2.4098 - accuracy: 0.2106 - val_loss: 2.4509 - val_accuracy: 0.2044\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 56ms/step - loss: 2.3997 - accuracy: 0.2293 - val_loss: 2.4169 - val_accuracy: 0.1800\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 55ms/step - loss: 2.3666 - accuracy: 0.2253 - val_loss: 2.4152 - val_accuracy: 0.1911\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 56ms/step - loss: 2.3226 - accuracy: 0.2312 - val_loss: 2.3626 - val_accuracy: 0.2356\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 5s 56ms/step - loss: 2.1740 - accuracy: 0.2908 - val_loss: 2.3465 - val_accuracy: 0.2400\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 56ms/step - loss: 2.0816 - accuracy: 0.3369 - val_loss: 2.3994 - val_accuracy: 0.2533\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 56ms/step - loss: 2.0394 - accuracy: 0.3208 - val_loss: 2.6184 - val_accuracy: 0.1822\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 1.9315 - accuracy: 0.3805 - val_loss: 2.7141 - val_accuracy: 0.1778\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 1.8680 - accuracy: 0.3835 - val_loss: 2.3764 - val_accuracy: 0.2622\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.7996 - accuracy: 0.4186 - val_loss: 2.1532 - val_accuracy: 0.2933\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.7235 - accuracy: 0.4442 - val_loss: 1.9806 - val_accuracy: 0.3467\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.7142 - accuracy: 0.4463 - val_loss: 1.9786 - val_accuracy: 0.3711\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.6297 - accuracy: 0.4662 - val_loss: 1.9225 - val_accuracy: 0.3889\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.6222 - accuracy: 0.4646 - val_loss: 1.8844 - val_accuracy: 0.4000\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.5160 - accuracy: 0.5004 - val_loss: 1.9505 - val_accuracy: 0.3556\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.5116 - accuracy: 0.5064 - val_loss: 1.9767 - val_accuracy: 0.3689\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.3973 - accuracy: 0.5396 - val_loss: 1.8207 - val_accuracy: 0.4244\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.3687 - accuracy: 0.5598 - val_loss: 2.1566 - val_accuracy: 0.3089\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.3289 - accuracy: 0.5561 - val_loss: 1.8466 - val_accuracy: 0.4200\n",
      "Epoch 23/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.2621 - accuracy: 0.5867 - val_loss: 1.8208 - val_accuracy: 0.4267\n",
      "Epoch 24/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 1.1894 - accuracy: 0.6150 - val_loss: 1.7797 - val_accuracy: 0.4422\n",
      "Epoch 25/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.1162 - accuracy: 0.6393 - val_loss: 1.9488 - val_accuracy: 0.3844\n",
      "Epoch 26/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.0790 - accuracy: 0.6701 - val_loss: 1.7650 - val_accuracy: 0.4378\n",
      "Epoch 27/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 0.9992 - accuracy: 0.6786 - val_loss: 1.7736 - val_accuracy: 0.4467\n",
      "Epoch 28/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.0025 - accuracy: 0.6673 - val_loss: 1.7969 - val_accuracy: 0.4267\n",
      "Epoch 29/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.9204 - accuracy: 0.7093 - val_loss: 1.9301 - val_accuracy: 0.4044\n",
      "Epoch 30/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.8982 - accuracy: 0.6941 - val_loss: 1.8408 - val_accuracy: 0.4244\n"
     ]
    }
   ],
   "source": [
    "earlyStopping = EarlyStopping(min_delta=0.10,patience = 10, monitor='val_loss')\n",
    "\n",
    "print(\"Fit Adam Model with kernel size = 3\")\n",
    "historyAdam3=modelAdam3x3.fit(xTrain, yTrain, \n",
    "                      batch_size=32,epochs=100,\n",
    "                      validation_data=(xValidation, yValidation),\n",
    "                      shuffle=True,callbacks=[earlyStopping])\n",
    "print(\"Fit Adam Model with kernel size = 5\")\n",
    "historyAdam5=modelAdam5x5.fit(xTrain, yTrain, \n",
    "                      batch_size=32,epochs=100,\n",
    "                      validation_data=(xValidation, yValidation),\n",
    "                      shuffle=True,callbacks=[earlyStopping])\n",
    "print(\"Fit Adam Model with kernel size = 7\")\n",
    "historyAdam7=modelAdam7x7.fit(xTrain, yTrain, \n",
    "                      batch_size=32,epochs=100,\n",
    "                      validation_data=(xValidation, yValidation),\n",
    "                      shuffle=True,callbacks=[earlyStopping])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "94/94 [==============================] - 1s 10ms/step - loss: 1.9200 - accuracy: 0.4911\n",
      "94/94 [==============================] - 1s 10ms/step - loss: 1.8474 - accuracy: 0.4117\n",
      "94/94 [==============================] - 1s 12ms/step - loss: 2.0038 - accuracy: 0.3913\n"
     ]
    }
   ],
   "source": [
    "modelAdam3x3.evaluate(xTest, yTestCategorical)\n",
    "modelAdam5x5.evaluate(xTest, yTestCategorical)\n",
    "modelAdam7x7.evaluate(xTest, yTestCategorical)\n",
    "\n",
    "predictionAdam3 = modelAdam3x3.predict(xTest)\n",
    "predictionAdam5 = modelAdam5x5.predict(xTest)\n",
    "predictionAdam7 = modelAdam7x7.predict(xTest)\n",
    "\n",
    "yPredAdam3 = dsu.predictClass(predictionAdam3)\n",
    "yPredAdam5 = dsu.predictClass(predictionAdam5)\n",
    "yPredAdam7 = dsu.predictClass(predictionAdam7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "cmAdam3 = confusion_matrix(yTest, yPredAdam3)\n",
    "cmAdam5 = confusion_matrix(yTest, yPredAdam5)\n",
    "cmAdam7 = confusion_matrix(yTest, yPredAdam7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plotConfusionMatrix(cmAdam3, labels, \"confusion_matrix_augmentation_adam_3\", \"images_point_two/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plotConfusionMatrix(cmAdam5, labels, \"confusion_matrix_augmentation_adam_5\", \"images_point_two/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plotConfusionMatrix(cmAdam7, labels, \"confusion_matrix_augmentation_adam_7\", \"images_point_two/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.validationLoss(historyAdam3, \"images_point_two\", \"validation_loss_adam_3\")\n",
    "pltu.validationLoss(historyAdam5, \"images_point_two\", \"validation_loss_adam_5\")\n",
    "pltu.validationLoss(historyAdam7, \"images_point_two\", \"validation_loss_adam_7\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uGxxY/YaKValkoChmOnwuncCEP5jmsAFsHeC3f8ND+8DRvaFDu9KBb8DeBUryIed8lZu2cXfk90dGkZFfgq+7Iz5ujjg7mB7eunPnGUtHqzQCjfg+V1Ealz+2buNth2/RBQ6H2WshKwE2v9DQYV0pIxaiNsOQBwAB2Req3aVTGzcGBXkR2NqlykSgNF8qGSiKGWITLzAn7kV09u7Y3r4IgkfCiEfgyGI4vbWhw6vo0PcgbLRk4Nqm2jsDRQGVDBSlelKSv+p+AkUKJbd+D+6GjtOxz0ObnvDbw5Cf3rAxlikphCNLocf14BkAHu3MujNQFJUMFKUaedvfp1fWbja2+zdePcdefsLeCaZ+CfmpsPHZBouvgog1UJAOV92v/e7uDzkqGSjVU8lAUapyZhfOu9/kD90wek418obvPwCufhrCV8GJ3+o/vsoOfAM+3aHj1drvHu200USKUg2VDBTFlKxE5M/3Eos/Gzs+Txc/EzNtRz8J7frDH49Dbkq9hlhBwmE4fwSu+heUTYRz99fuFEoKGy4upUlQyUBRjCkthtV3U1qUz/1FjzJ7rOlx+tjaw9SFUJQLfzymlYFoCAe/AQc36Dfj8mMehiJwqqlIqYZKBopizJYXIOEgr9s/jGtAL4Z2rGaJSN+eMO5FOPUHhK2snxjLy0uD42u0ROBU7g7GXSUDxTxq0pnSrF3IKmDVwQTuG90Rtypq7VcQtgoOfE1st3tYHNafzyZ3Mq/+0PD/wKn1sOEZCB6tjeapL0eXgK5IayIqz8OwgIw1+w2K8yE3CfJStO+5ydrPeSnQqgN0Hg9+vS83XSmNkkoGSrP29sZT/HbsPH+eSuKHuVdVX3M/KQJ+fxQ6jOC5rFsJaFXK5BAza/DY2MItC2DhKFj3MNy1pn7eAPU6OPi9loB8e1Z8ztJ3Bmkx9Ip4F2Legrxk7Y2/ONf4tk6toDATtr4Mbn7QeZz21ekacGtjmXgUi1HJQGm24tLy+T30PCO7eHMoNoPbvtrP0vuGEtDK2fgOhVmw8i5wdCdsxMf8vSial2/sVbNlIb07w4RXYcNTcPgHGHyvZS6mKlGbISsOrnvtyuecPLWyFJaaa3B8Db4pe7XE4z8AXH3BzVd7s3cz/OzqC64+Wl9K9nmI2QExf2pxhi7XjtO2L3QZryWHwGFg51D1eRWrU8lAaba++isGOxsbPry9P+fS8rlv8UGmf7mPpfcNoYtvpXpCeh38Og8yzsHcP1i4JxcPJztuv6oWBdQG36f1HWx+UfsUbG0Hv9HuAHrccOVzQmjPWWoWcuY5iu09cZj7h3nbe/jDgDu1L70OLoRqiSFmB+z7DPZ8BPau0GsKTPkcbNVbUkNRHchKs5ScU8jqwwlMG9QePw8nhnRszcoHhlOql0xfuJ+jcRmXN5ZS+yQfuQEmvcU5t35sOn6RO4cFmd/PUJ6NDdz8hdZstPbfIPWWu7DKUqMhZjsMukf7JG6Mh7/l7gyy4il08q1+O2NsbCFgoDYv454N8MxZmLEcet6o3TGc3mKZGK3gbNZZPj3yKS/tfYmU/AYcPmxFKhkozdJ3e85SqtMzb0ynS4/18vfg53nD8XCy585v/2H3acN/6l3vavV8Rj4KQx/k+z1nsbURzB0RXPsAPNvD5Hcgbh/+5zfV7WKqcug7sLGHQXNNb2PRO4M6JIPKnDy0shk3f6E1Mx1dapnjWkhmYSYrTq3gzvV3MmXtFL47/h0bzmxgxvoZRKRFNHR4FqeSgdLsZOWXsOzvOG7o60+Qd8UFU4K8Xfl53nA6tHbh3kUHCVv7Iex8E/rNgmv/j4y8YlYdSuCW/gH4eTjVLZB+M8EvhDYp++t2HFOK8+DoMq2Jxd3P9HYe7SDnYt3nP+j1kJVAoZOFO39t7bW/VdRmLU4TzmSe4dHtj7Il1np3ECW6Ev6M+5PHdjzGNauv4Y1/3qBAV8BTg59i2/Rt/HTDT9gKW+ZunMumWCsm+QagGuiUZmfJ/lhyi0p5aExno8/7ejix8sHhfPPVR4QcfZME39G0n/IpCMGPf5+joETH/Vd3MrpvjQgBQSPwOLQEdKWWbw8PXw1FWZfrEJni7g+6YshP0zp2aysvGXRFlrszKG/gHNj7MRz7CUY/UeGpEl0J3x7/lm/CvqFEX8LpzNNcG3QtNsIyn2WllMQWxfLG32+wKXYTmUWZeDt5M6vHLKZ0nkL31t0vbdvGpQ3Lb1jO4zsf5+ldTxOdEc2/+//bYrE0pKZ/BYpSTkGxjh/2xXJN9zb08je9ULvnxb95Muc9zjr1YEL8PXyyI5bCEh2L98cytnsbuvlZaMGawKHY6gsh2cLNClJqdYj8QqDDsKq3LZuFnJ1Yt3NmxgNQ5GiFZODdGYJGak1F5e5gwlLCuP2P21lwbAHXdriW54Y8R3xOPPvO77PIaXV6HfduvpcPLn7Ar9G/MrzdcBaMX8C227bx9FVPV0gEl0J19ubb677lli638FXYVzy580nyS/ItEk9DUslAaVZWHIwjPa+Yf1/TxfRGF8NhxSyEV0c6PPwHkwd25qNtUdz+1X5Sc4t5YLQF7grKBA7RvscfsNwxAeL+hqTjFesQmeJhmPxW107krDgAyzcTlRk4R1uq89xe8kvyeefAO9y14S5yinP4fNznvDvmXW7vdjveTt6sOLXCIqfcEb+DQ0mHmOw5mR237+DdMe8yuv1o7GyqvotzsHXg1RGv8tTgp9gev527N93NhdymPctbJQOl2Sgu1fPNX2cYEtyaq4JNlI9IPws/TtOWqpy9Bnt3H96f3o9/jepIWEIWvf09GN7Z23JBeQZS5OAN8f9Y7pigDSd19IS+t1e/7aWJZ3XsRM4sSwZWuDMA6DkFHD3Ye+BTpv42lR9P/sjt3W9n7c1rGRM4BgB7W3umd5vOXwl/kZCTUOdTLopYRIBbAJM8J+HuULO7QSEEd/e+m8/HfU5CTgIz1s/gWPKxOsfUUFQyUJqN344lcj6rkIeuMd5XQG4K/HgrlBbBXb9oI34AGxvBCzf05ItZA/nojv7mlZ4wlxBkefawbDLISYIT66D/LHBwrX57Nz9t5bO63hlkxoNTK3R2LnU7jqnD64t5Prgn8wpO4mBjx+JJi3lx2Iu4ObhV2O62brdhI2xYFbmqTuc7lnyM0JRQ5vSaU6c2/9HtR7Ps+mW42rty7+Z7WRu9tk5xNRSVDJRGpVRfuxEver1k4a4YerXzYGw3I80YRTmwbLr2hjhr1RVlG4QQ3NC3neX6CsrJ9uihfaq21Fj/I4tBX3JlHSJTbO20WcF1vTPIiodWtZiEVw0pJRvObODm325mY0kyD2Rk8bP/jQz0G2h0ez9XP8Z1GMea6DUUlta+NPeiiEV4OHhwS5dban2MMp1adWL5DcsZ6DuQl/a+xPsH30en19X5uPVJJQOlUUjOKeQ/y47w0LZ8NobX/E1zy4mLxKTk8dDYzld+si8t1spMXAyH2xZBh6GWCdpMWZ49tB8SLNBvICUcXqzNbPapol+ksmqWvyzWFaOvbnJcZhx4djD/nFUdqjCTTbGbeHnvy0z4eQLP7n6WALcAVt64kkecOuBYVrbChJk9ZpJVlFXr4Z3nss+xPW47d3S/Axd7y9zpeDp68uWEL5nRfQaLTyzmiZ1PUKQrssixQZv4VpfkVx2VDJQGJaVk1aF4Jnz4F1tPJtHGWfCfn46w/EBcjY6xYGcMwd4uXN+nXcUn9XpYOw/O7IQpn0H3SZa9ADPkunUEOyfLdCKnnILsBOg9tWb7VbH8ZbGumClrp7Dg2ALT+0upNRO1ql0yKNGXcCTpCJ8f/ZxZ62dx9cqreXrX02w7t42+bfry+sjXWTp5Kd1ad4cBc7SyFRdCTR5vsN9gurTqUuuO5CURS7CzsWNWz1m12t8Uext7Xhj2As8NeY7t8duZt3UeOcU5dT7uXwl/MXP9TD48/KEFojROzTNQGkxcWj7/+zWMvdFpDAluzVvT+hAddpDlca78b024NirI2Cf9SvZEpxKWkMXbt/bB1qbStvs+geO/wLXztfo4DUDa2IP/QMv0G8Rs1753rmHNI492cG6v0ac2nt1IYm4if1/4m4cHPGx8/4IMKMnTmonM/LCblJfEroRd7E3cy4GLB8gtycVG2BDiE8K8fvMY4T+CEJ+QK0fu9L0NtrwIR5bCDf2MHlsIwR3d7+CNf94gPCWcPm36mBcUkF6Yzm8xvzGl8xR8nOsw76IKd/a8E09HT17a8xL3bb6PBdcuqNW5pJQsiljER4c/okfrHtwbYr3ChyoZKPWuVKfnh72xfLA1EjsbG16/JYRZQzpgYyOItxV8M2cwT68O5b3NkaTnFfPC9T2xqfwmX86CHTH4eTgydWCl9QPSYmDn29DjRhj5mHUvqjqBQ2D/F9ryk/Z1mNkcsx28u9b8E7p7O62cdEkB2F+u2iqlZNnJZQCcTDtJib4EexsjNY4MI4nwDITk6k+nl3ru+OMO0grTaOfajonBExnhP4Kh7Ybi6ehZ9c7OXtqs6rBVWiVWe+NVZm/qfBMfH/mYFZErapQMVp5aSZGuiDm95pi9T23c2OlGPB08eWLnE9y98W6+vu5rAtzMX+OiSFfEq/tfZV3MOiYGT+S1ka/hbGei4q4FqGYipV6dvJDNrV/u440NJxnVxYetT1zNXcOCKrzZ29tqlUbnjgjmuz1neWp1KCU64+3ZR+My2H8mjftHd8LRzvbyE1Jq6xLYOsL17zf8wiqBQ7VO3wvHan+M0iKI3VvzuwIwucjNkeQjnEw/ydC2QynWF3M647Tx/cuSgZlJKDY7lrTCNJ696lk2T9vM/BHzuS74uuoTQZmBc7TZ1Sd/N7mJq70rN3W6iY1nN5JemG7WYQtLC1l+ajlj2o+hUysLzicxYXT70Xxz3TdkFGUwe8Ns03/fSlILUrlv832si1nHf/r/h/eufs+qiQBUMlDqSWGJjvc2n+Kmz/ZwPrOAz2cN4Js5g2nnafwfuI2N4JWbevHkhG6sOZrIg0sPU1B85eiMBTtjaOViz8whld6kji6F2N1w3auXZ+A2pEuTz+rQVBT3N5QWaGsA1JSJRW5+PPEjno6ePDfkOQCOpx43vn+WNvvY3GQQlhIGwHD/4bUbqhs0CryC4ciSKjeb0WMGJfoS1pxeY9Zh18WsI6Mog7t7313zmGqpv29/Fk9aDMDdm+6udi7CybSTzFw/k6iMKD4c+yHz+s2z7HBnE1QzkVIrpTo9f51OobCk+vLMBcU6vtgZzZmUPKYPas8L1/fEy7X6xUyEEDwyviterg689Ntx5nz/D9/efRWezlozRlRSDltPJPHo+K64li81nXNRa3MOGqV1RjYGrj7QunPdOpHP7AAbOwgeVfN9L90ZXE4GibmJbI/fzj2976Fzq860cmzF8dTj3N7dyES2zHht3QFnL7NOF54Sjpu9Gx09O9Y8VtDKgA+YDdtf05r7vI3PHencqjND2w5ldeRq7ul9D7Y2tka3A63pasmJJfT27s1gv8G1i6uWunp1Zen1S3lgywPcv+V+Phj7AVe3v/qK7bae28oLe17A09GTxZMW09O7p5GjWYdKBkqtvLHhJD/sjTV7+/Zeziy9bwiju9a8lMFdw4Jo5WLP4yuPccdX+1ly7xB8PZxYuDMGFwfbK0tNb3xGa5u/6RPtTaWxCByq1eyXsnbNVjHbof0QbfZ0TRmZhbz85HIEghk9ZiCEIMQnhONpJu4MMuO0uwIz4w5LDSPEJ6RuBdz6z4Idb8DRH+HaV0xuNqPHDB7f+Th/JfzFNR1MN6HtjN/JuexzvHf1e/XySbuyALcAlkxewkPbHuLR7Y/y2qjXuLHTjYDWd7MwbCELji2gX5t+fHzNx1br3DZFJQOlxo7GZbBoXywzrgrknpHmffIL8nbByd70p7bq3NjXH09nex5cepjpC/fz1q19+C30PPeMCK54l3HyDzjxG4x/uWbj8OtD4BAI/Umrv2Pik65JeanaUMtrXqzduZ08wMHt0p1Bfkk+a06v4dqga2nrqq3xHOITwr6wfeSX5F859j4rzuwJZ/kl+URlRPGvPmZOijPFwx+6XqdVMr3mBZNVX8cGjsXPxY8VkSuqTAaLIxbj7+rPtUHX1i2uOvB29ub7id/zyPZH+N/u/5FVlMWtXW/lpb0vsTl2M1M6T+GV4a/gYFv/y4Ba9WOTEGKSECJSCBEthHiuiu2uEkLohBDTrRmPUnfFpXqe+yWcth5OvHBDT7q3dTfrqy6JoMzorm346f5h5BSWcOe3/2Aj4F/li8oVZmkrlvmFwIj/1vl8FhdomOxWm6aiMzu177XpLyhTbpGb32J+I6ckh7t63nXp6T4+fdBLPSfSTly5b2a8NpLIDCfSTqCXevr69K19rGUGzIbcixC91eQmdjZ23NbtNvad30dsVqzRbUJTQjmSfITZvWZXW4TO2twc3Fg4YSHjAsfx9oG3mbJ2Cltit/DkoCd5feTrDZIIwIrJQAhhC3wBTAZ6ATOFEL1MbPcOsNlasSiW89WuGCKTcnj9lhDcnUwss2hF/QNbsdqwOM2c4cG09Sw3THPbfMhNgimfml4CsiG16QGOHrXrRI7ZAU6twL9/7c9vmIWsl3p+OvkTId4h9GtzeRx/b+/eAFeu4lWYrQ1LNfPOICxV6zyuyXBPk7pN1EppHKl6FbRp3aZhZ2PHysiVRp9fHLEYdwd3bu16a91jsgBHW0c+GPsB07pOI68kj8/Hf87ckLkN0nxVxpp3BkOAaCnlGSllMbACuNnIdo8Av2DW6GWlIUUn5/LZ9mhu7NuO8T2rWFnLyrr4urPzqbG8eEO5zrVz+7SlK4c+BAGDGiy2KtnYQPurjN4ZRKRGsOb0GqSx1cik1PoLOo3R1hGuLcMs5D2Je4jNjuWuXndVePPxdvbG39Wf8NTwivvVYiRRoHsgrZ1MVI6tCVt76D8TojZVuQqaj7MPE4Im8Fv0b1esLRCfHc+fcX9atPSEJdjZ2DF/xHx237HbaGdyvcdjxWMHAPHlfk8AKhSFEUIEAFOBccBVpg4khHgAeADAz8+PnTt31iqg3NzcWu/bWNXXNeml5O0Dhdjb6JngnWW1c9bmemx0xQw+9BjCyZeD9lejb2SvcflrCtL5Epy8nT3b1lNq68LJwpNsy9rG6SJt/HlsVCwDXSsWaHPJi2dIznkiS9tzoQ7X1jGzhMDs83y29zM8bD1wPOfIzriKx/OTfhxKOFThNfBOPUgf4EhMKtmpO6t8jaSUHEw8SDenbhb7N+Jc0p2hUkfMr28Q32Gaye16FPZgY8lGPtr0ESPdR156fFX6KoQUBKcHm4ypub031Op6pJRW+QJuA74t9/ts4LNK26wGhhl+XgRMr+64gwYNkrW1Y8eOWu/bWNXXNf34d6wMevYPuepgnFXPU6vr+fM1KV/xkPL0VovHYwkVril6uyx+xUOu2/uWnPrbVBmyKESOWzVO/hD+g5z621Q5+ZfJsri0uOIB9i/Qri89tm6B/P2VjH69tQxZFCK/Cv3K6Cbfh38vQxaFyLSCtAr7yVc8pMy+cOX1VHIh94IMWRQifzzxY91irey7SVJ+MkBKvd7kJnq9Xk5fN13e+tutUm/YLqMgQw5eOli+uOfFKg/f3N4bjF0PcEhW8d5qzWaiBKB8I2N7oHIN3cHACiFELDAdWCCEuMWKMSm1cDGrkLc3nGJkF2+mD2rf0OFUlBQBez6CvjOgS8ONEjFHXkkeS/KiuT7Qn+dPL0NKyesjX2fTrZuYGzKXxwc+TnxOPKujVlfcMWa7NkfBK6huAXi0Y5mHOw422gIxxoT4hABas9UlWXHaTG7X6he1CU3RisuV74uwiIFzID1Gaw40QQjBjO4ziMqI4mjyUQBWRq6kUFfI3b3qb5JZU2XNZHAQ6CqE6CiEcABmAOvKbyCl7CilDJZSBgM/A/+WUq61YkxKDUkpeem34xTr9Lw5tU+DdnBdQa+DdY+AkydMfLOhozEpW5fNJ0c+YcLPE3jv6Ke0F458QVvWTFnDzV1uxt7Q2T0qYBRD2g5hYehCcotztZ1LiyB2T91GERlkOXvwu5srN3r3N9me38u7FwJRcSZyZry2EJAZczbCUsJwsHGgu9eVawfXSa+btc73amYkX9/petwd3Fl+ajlFuiJ+OvUTowJG0cWrkQ0zboSslgyklKXAw2ijhE4Cq6SUEUKIeUKIedY6r2JZm45fZOuJJJ6Y0I0gbzNW1apPB76GxMMw6R1wteBSlRaSX5LPm/+8ySsJr/Bd+HcMazeMn67/iR/8xnN14klEpfUDhBA8MegJMooy+CHiB+3B+ANQkl+7ekSV/Jx6lEIbG+5072ZyG1d7Vzq36lyxE7kGi9qEp4bTy7vXpQRnMQ4u0Ge6NoekINPkZs52ztzS5Ra2ndvGD8d/IL0wnbm951o2lmbKqvMMpJQbpJTdpJSdpZRvGB5bKKVcaGTbuVLKn60Zj1IzWfklvLwugt7+Htw3qpZlBawlMw7+fA26TNDeJBqZyPRIZqyfwYpTKxjqNpTfp/7Oh2M/1IZbBg6F4hxIPnnFfr19ejM5eDJLTywlOT9ZayISthA8uk7xlOhLWH72D4YWFNKtuKTKbUN8QohIi7g8sqls9nF159CVcCLthGWGlBozYLZWm+l41W8Td3S/g1JZyhfHvqBn654MaTvEOvE0M41orr7S2Ly18STpecW8M60vdraN7J/Khme07zd+2PAVScuRUrLy1EpmrZ9FTnEOX1/3NTO8ZxDkUa69v5qidY8MfIQSfYm22MyZHdr2Th51iuvPuD9Jyk/izhJ7k4vclAnxDiG9MJ3zeee1ktd5KWatcBaVEUWRroi+bSww2cwY/wHQ8WrQVZ3MgjyCGOmvjSa6u/fdjatpsxFrZP/DlcZiX0wqKw7G86/RHQkJMLPscH1Ji4GojTDqsVqvvGUNWUVZPLHzCV7/53WuancVP9/0M8PaDbtyw1ZB2iL1JmYiB7oHMqP7DH49/StnUo5rS1zW0Y8nfiTQPZCrnfyuKGNdWUgbrRP5eOpxyEowxFx9M9GlzmMfC3celxEC7v4dhj1U7aaPDHiEaV2ncV3wddaJpRlSyUC5QmGJjufXhBPk7cJj4023LzeYo0tBGKpaNhLHko9x2++3sTN+J08OepIF4xfg7WyiH0MI7dN+FTORH+j7AC429nzs5VnnzuPwlHBCU0KZ1WMWtlUsf1mmW6tu2NvYa8kg85z2oBlJNzw1HB9nn0u1jhpSb5/ezB8x3/hCPYpRKhkoV/j0z9PEpuXz1tQ+ODvUvaaQRelKtcJlXSc2inUK9FLPt+HfMnfTXGyEDUsmL2FuyNzqq3UGDoWMs5BrfOK9l5MX9zq0Y4erC0fqODX0x5M/4mrvyi1dbtGKv2VXnQzsbe3p2bqn1omcaZg3akZdorCUMPr69FXNMk2USgZKBSfOZ/PVX2e4bVB7RnSp3xK6Zjm9Ras/NLDh1ylILUjlwa0P8smRT7g26FpW37Ta/M7T6orWScldiWfwxY4Pjn5svEyFGZLzk9kSu4WpXabi5uCmFasryoLivCr36+3TmxNpJ9Blxmkd2O5VJ96MwgzicuKs11+gWJ1KBkoF89dF4OVizws31N+iGjVyZInW3t61YduC9ybuZdq6aRxLPsb84fN57+r3cHeowToD7fqBrQPE/238+bRonLMT+I//NYSlhPFn3J+1inNl5Ep0UsesHrO0B4wscmNMH58+FJQWcCY9EjwCTJaPLlM2FFUlg6ZLJQPlkrTcIg7EpnP38GBauTRMGd0qZV/Q7gz6z6r2zcmalp1cxrxt82jt1JrlNyxnWrdpNW8asXPURseYujOI2Q7AlIH/obNnZz4+8jEl+qpH0VRWpCtideRqxgSOIdDD0MxjZJEbY8pmIh/PjTervyAsJQwbYXOp8qnS9KhkoFyyLyYNgFFdG2HzEGgLw0hdg3YcLzu5jLcPvM34DuP56Yaf6jazNXAInD+qzTKuLGY7eHXEzrszjw16jHPZ51gTZd46v6BV6nxm1zPaQuw9y/29zLwzCPIIws3ejeMl6WaNJApLCaNrq66NqiqoUjMqGSiX7I1Oxd3Jjj6NbSgpaGWcjyzV1jWu6SphFrLi1ArePvA24wLH8d6Y93C2c67bAQOHgq5YW8GsvNLiCiUoxrQfwyC/QSwIXUBeSdVt/ZmFmbxz4B2m/DaF/Rf288iAR7iqbbmCwGbeGWif8nsRLkqr7TzWSz3hqeGqiaiJU8lAAbTJUrtPpzK8k3fjm2AG2ptjxlkY2DB3BasiV/HGP28wNnAs74953zJDFtubmHyWcBCKcy8lg7IyFemF6SyOWGz0UEW6In44/gPXr7men079xM2db+aPqX/wQN8HKjZhObppNX6quTMACHEL5LSDPUVldxMmxGbFkluSq5JBE9cI/9crDSEuPZ/EzILG20R0dCk4ekLPKfV+6tVRq3nt79cY034MH4z5wHJ1d9z9wCv4ymRQVoKi4+USFH3b9GVC0AQWRSwitSD10uN6qWf9mfVM+XUKHx7+kH6+/fj5pp+ZP2I+vi4mqoyWW/6yKn0cWlMqBKeq6Z4pm2xmkWUulQajkoECwJ5o7Q1mZGMcTlqQqRUo6zNdK1hWj9acXsOr+19ldMBoPhz7oeXXpw0cqnUilx86emYHtB+sVWMt59GBj1KiK2FhqFba6+DFg8xcP5Pndj+Hh6MH31z3DV9e+yVdvbpWfU7D8pfVCZHatR4vza5yu7DUMNzt3Qn2DK72mErj1bArQyuNxt7oVNp5OtHJp5FVJgUIXw2lhfU+t+DX078yf998RgaM5KNrPrLOQuWBQyBspTbT1ysY8tMh8QiMfe6KTYM8gpjebTqro1aTkJPA3vN7aevaljdHvckNnW6ofqJbGXd/SN1V7WZ+eRm0KdVxPC+xyu3CU8Lp06aP+edXGiX16ino9JJ9MWmM7OLTOGePHlkCbfvUbTH4Gvot+jde2fcKw/2H88k1n+Bo62idE1WefHb2L0CarEc0r988nOycCE0J5bGBj/H7Lb9zU+ebavZG7NFOW09Yr6t6u6x4QnSC4+lXVlctk1+Sz+nM0/TxsVKlUqXeqDsDhRPns8nML2FUY2wiOn8MLobB9e/X2yl/j/mdl/a+xNB2Q62bCAB8e4GDu9Zv0Pd2rb/A0QMCBhnd3NvZm1+m/IKbvRuejrUc9eXeThuim5tcdUmPzDhC7DzYkR1LdnE2Hg5XVk6NSItAL/Wq87gZUHcGyqX+ghFdGt8CMRxdqi25WE9rFqw/s54X977IkLZD+HTcpzjZOVn3hDa2Wv9A/D9av0HMDq1McxWT6gLcAmqfCODyXIPqOpEz4whxDQAqLYNZjuo8bj5UMlDYG51Kdz93fN2t/MZXUyUFELZaW/LQ2cvqp9t0dhPP73meQX6D+HTcp3WfR2CuwKHaWs4XQrX1hi2wqlmVzJl4ptdBdiK9vbSqtRFpxpNBeEo4QR5BtHJqZeEglfqmkkELV1ii40BseuMcRXRinVZUrR7mFmQVZfHyvpfp16Yfn4/7vH5n0gYOAamHv97TfrfAesdVci+7M6giGeRcBH0pnl6dCfIIIjwl/IpNpJSEpYap/oJmQiWDFu7wuQyKS/WM6tpIm4i8Omqzjq1sddRqCkoLeHHYi/VfUqH9YEDAqT+0EUWtO1n3fK5twMau6kVuMuO07606EOIToq1tUMmFvAukFqSq/oJmotpkIIS4UQg1Zqy52hOdip2NYEjHRpYM0mIgdjcMuAtsrPvPr1hXzLKTyxjpP5JuXg2wmI+Tp9aRDBZZ1axaNjbg1rbqO4MswzoGrToQ4h1CckEySXlJFTYJSw0DVKXS5sKc/2UzgNNCiHeFEI20rrFSW3ujUxnQoRVujlYYWJabDNF/wv4v4Ny+mu179EdtNbP+d1o+rkrWn1lPakEqd/e+2+rnMqlsXWRrNxGV8Whn3p2BZ/vLFUzTKt4dhKWE4Wjr2DAJVLG4at8BpJR3CSE8gJnAD0IICfwALJdS5lg7QMV6MvOLCU/M4tHx1cxYrY6uFNJOw8XjkBRu+H5cW4SmvAGz4brXqu8MvrSa2XVWX81MSsniiMV09+pufL3i+tLzJm2OQacx9XM+93aQcsr081nx4OINDq70aN0DO2FHRGoE4zuMv7RJWEoYvbx7qaUlmwmzPg5KKbOFEL8AzsBjwFTgaSHEp1LKz6wYn2JF+2PSkJLazS/ISoRd78CFY5B8CnSGMsy2DtCmO3S5FvxCoG0IeHeBfxbCvs+19Qiuf08bIWRK9FbIvVgvM453J+4mJiuGN0e92bAT7rqMh/8eqb/zefhrw1hNyYy7tI6Bk50TXb26XlrABqBEV8LJtJPM7DHT2pEq9aTaZCCEuAm4F+gMLAWGSCmThRAuwElAJYMmak90Kq4OtvQLbFWzHUsKYcUsSImEDsNg6APg10d74/fpBsYKuU14FXrfCusehlVzoMeN2kQyY5/8jywBV996Wc1sccRi/Fz8mNRxktXP1ai4t4PiHCjKAUcjK7RlxoPv5Vbh3j692Xx2M3qpByAyI5JifbHqL2hGzOkzuA34SErZV0r5npQyGUBKmY+WJJQmam90KsM6eWNf05LVG5/W7ghu+wHmrIXrXod+d4Bfb+OJoIx/f7h/B1w7H6K3wRdD4fCiCkXaHIrSIWqzYTUz6zY/RKRFcODiAWb3mt3ymjqqmmsgpdZMVG6Fsz4+fcgpySEuW+tLuDTZTCWDZsOcd4FXgEtr8wkhnIUQwQBSytotzKo0uPj0fGLT8ms+v+DIUu2T++gnofvkmp/Y1h5GPQ4P7YN2feH3R2HxTdroIaDtxe31tprZ4ojFuNm7Ma3rNKufq9GpapGbvBStMGC5ZFDWiVzWVBSWEoavsy9+Ln5WD1WpH+Ykg9WAvtzvOsNjShO2L0YrQVGj9QvOH4P1T0KnsXDNC3ULwLszzFkHN30CF8LgyxGw5yPaXtwGQSPBpw7LSZrhfO55tsRuYXq36bg5uFn1XI1SVXcGmYZhpeVWOOvk2QlnO+dLM5HLVjZrlIUNlVoxJxnYSSmLy34x/NwIV0tXamJPdBpt3B3p6mvmG2F+OqyarU1YmvadVlOnrmxsYNBc+M8/Wofztvm4FFyol7uCH0/+iEBwZ0/rD11tlKq6M8gqm3B2ORnY2djRs3VPwlPDydHlEJ8Tr5qImhlzkkGKEOLS8lJCiJuB1Cq2Vxo5vV6yLzqVUeaWrNbr4dcHtRIFty8BVwuXrvBoBzOWwe1LON9uAvS+xbLHryS7OJtfon5hUsdJtHVta9VzNVoOLtpkN6N3BmVzDCqufRziE8KptFOcKToDoMpQNDPmJIN5wPNCiDghRDzwLPCgdcNSzPHG+hNsiS2p8X6RSTmk5RWb31/w13vakNBJb0N746WVLaLXzUR1fxjsrVsg7ueon8kvzW/YSWaNgbu/8VnImfHaEqPOrSo83MenD8X6Yvbl7MNW2NLLu1f9xKnUC3MmncUAw4QQboBQE80aB71esvTvcxSV6LktLoMBHcyv6rn30hKXZpSgOL0Ndr4F/WbC4KY/eKxEV8KyE8sY1m4YPVr3aOhwGpapWchZ8RWaiMqUdSKfKDxBz9Y967+Gk2JVZo0pFELcAPwbeFwI8bIQ4mXrhqVUJz4jn8ISPRJ4cnUohSXVrFpVzp7oVDq3caWdZzWfwDPOwZp/aUNGb/gQmkFn4YazG0guSGZu77kNHUrDq+rOwPPKZBDgFkArx1aAGlLaHJlTqG4hcAfwCCDQ5h0EWTkupRqRF7UbtFu72nMmJY93N0WatV9xqZ5/zqRXP+u4pFCbHKbXwx1L630hemuQUrIoYhFdvboywn9EQ4fT8DzaaSVDdKWXH5Oywuzj8oQQl+4OVH9B82POncEIKeUcIENK+X/AcODKjw1KvTqdnAvAhCB7Zg8L4vu9Z9kfk1btfkfjMigo0VXfX7DxGW1i2a1fWb+kcj3Zd34f0ZnRzO09Vw2JBMPyl/qKNaQKM7WZyUaaieByElB3Bs2POcmg0PA9XwjhD5QAHc05uBBikhAiUggRLYR4zsjzNwshwoQQx4QQh4QQ1i9c30xEXswhoJUzznaC5yb3IMjbhad/DiW3qLTK/fZGp2IjYFjnKvoLjv4IRxbXfmJZI7UoYhG+zr5MDm4+11QnHkYWuTEyx6C8O7rfwZ3edxLsEWzd2JR6Z04y+F0I0Qp4DzgCxALLq9tJCGELfAFMBnoBM4UQlYcf/An0k1L2Rytt8a25gbd0UUk5dG+r1ZRxdbTj/dv6kZhZwBvrT1a5357oVPoFtsLDyUT5hfPH4I8nLDOxrBE5lX6Kvy/8zZ297sTeymUumoxLE8/KdSKXW9TGGG9nb4a5DVN3Vs1QlcnAsKjNn1LKTCnlL2h9BT2klOZ0IA8BoqWUZwwT1VYAFUpVSilzpbxUmMYVkCjVKtXpOZOSR1e/yxPGrgpuzQOjO7H8QBw7I5ON7pddWEJoQlbV/QXrHtbmEVhqYlkjsThiMS52LkzvNr2hQ2k8jC1/WW5RG6VlqTIZSCn1wAflfi+SUmaZeewAIL7c7wmGxyoQQkwVQpwC1qMK35klNi2fYp2e7n4Vq00+PqEbXX3dePaXMLLyr5x/8M+ZdHR6abq/oCADLobDVfdZfmJZA7qYd5FNZzcxrds0PBw8GjqcxsPFG2zsK90ZxIOds/ac0qKYs57BFiHENGBNuU/x5jB2H3nF/lLKX4FfhRBXA68B115xICEeAB4A8PPzY+fOnTUI47Lc3Nxa79uYHLyo9Qtkx0fiYFtQ4Zru7Kzj1b+LmPftnzzY16nCfitPFOFgCzmxYeyMu/Ll8Uo/Sj/gWKo9mQ30d7LGa/Rrxq/opZ4uWV0a5PVvzP/uhtl7kRl9jFP2OwHoHX0YFwdvDu7aZXKfxnw9tdXcrqlW1yOlrPILyEErVFcMZBt+zzZjv+HA5nK//w/4XzX7nAV8qtpm0KBBsrZ27NhR630bk4+2Rsrg5/6QBcWlRq/pwy2RMujZP+TG8PMVHh//wU4557t/TB945ztSvuIpZUGWZQOuAUu/RtlF2XLosqHy6V1PW/S4NdGo/919O0HKH264/PvC0VIuvbXKXRr19dRSc7smY9cDHJJVvLdW24EspXSXUtpIKR2klB6G38251z4IdBVCdBRCOKCtpbyu/AZCiC7C0BMlhBiIVgCv+vGRLVxUUg5BrV1wsjfepv/wuC6EBHjwwq/HSc3VViC7mFVIdHJu1f0FCYe0Vcqcmk9TymdHPyOvJE+VnjDFvd2Vo4lMjCRSmjdzJp1dbeyruv2klKXAw8BmtBXRVkkpI4QQ84QQ8wybTQOOCyGOoY08usOQwZQqRCXl0q1Sf0F59rY2fHh7f3IKS3l+TThSynIlKEwkAykh8TAEWLH2UD3bcGYDy08tZ3av2fT27t3Q4TROHv5asTopoSgXCtJV53ELZU6fwdPlfnZCGyV0GBhX3Y5Syg3AhkqPLSz38zvAO2ZFqgBQVKrjbGoek3pXXW2zm587T17Xjbc2nmLtsUT2Rqfi7epAj7YmkkjmOchPbTbJ4HTGaebvn89A34E8Pujxhg6n8XJvByV5UJR9uSNZJYMWyZxCdTeV/10IEQi8a7WIlCqdTc1Dp5d0M/WmXs6/Rndiy4kkXv4tAntbG0Z28cHGxsT48IRD2vf2gy0YbcPILc7liZ1P4Grvyvtj3m95S1rWRPlFbqqZcKY0bzVc/BbQhoiGWDoQxTxlNYm6+VW/KI2tjeCD2/pRqpOk5xUzqqoqpYlHwM4JfJt2WWIpJS/tfYn4nHjeH/M+bVzaNHRIjVv5RW6MLGqjtBzV3hkIIT7j8pBQG6A/EGrFmJQqRCXlYGcj6ORj3gplwT6uvHRjL179I4Kru1Xxxph4CNr1t/oi9Na2KGIR2+K28dTgpxjk1zyavKzKw5AMsi9os49t7MGthS7408KZ02dwqNzPpcByKeVeK8WjVCMqKZdgH1cc7My/qZs1tAPTBgXgaGdiRrGuBC6EwlX/slCUDePAhQN8fORjJgRNYE6vOQ0dTtNQ/s4gMx4822vLkSotjjnJ4GegUEqpA63mkBDCRUqZb93QFGOiknII8fes8X4mEwFAUgSUFkLAwDpE1rCS8pJ4+q+nCfII4rWRr6naOeaydwZnL+3OwMSiNkrLYM5HgD+B8qugOAPbrBOOUpWCYh1x6flVDiutlUTDzV9A0+w8LtGV8OSuJykoLeDjsR/jau/a0CE1LWWL3JhYx0BpGcy5M3CSUuaW/SKlzBVCNP2VTpqg6ORcpDSv87hGEg6Di0+TfSN4/9D7hKaE8t6Y9+jUqnmsvVCvPNpBRqy2roFn0/w3oNSdOXcGeYbZwQAIIQYBBdYLSTElKskwksiMYaU1knhYG1LaBJtWNpzZwE+nfuKunncxKXhSQ4fTNLm3g2RD6XPVTNRimXNn8BiwWghRVtqwHdoymEo9i0rKwcHWhqDWFrwxK8yC1Cjoc5vljllPyk8se2LwEw0dTtPl4c+lAYNN9O5QqTtzJp0dFEL0ALqjVSI9JaW8sj6yYnVRSTl09nXDztaCoz3OHwVkk+s8VhPLLKhsRBGoCWctmDm1if4DuEopj0spwwE3IcS/rR+aUplWk8jS/QVlncdNKxm8+veramKZpZTNQhY2l39WWhxzPmLeL6XMLPtFSpkB3G+1iBSjcgpLSMwssMJIosPg3UUbXthEZBVlsTl2M7N7zVYTyyyhLAF4BDT5SYdK7ZmTDGxEuUHbhrWNHawXkmLM6WRtQJdFk4GU2p1BExtSuv/8fvRSz/gO4xs6lOahbPlL1UTUopnTgbwZWCWEWIjWyzQP2GjVqJQrnDaMJKq81GWdZCVAXnKTK063O3E3no6e9PHp09ChNA8urcHWUY0kauHMSQbPoi05+RBaB/JRtBFFSj2KvJiLs70t7b2cq9/YXIm16y/IL8ln8YnFHLp4iI+v+Rh3Bws3XVVBL/XsSdzDCP8R2NpUMataMZ8QcN3r4N+/oSNRGpA5o4n0Qoi/gU5oQ0pbA79YOzClotPJOXT1czNdgro2Eg9rnwj9zPuErdPrWBu9li+OfUFKQQoA285tY2rXqZaLqRon00+SXpjO6IDR9XbOFmHoAw0dgdLATPYZCCG6CSFeFkKcBD4H4gGklNdIKT+vrwAVTeTFHLr6WvgTeMJhaNcX7KruApJS8lfCX0z/fTrz98/H382fJZOX0N6tPZtiN1k2pmrsSdgDwAj/EfV6XkVp7qq6MzgF7AZuklJGAwgh1JJRDSAzv5jknCK6t7XgsFJdKVw4BgOrru55Mu0kHxz+gH8u/EMH9w58OPZDru1wLUIIJgZPZFHEItIL02nt1NpysVVhd+Juenv3xtu5irUZFEWpsapGE00DLgI7hBDfCCHGo/UZKPUsKkkbSdTVkp3HKSehJN/kSKILuRd4fvfz3PHHHUSmR/LckOdYe/NaJgRNuFQRdFLHSeikjm3n6qduYVZRFuGp4Yxur5qIFMXSTN4ZSCl/BX4VQrgCtwCPA35CiC+BX6WUW+onRCXSGiOJTEw2yy7O5rvw7/jxxI8A3BNyD//q8y+jncTdvboT7BHM5tjN3N79dsvFZsK+8/vQSz2jAkZZ/VyK0tKY04GcBywDlgkhWgO3Ac8BKhnUk9NJObg72tHO08lix5QJB0ly9SYqP4HIxO1EZkQSmR5JXE4cUkpu7HQjjwx4hHZupgeOlTUVfRP+DakFqfg4+1gsPmN2J+ymlWMrQrzVqquKYmnmDC29REqZDnxl+FLqSeRFbSRRXRZsOZ1xmoi0CCLTI4nKiCIy8wBZvq6w/WEAAtwC6O7VnckdJzOuwzh6tO5h1nEnBU/iq7Cv2BK7hVk9Z9U6vuropZ695/eqIaWKYiU1SgZK/ZNSEpWUw8TetV+X9ueon/m//f8HgJOtE108O3Jtbi7dO4yl+9BH6OrVtdZzBbp4daFLqy5sjt1s1WRwMk0bUqqaiBTFOlQyaORSc4vJyC+pdRmKvJI8Pjv6GQN8BzB/xHyC3IOwPbcPDt8IE2eBX90L1E0MnsgXx77gYt5F2rpaZzH1vxL/QiAYGTDSKsdXlJZOrXzdyJWVoahtMigb+vn04Kfp5NlJa2K5NPPYMkXeyhaV2Ry72SLHM2ZP4h5CfELqbQirorQ0Khk0cpGXVjer+RyDlPwUFkcs5rqg6+jTptws44RD4NVRq0ljAcGewfRs3dNqySCjMIPwlHDVRKQoVqSSQSMXlZSLl4s9bdwca7zvl6FfUqIr4dGBj1Z8IvGIxYvTTQyeSHhqOAk5CRY9LmhDSiVSJQNFsSKVDBq5qKQcuvq513gk0dmss6w5vYbp3abTwaPcUobZ5yHnvMWaiMpMDJ4IWKepaE/iHrwcvejt3dvix1YURaOSQSNWNpKoNpPNPjnyCY62jszrN6/iE5cmm1n2zqC9e3v6+PSxeDLQSz17E/cyIkANKVUUa1LJoBG7mF1ITmFpjZe6PJZ8jD/j/uSekHuurOGTeBhs7KGt5dcCmBg8kZPpJzmXfc5ix4xIjSCjKEM1ESmKlalk0IiV1SSqyUgiKSUfHPoAH2cf5vQyUoQu8TC0DQF7y81mLlPWVLTprOUqme5J3KMNKfVXQ0oVxZpUMmjEoi7WfFjp9vjtHEs5xr/7/xsXe5eKT+p1cP6o1Za5bOvalgG+Ayxa1npP4h76+PTBy6nprNGsKE2RSgaNWFRSDm3cHfFyNW/J6VJ9KR8f/piOnh2Z2sXIgjMpkVCca/HO4/ImBk8kOjOamMyYOh8rvTCd8FQ1pFRR6oNKBo1YVFJOjfoL1pxeQ2x2LI8OfBQ7GyOTy8smm1lxzePrgq5DICxyd6CGlCpK/VHJoJHS6yVRSblmNxHll+TzZeiXDPAdwLjAccY3SjgETp7QurMFI62ojUsbBrcdzKazm5BS1ulYexL30NqpNb191JBSRbE2qyYDIcQkIUSkECJaCPGckefvFEKEGb72CSH6WTOehvRz1M/8Gfen2dsnZhZQUKIzOxksObGE1IJUnhj0hOk5CYlHwH8g2Fj3M8Ck4EnEZscSmRFZ62Po9DptSKn/CGyE+syiKNZmtf9lQghb4AtgMtALmCmE6FVps7PAGCllX+A14GtrxdOQYjJjeHX/qzy+43HWxawza5/IGnQepxWk8cPxHxjfYTz9ffsb36g4D5IjrNpEVObaoGuxFbZ1GlUUkRZBZlGmaiJSlHpizY9cQ4BoKeUZKWUxsAK4ufwGUsp9UsoMw69/A+2tGE+D+eLYF7jYu3BV26t4cc+L/B7ze7X7RCVryaCrGX0GC0MXUqQrurLsRHnnj4HUW20kUXmtnVoztN1QNsXWvqlIDSlVlPplzRLWAUB8ud8TgKFVbH8fsNHYE0KIB4AHAPz8/Ni5c2etAsrNza31vrUVXxTP1otbmeQ5iQn2E8h0yuSFPS8QeSqSwa6m35h3hxbS2klw5O+9VR4/NiuWVedWMcJtBOeOnuMcxid8Bcb9Smdg77lCSi7srMMVmSe4KJh9uftYsmUJQY5BZu9X9hqtv7CeIIcgjv19zHpB1pOG+HdnTc3teqD5XVOtrkdKaZUvtOUxvy33+2zgMxPbXgOcBLyrO+6gQYNkbe3YscOs7T478plcfnJ5rc9T3kNbH5Ijfhohs4uypZRS5pfky3s23SP7Lu4rN57ZaHK/yR//Jed890+1x5+9ara86serZEp+StUbrpwt5UchNYq9LjILM2X/Jf3lewfeq9F+O3bskGkFabLPoj5ywbEFVoqufpn7766paG7XI2XzuyZj1wMcklW8t1qzmSgBCCz3e3vgfOWNhBB9gW+Bm6WUaVaMxywl+hIWRyzmnQPvEJURVadjHUs+xu7E3dwTcs+llcSc7Zz5fNznDPAdwHO7nzNay0enl0Sn5NK9bdX9BWEpYRzNP8rdve+ufv3hxCNWnV9QmaejJyP8R7D53Gb0Ul+jffcm7kUiuTrgaitFpyhKZdZMBgeBrkKIjkIIB2AGUKH3VAjRAVgDzJZS1u2d10Ki0qMo1BVSKkuZv28+Or2uVseRUvLp0U/xdvJmVo+Ky0G62LuwYPwC+rXpx7N/PcvWc1srPH8uLY/iUj1dfY33F+ilnh1xO3hx74u427gzt/fcqoPJSYKs+HrpLyhvUvAkLuZdJCwlrEb77U7cTWun1vT07mmlyBRFqcxqyUBKWQo8DGxGawJaJaWMEELME0KUldJ8GfAGFgghjgkhDlkrHnMdSzkGwKMDHyU8NZzlp5bX6jj/XPyHgxcPcn/f+68sC4EhIVy7gL5t+vLMrmf489zlYadRhgVtKt8ZFOuKWXN6Dbf8dgv/3fFfikqLuNPnTlztXU0HUpgFu97Rfq6HkUTlXRN4DQ42DjWagKaXevad38dI/5FqSKmi1COr/m+TUm6QUnaTUnaWUr5heGyhlHKh4ed/SSm9pJT9DV/1+25lRGhKKL7OvtwXch+jAkbx6dFPScxNrNExpJR8duQz2rq25bZut5ncztXelQXjF9DbpzdP7XqKHXE7gMsF6roY7gyyi7P5NvxbJv4ykVf2vYKTrRPvXv0u629dT29nExOydCXwz9fw6QA49B30vxPaX1Wj66grNwc3RgWMYkvsFrPvsM4VnyOrKEsNKVWUeqY+elUSlhJGP99+CCF4adhLALy2/7UaDZHclbCLsNQwHuz7IA62VdcVcnNw48trv6SXdy+e2PUEu+J3EZmUQ4fWLmSXpPL+wfeZsHoCnxz5hG5e3fh6wtesvHElkztONl5yQko4+Tt8MRQ2Pg2+veD+HXDLAmiA9QAmdZxESkEKR5KPmLX9iYIT2AgbRviPsHJkiqKUZ82hpU1OakEqibmJzOwxEwB/N38eHfgobx94m/Vn13NjpxurPYZe6vns6GcEugdyc5ebq90ewN3BnYUTFvLAlgd4fOfjOOdMw8Evjsm/HEAimRg8kXtC7qFH6x5VHyj+IGx5EeL/Bp/uMGsVdL0OarhKmiWNaT8GJ1snHt/5OL1a96J76+508+pG99bd6ejZEXsb+wrbnyg4QR+fPrRyatUwAStKC6WSQTmhKaEA9GtzuSrGjO4z2HBmA+8eeJeR/iOrLaW85dwWojKieGv0W1e80VXF3cGdr677in9tvp+T+hXY4sjMHjOY3Ws2/m7+Ve+cfga2/R+cWAuuvnDjxzBgNtg2/MvrYu/Cp+M+ZcPZDUSmR/LTyZ8o1hcDYG9jT+dWnbXk4NWdQPdA4orjuCngpgaOWlFanoZ/t2hEQlNCsbOxqzCKxdbGlvkj5nP777fz3sH3eHP0myb3L9WX8sXRL+js2ZnJwZNrfH4PBw/+N+Ajblv6Da9NuIOZg6u5E8hPp8vpb+GvTWBrD2OegxGPgGPNVkaztuH+wxnuPxzQ/kaxWVrdosiMSKLSo9h3fl+FMh2j249uqFAVpcVSyaCc0ORQerXuhaOtY4XHu3p15b4+9/FV2Ffc0OkGRgYYL5Hwx5k/iM2O5aOxH9V6vd4jsUWUZg2mf0A1dwNSwqIbCUg+CQNnwzXPg3vbWp2zPtnZ2NHFqwtdvLpwAzdcejytII3IjEgOHjuoFr5XlAagOpANSvQlnEg7Qd82fY0+/0DfB+jo2ZFX979Kfkn+lfvrSlgYupBe3r0Y32F8rWK4mFXIR1ujGNXFhx7VTDgj4RAkRxDV7SGY8mmTSARV8Xb2ZoT/CPq5NNvCtYrSqKlkYFA22ax8f0F5DrYOzB8+n/N55/n82OdXPL/m9BoScxN5ZMAjpktIV0FKyYtrj1Oq1/Pm1D7VHyNsBdg5keyrhmAqilJ3KhkYlE02M5UMAAb6DeSO7new7OQywlPCLz1eWFrI12FfM8B3QK2rbG48fpFtJ5N4YkI3OnhfOUmtgtJiOP4L9LgBnV012yqKophBJQODsJQwfJ19aetadXPLowMfxcfZh1f2v0KJvgSAlZErSS5IrvVdQVZ+CS//FkFIgAf3juxY/Q7RW6EgA/rOqPG5FEVRjFHJwCA0JfTSZLOquDu48+LQFzmdcZpFxxeRV5LHd+HfMbzdcK5qW7sZvm9uOElGfjFv39oXO1szXpLQFeDaBjqbWN5SURSlhtRoIq6cbFadazpcw3VB17EwdCFxOXFkFGXwyIBHanXufdGprDwUz7wxnQkJ8Kx+h4IMiNoEg+9rFPMIFEVpHtSdAcYnm1Xnf0P/h6OdI2uj1zI2cCx92vSp8XkLS3T879dwgrxdeOzarubtFLEWdMXQ744an09RFMUUlQwwPtmsOj7OPvxvyP/wcPDg4f4P1+q8H287zbm0fN66tQ9O9mbOSwhbCT7doF3/Wp1TURTFGNXOgDbZrGfrnldMNqvOTZ1vMl0wrhrHE7P4ZvcZ7hgcyIjO1SxMUyYjFuL2w7iXGrTekKIozU+LvzMom2xWkyai8mqTCEp1ep5bE4aXiwPPX1+DBVzCVmvf+95e43MqiqJUpcXfGURlVD3ZzBq+33uW44nZfDFrIJ4uZhazk1KbaBY0Clp1sG6AiqK0OC3+ziA0ueadx3VxLi2PD7dGcW1PP67vU4MSEolHIC1adRwrimIVKhkYVjarbrKZJUgpef7XcOxsbHjtlt41m6BmKD9BL/PWSFAURakJlQzMnGxmCT8fTmBvdBrPTu5BO09n83fUlWjlJ7pPBicz5iIoiqLUUItOBmWTzfr6GK9UakkpOUW8vv4kg4O8uHNIDdv8o7dBfpoqP6EoitW06GRwabKZr/X7C+b/HkFBsY63p/XBxqaGdyGhK8DFG7rUrjS2oihKdVp8MrCzsaOXdy+rnuePsPOsD7vAI+O60MW3mnUKKivIhMiNEDJNW81MURTFClp0MghLCavVZLOaSM4p5KW1x+nb3pN5YzvX/AAn14GuSDURKYpiVS02GZToS4hIjbDqkFIpJc+vOU5esY4Pb++HvTkVSSsLXQneXSBgoOUDVBRFMWixyaA+Jpv9ciSRbSeTeGZi95o3DwFkxsG5PdpdgSo/oSiKFbXYZGDtyWbnMwv4v3URDAluzT3mLFhjTNgq7bsqP6EoipW13GSQEkob5zZWmWwmpeSZn8PQScl7t/XFtqajh7SDaBVKO4wAryCLx6goilJei04G/dpYZ7LZj//EsSc6leev70mQt2vtDnL+KKRGqbsCRVHqRYtMBmWTzazRRHQuLY83159kdFcf7hxah4JyYSvB1gF632Kx2BRFUUxpUcngYp4e0IaUguUnm+n0kqdWh2JnK3h3et/a33XoSiD8Z+g2CZy9LBqjoiiKMS0mGfx8OIH/7S7gxPlsq002+27PGQ7GZvB/U3rXrPZQZTHbIT8V+qm5BYqi1I8Ws57BhJ5+ONnBh1ujKPWr3cpmVYlKyuH9zVFc18uPqQMC6nawsJXg3Bq6TLBMcIqiKNVoMcnA08WeyR3tWXPyPN42x7m9+20WO3aJTs+Tq0Jxc7Ljjal9jDcP5aVCdmL1B9OVwKn1MOAusHOwWIyKoihVaTHJAGBCkD07UhIo1hfRt43lKpUu2BFDeGIWC+4cSBv3SncbhVmw5yP4+0soLTT/oP1mWiw+RVGU6lg1GQghJgGfALbAt1LKtys93wP4ARgIvCClfN+a8TjbCUaF5LEzDXT5llk68nhiFp9tP83N/f25vk+7y0+UFsPhH2DXO4by03dAzynmzSR2agXtB1skPkVRFHNYLRkIIWyBL4AJQAJwUAixTkp5otxm6cB/gVusFUdljm7xiGQPfvgrkxt6yTrNMygq1fHEqmN4uznw6pQQ7UEpteJy2+ZD+hnoeDVMeA38+1skfkVRFGuw5miiIUC0lPKMlLIYWAFUWLNRSpkspTwIlFgxjgoi0sLp6hnC4XOZ7IxKqdOx3t0USVRSLm9P66stbB9/AL6fCKvmaHMEZq2GOetUIlAUpdGzZjNRABBf7vcEYGhtDiSEeAB4AMDPz4+dO3fWKqCL2RdJyE1giucgzjkL5v9yGIY71eruICyllO8OFzG+gx0uMX+SvG0Jvin7KHLwIrbbf7jYdjzyvC2c31WrWM2Vm5tb679HY9Tcrgea3zU1t+uB5ndNtbkeayYDY++wsjYHklJ+DXwNMHjwYDl27NhaBfTphk8BmD5iGgMC2/DU6lCK2vRgUki7ava8FAgU55KWFM/Sv7bxr9Z5PNchHbtDP2gLz4z9H47DH6a7oxvdaxVhze3cuZPa/j0ao+Z2PdD8rqm5XQ80v2uqzfVYMxkkAIHlfm8PnLfi+ap1tujspclmfX0c+HJnNB9siWJCr7ZaMbmSQkg5CUkRkBkPuUmQl6J9z03WvkoL8Aa+A8gHDtvAgNlwzfPgbvmid4qiKPXBmsngINBVCNERSARmALOseL5qxRbFXp5slpPEm32T2b5zO+e/W0hg8RlIPQ1Sd3kHF29w8wPXNhA4FNx8+TvZllUni7hxxADGDe4NHgHg0rrhLkpRFMUCrJYMpJSlQoiHgc1oQ0u/l1JGCCHmGZ5fKIRoCxwCPAC9EOIxoJeUMtvS8ZRcCCW+MIbpRR7wXhfIS2EoMNQeks77oO8yCJseN0LbEPDro5WNrrTmcGh8Jnft2seEXn5cc8NAteCMoijNhlXnGUgpNwAbKj22sNzPF9Gaj6wu6vxBioSkX3EpdJ1oeNMPYVeWL3eviOatrn2YOcT03IPcolL+u+Iovu6OvH1rHYrQKYqiNEItZgZygpc/dtjRb+YacPO/9PjVUtJ/byqf/nmaqQMCcLK3Nbr/y2uPE5+ez8oHh2vDSBVFUZqRFlO1dGKn63mvw3u0c604ckgIwdMTu3Mhq5DlB+KM7rvmSAJrjiby6PhuXBWs+gcURWl+WkwyALATdkabd0Z28WF4J2++2BFNfnFphediU/N4ae1xhgS35uFxXeorVEVRlHrVopJBVZ6a2I3U3GIW7Yu99FhxqZ7/rjiKna0NH83oX7u1jBVFUZoAlQwMBgW15prubfhq1xmyCrTqGB9sjSQsIYt3pvUhoFUdFqtRFEVp5FQyKOfJ67qTVVDCd3vO8ldUCl/tOsOdQzuYP0NZURSliWoxo4nMERLgyeSQtny3+ww//WNHNz83XrrRsktjKoqiNEbqzqCSJyZ0I79ER3ZhCZ/OHGByqKmiKEpzou4MKunq585bU/vQxt2RHm09GjocRVGUeqGSgREzqpiJrCiK0hypZiJFURRFJQNFURRFJQNFURQFlQwURVEUVDJQFEVRUMlAURRFQSUDRVEUBZUMFEVRFEBIKRs6hhoRQqQA52q5uw+QasFwGoPmdk3N7Xqg+V1Tc7seaH7XZOx6gqSUbUzt0OSSQV0IIQ5JKQc3dByW1NyuqbldDzS/a2pu1wPN75pqcz2qmUhRFEVRyUBRFEVpecng64YOwAqa2zU1t+uB5ndNze16oPldU42vp0X1GSiKoijGtbQ7A0VRFMUIlQwURVGUlpMMhBCThBCRQohoIcRzDR2PJQghYoUQ4UKIY0KIQw0dT00JIb4XQiQLIY6Xe6y1EGKrEOK04btXQ8ZYUyauab4QItHwOh0TQlzfkDHWhBAiUAixQwhxUggRIYR41PB4k3ydqriepvwaOQkhDgghQg3X9H+Gx2v0GrWIPgMhhC0QBUwAEoCDwEwp5YkGDayOhBCxwGApZZOcLCOEuBrIBZZIKUMMj70LpEsp3zYkbS8p5bMNGWdNmLim+UCulPL9hoytNoQQ7YB2UsojQgh34DBwCzCXJvg6VXE9t9N0XyMBuEopc4UQ9sAe4FHgVmrwGrWUO4MhQLSU8oyUshhYAdzcwDG1eFLKv4D0Sg/fDCw2/LwY7T9qk2HimposKeUFKeURw885wEkggCb6OlVxPU2W1OQafrU3fElq+Bq1lGQQAMSX+z2BJv4PwEACW4QQh4UQDzR0MBbiJ6W8ANp/XMC3geOxlIeFEGGGZqQm0aRSmRAiGBgA/EMzeJ0qXQ804ddICGErhDgGJANbpZQ1fo1aSjIQRh5rDu1jI6WUA4HJwH8MTRRK4/Ml0BnoD1wAPmjQaGpBCOEG/AI8JqXMbuh46srI9TTp10hKqZNS9gfaA0OEECE1PUZLSQYJQGC539sD5xsoFouRUp43fE8GfkVrDmvqkgztumXtu8kNHE+dSSmTDP9Z9cA3NLHXydAO/QuwTEq5xvBwk32djF1PU3+NykgpM4GdwCRq+Bq1lGRwEOgqhOgohHAAZgDrGjimOhFCuBo6wBBCuALXAcer3qtJWAfcbfj5buC3BozFIsr+QxpMpQm9TobOye+Ak1LKD8s91SRfJ1PX08RfozZCiFaGn52Ba4FT1PA1ahGjiQAMQ8U+BmyB76WUbzRsRHUjhOiEdjcAYAf81NSuSQixHBiLVm43CXgFWAusAjoAccBtUsom0yFr4prGojU/SCAWeLCsLbexE0KMAnYD4YDe8PDzaO3sTe51quJ6ZtJ0X6O+aB3Etmgf8FdJKV8VQnhTg9eoxSQDRVEUxbSW0kykKIqiVEElA0VRFEUlA0VRFEUlA0VRFAWVDBRFURRUMlCUS4QQunJVK49ZsrqtECK4fCVTRWls7Bo6AEVpRAoMU/oVpcVRdwaKUg3DuhHvGGrGHxBCdDE8HiSE+NNQ3OxPIUQHw+N+QohfDfXlQ4UQIwyHshVCfGOoOb/FMFsUIcR/hRAnDMdZ0UCXqbRwKhkoymXOlZqJ7ij3XLaUcgjwOdpMdgw/L5FS9gWWAZ8aHv8U2CWl7AcMBCIMj3cFvpBS9gYygWmGx58DBhiOM886l6YoVVMzkBXFQAiRK6V0M/J4LDBOSnnGUOTsopTSWwiRirZQSonh8QtSSh8hRArQXkpZVO4YwWilhbsafn8WsJdSvi6E2IS2IM5aYG252vSKUm/UnYGimEea+NnUNsYUlftZx+U+uxuAL4BBwGEhhOrLU+qdSgaKYp47yn3fb/h5H1oFXIA70ZYbBPgTeAguLTriYeqgQggbIFBKuQN4BmgFXHF3oijWpj6BKMplzobVospsklKWDS91FEL8g/YBaqbhsf8C3wshngZSgHsMjz8KfC2EuA/tDuAhtAVTjLEFfhRCeKItwvSRoSa9otQr1WegKNUw9BkMllKmNnQsimItqplIURRFUXcGiqIoirozUBRFUVDJQFEURUElA0VRFAWVDBRFURRUMlAURVGA/wdZS6TQVfT6IAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.validationAccuracy(historyAdam3, \"images_point_two\", \"validation_acc_3\")\n",
    "pltu.validationAccuracy(historyAdam5, \"images_point_two\", \"validation_acc_5\")\n",
    "pltu.validationAccuracy(historyAdam7, \"images_point_two\", \"validation_acc_7\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plottingAccuracy(historyAdam3, \"images_point_two\", \"accuracy_3\")\n",
    "pltu.plottingAccuracy(historyAdam5, \"images_point_two\", \"accuracy_5\")\n",
    "pltu.plottingAccuracy(historyAdam7, \"images_point_two\", \"accuracy_7\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltu.plottingLoss(historyAdam3, \"images_point_two\", \"loss_1\")\n",
    "pltu.plottingLoss(historyAdam5, \"images_point_two\", \"loss_3\")\n",
    "pltu.plottingLoss(historyAdam7, \"images_point_two\", \"loss_7\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ensemle Of Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The idea is to combine a CNN and the use of the majority vote in the average of the prediction probabilities."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ensemble a new network with 10 iterations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 59ms/step - loss: 2.6765 - accuracy: 0.1176 - val_loss: 3.5183 - val_accuracy: 0.0533\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 2.2394 - accuracy: 0.2868 - val_loss: 4.5202 - val_accuracy: 0.0533\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 55ms/step - loss: 1.9918 - accuracy: 0.3678 - val_loss: 4.9403 - val_accuracy: 0.0533\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.7385 - accuracy: 0.4406 - val_loss: 4.3982 - val_accuracy: 0.0889\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.4607 - accuracy: 0.5621 - val_loss: 4.4220 - val_accuracy: 0.0933\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.2903 - accuracy: 0.5821 - val_loss: 3.4863 - val_accuracy: 0.1578\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.1279 - accuracy: 0.6423 - val_loss: 2.4163 - val_accuracy: 0.3022\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.9865 - accuracy: 0.6966 - val_loss: 2.1112 - val_accuracy: 0.3378\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.8801 - accuracy: 0.7328 - val_loss: 2.3036 - val_accuracy: 0.2933\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.8103 - accuracy: 0.7632 - val_loss: 1.8729 - val_accuracy: 0.4311\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.7358 - accuracy: 0.7879 - val_loss: 1.8204 - val_accuracy: 0.4489\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.6538 - accuracy: 0.8220 - val_loss: 1.5834 - val_accuracy: 0.5133\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.5826 - accuracy: 0.8342 - val_loss: 1.8761 - val_accuracy: 0.4400\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.5468 - accuracy: 0.8427 - val_loss: 1.7047 - val_accuracy: 0.4911\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.4890 - accuracy: 0.8666 - val_loss: 2.0481 - val_accuracy: 0.4289\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.4326 - accuracy: 0.8825 - val_loss: 1.9488 - val_accuracy: 0.4644\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.3893 - accuracy: 0.8998 - val_loss: 1.7075 - val_accuracy: 0.5133\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.3542 - accuracy: 0.9133 - val_loss: 1.8714 - val_accuracy: 0.4911\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.3288 - accuracy: 0.9104 - val_loss: 1.7674 - val_accuracy: 0.4844\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.3253 - accuracy: 0.9149 - val_loss: 2.1833 - val_accuracy: 0.4289\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.2755 - accuracy: 0.9297 - val_loss: 2.3075 - val_accuracy: 0.4667\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.2715 - accuracy: 0.9235 - val_loss: 1.9810 - val_accuracy: 0.5089\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 57ms/step - loss: 2.7225 - accuracy: 0.1060 - val_loss: 2.7060 - val_accuracy: 0.0756\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 2.5886 - accuracy: 0.1174 - val_loss: 2.8252 - val_accuracy: 0.0756\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 2.4965 - accuracy: 0.1312 - val_loss: 2.6922 - val_accuracy: 0.0778\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 2.4440 - accuracy: 0.1478 - val_loss: 2.7264 - val_accuracy: 0.0733\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 2.3351 - accuracy: 0.2175 - val_loss: 2.7544 - val_accuracy: 0.0600\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 2.2464 - accuracy: 0.2458 - val_loss: 2.5187 - val_accuracy: 0.1333\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - ETA: 0s - loss: 2.1234 - accuracy: 0.28 - 4s 49ms/step - loss: 2.1233 - accuracy: 0.2805 - val_loss: 2.2744 - val_accuracy: 0.2200\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 2.0248 - accuracy: 0.3221 - val_loss: 2.2706 - val_accuracy: 0.2156\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.9562 - accuracy: 0.3329 - val_loss: 2.1167 - val_accuracy: 0.2800\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.8431 - accuracy: 0.4007 - val_loss: 1.9565 - val_accuracy: 0.3578\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.7606 - accuracy: 0.4138 - val_loss: 1.8897 - val_accuracy: 0.3889\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.6637 - accuracy: 0.4447 - val_loss: 1.9365 - val_accuracy: 0.3556\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.5789 - accuracy: 0.4546 - val_loss: 1.8259 - val_accuracy: 0.3933\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.4914 - accuracy: 0.5009 - val_loss: 1.7547 - val_accuracy: 0.4311\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.4020 - accuracy: 0.5217 - val_loss: 1.7488 - val_accuracy: 0.4311\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.3599 - accuracy: 0.5604 - val_loss: 1.8457 - val_accuracy: 0.3956\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.3006 - accuracy: 0.5529 - val_loss: 1.7807 - val_accuracy: 0.4444\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.2538 - accuracy: 0.5745 - val_loss: 1.8302 - val_accuracy: 0.4022\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.2208 - accuracy: 0.5793 - val_loss: 1.6478 - val_accuracy: 0.4356\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.1695 - accuracy: 0.5992 - val_loss: 1.7961 - val_accuracy: 0.4378\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.0770 - accuracy: 0.6577 - val_loss: 1.7257 - val_accuracy: 0.4511\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.0738 - accuracy: 0.6219 - val_loss: 1.9299 - val_accuracy: 0.4111\n",
      "Epoch 23/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.0550 - accuracy: 0.6451 - val_loss: 1.8501 - val_accuracy: 0.4489\n",
      "Epoch 24/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.0242 - accuracy: 0.6366 - val_loss: 2.0989 - val_accuracy: 0.3756\n",
      "Epoch 25/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.9983 - accuracy: 0.6628 - val_loss: 1.7688 - val_accuracy: 0.4600\n",
      "Epoch 26/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.9545 - accuracy: 0.6880 - val_loss: 1.7041 - val_accuracy: 0.4756\n",
      "Epoch 27/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.9137 - accuracy: 0.6970 - val_loss: 1.7624 - val_accuracy: 0.4667\n",
      "Epoch 28/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.8886 - accuracy: 0.7076 - val_loss: 1.7957 - val_accuracy: 0.4600\n",
      "Epoch 29/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.8890 - accuracy: 0.6950 - val_loss: 2.1905 - val_accuracy: 0.3867\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 50ms/step - loss: 2.7318 - accuracy: 0.0991 - val_loss: 3.1067 - val_accuracy: 0.0844\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 2.3708 - accuracy: 0.2443 - val_loss: 3.6623 - val_accuracy: 0.0844\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 2.1788 - accuracy: 0.3031 - val_loss: 3.8976 - val_accuracy: 0.0844\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.9181 - accuracy: 0.4006 - val_loss: 4.1132 - val_accuracy: 0.1022\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.7055 - accuracy: 0.4610 - val_loss: 4.0113 - val_accuracy: 0.1111\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.5701 - accuracy: 0.5019 - val_loss: 2.1129 - val_accuracy: 0.2711\n",
      "Epoch 7/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80/80 [==============================] - 4s 47ms/step - loss: 1.4486 - accuracy: 0.5198 - val_loss: 2.1746 - val_accuracy: 0.2978\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.3043 - accuracy: 0.5770 - val_loss: 1.7057 - val_accuracy: 0.4111\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.1621 - accuracy: 0.6291 - val_loss: 1.4836 - val_accuracy: 0.4756\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.1307 - accuracy: 0.6437 - val_loss: 1.5533 - val_accuracy: 0.4533\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.0198 - accuracy: 0.6840 - val_loss: 1.5519 - val_accuracy: 0.4711\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.9744 - accuracy: 0.6760 - val_loss: 1.4980 - val_accuracy: 0.4511\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.8718 - accuracy: 0.7264 - val_loss: 1.6930 - val_accuracy: 0.4311\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.8508 - accuracy: 0.7304 - val_loss: 1.4950 - val_accuracy: 0.4800\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.7461 - accuracy: 0.7652 - val_loss: 1.6915 - val_accuracy: 0.4467\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.7317 - accuracy: 0.7711 - val_loss: 1.5865 - val_accuracy: 0.4933\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.7031 - accuracy: 0.7802 - val_loss: 1.6389 - val_accuracy: 0.4800\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.6186 - accuracy: 0.8131 - val_loss: 1.5882 - val_accuracy: 0.4644\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.6234 - accuracy: 0.8028 - val_loss: 1.6366 - val_accuracy: 0.4978\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 49ms/step - loss: 2.6915 - accuracy: 0.1476 - val_loss: 2.6331 - val_accuracy: 0.1289\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 2.4302 - accuracy: 0.2217 - val_loss: 2.9343 - val_accuracy: 0.1022\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 2.1480 - accuracy: 0.3368 - val_loss: 4.2356 - val_accuracy: 0.0844\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.9165 - accuracy: 0.4077 - val_loss: 5.2472 - val_accuracy: 0.0844\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.7132 - accuracy: 0.4713 - val_loss: 4.4752 - val_accuracy: 0.1089\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 1.4964 - accuracy: 0.5444 - val_loss: 4.1182 - val_accuracy: 0.1289\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 1.4011 - accuracy: 0.5594 - val_loss: 2.7714 - val_accuracy: 0.2333\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.2047 - accuracy: 0.6198 - val_loss: 1.8605 - val_accuracy: 0.3956\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.0995 - accuracy: 0.6632 - val_loss: 2.6868 - val_accuracy: 0.2533\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.0386 - accuracy: 0.6721 - val_loss: 1.6904 - val_accuracy: 0.4667\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.9035 - accuracy: 0.7314 - val_loss: 1.7269 - val_accuracy: 0.4800\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.7890 - accuracy: 0.7762 - val_loss: 1.4877 - val_accuracy: 0.5133\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.7520 - accuracy: 0.7871 - val_loss: 1.4805 - val_accuracy: 0.5022\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.6601 - accuracy: 0.8103 - val_loss: 1.5268 - val_accuracy: 0.5022\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.5987 - accuracy: 0.8272 - val_loss: 1.5781 - val_accuracy: 0.5044\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.5542 - accuracy: 0.8435 - val_loss: 1.9991 - val_accuracy: 0.4200\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.4889 - accuracy: 0.8613 - val_loss: 1.5934 - val_accuracy: 0.4956\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.4377 - accuracy: 0.8791 - val_loss: 1.5800 - val_accuracy: 0.5133\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.3996 - accuracy: 0.8950 - val_loss: 1.6504 - val_accuracy: 0.5200\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.3591 - accuracy: 0.9043 - val_loss: 1.6850 - val_accuracy: 0.5222\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.3407 - accuracy: 0.9045 - val_loss: 1.8006 - val_accuracy: 0.5022\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.3542 - accuracy: 0.8945 - val_loss: 1.6729 - val_accuracy: 0.5178\n",
      "Epoch 23/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.2876 - accuracy: 0.9256 - val_loss: 1.9246 - val_accuracy: 0.4911\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 50ms/step - loss: 2.6016 - accuracy: 0.1649 - val_loss: 3.8018 - val_accuracy: 0.0644\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 2.0538 - accuracy: 0.3663 - val_loss: 6.7210 - val_accuracy: 0.0644\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.7598 - accuracy: 0.4514 - val_loss: 7.5337 - val_accuracy: 0.0578\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.5532 - accuracy: 0.5002 - val_loss: 5.7495 - val_accuracy: 0.0778\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.3614 - accuracy: 0.5765 - val_loss: 5.1386 - val_accuracy: 0.0844\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.2047 - accuracy: 0.6427 - val_loss: 3.9967 - val_accuracy: 0.1489\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 1.1033 - accuracy: 0.6664 - val_loss: 2.0569 - val_accuracy: 0.3467\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.9564 - accuracy: 0.7264 - val_loss: 1.9689 - val_accuracy: 0.3711\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.8468 - accuracy: 0.7482 - val_loss: 1.8822 - val_accuracy: 0.4156\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.7310 - accuracy: 0.7895 - val_loss: 1.9598 - val_accuracy: 0.4000\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.6341 - accuracy: 0.8082 - val_loss: 1.7930 - val_accuracy: 0.4556\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 5s 61ms/step - loss: 0.5625 - accuracy: 0.8467 - val_loss: 1.5523 - val_accuracy: 0.5022\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 5s 58ms/step - loss: 0.4528 - accuracy: 0.8968 - val_loss: 1.7537 - val_accuracy: 0.4356\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.4404 - accuracy: 0.8801 - val_loss: 1.6087 - val_accuracy: 0.4867\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 0.3810 - accuracy: 0.8958 - val_loss: 1.5575 - val_accuracy: 0.5222\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 0.3394 - accuracy: 0.9190 - val_loss: 1.5747 - val_accuracy: 0.5511\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 5s 57ms/step - loss: 0.3460 - accuracy: 0.8960 - val_loss: 1.6467 - val_accuracy: 0.5156\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 0.2650 - accuracy: 0.9410 - val_loss: 1.6198 - val_accuracy: 0.5356\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.2413 - accuracy: 0.9449 - val_loss: 1.6863 - val_accuracy: 0.5178\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.2346 - accuracy: 0.9482 - val_loss: 1.6408 - val_accuracy: 0.5178\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 5s 56ms/step - loss: 0.2076 - accuracy: 0.9522 - val_loss: 1.7172 - val_accuracy: 0.5178\n",
      "Epoch 22/100\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "80/80 [==============================] - 4s 48ms/step - loss: 0.1932 - accuracy: 0.9580 - val_loss: 1.7534 - val_accuracy: 0.5400\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 50ms/step - loss: 2.6669 - accuracy: 0.1160 - val_loss: 3.0019 - val_accuracy: 0.0533\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 2.3853 - accuracy: 0.2526 - val_loss: 3.5871 - val_accuracy: 0.0533\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 2.2642 - accuracy: 0.2787 - val_loss: 4.1516 - val_accuracy: 0.0533\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 2.1306 - accuracy: 0.3161 - val_loss: 4.4457 - val_accuracy: 0.0800\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 2.0000 - accuracy: 0.3322 - val_loss: 4.3823 - val_accuracy: 0.0889\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.8951 - accuracy: 0.3885 - val_loss: 4.0149 - val_accuracy: 0.0889\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.8229 - accuracy: 0.3844 - val_loss: 3.0589 - val_accuracy: 0.1244\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.7263 - accuracy: 0.4218 - val_loss: 2.4138 - val_accuracy: 0.1756\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.6638 - accuracy: 0.4424 - val_loss: 1.9958 - val_accuracy: 0.2911\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 55ms/step - loss: 1.5679 - accuracy: 0.4737 - val_loss: 2.1513 - val_accuracy: 0.2556\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.5343 - accuracy: 0.4754 - val_loss: 2.0847 - val_accuracy: 0.2756\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.4870 - accuracy: 0.4837 - val_loss: 1.9839 - val_accuracy: 0.3067\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.4331 - accuracy: 0.5022 - val_loss: 1.8970 - val_accuracy: 0.3311\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.3617 - accuracy: 0.5323 - val_loss: 1.8678 - val_accuracy: 0.3356\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.3334 - accuracy: 0.5589 - val_loss: 1.8440 - val_accuracy: 0.3422\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.2641 - accuracy: 0.5730 - val_loss: 1.8823 - val_accuracy: 0.3533\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.2230 - accuracy: 0.5963 - val_loss: 1.9663 - val_accuracy: 0.3667\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.1876 - accuracy: 0.5926 - val_loss: 1.7709 - val_accuracy: 0.3933\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.1585 - accuracy: 0.5945 - val_loss: 1.8542 - val_accuracy: 0.3867\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.1333 - accuracy: 0.6142 - val_loss: 2.0313 - val_accuracy: 0.3400\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.0866 - accuracy: 0.6165 - val_loss: 1.8150 - val_accuracy: 0.3933\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.0936 - accuracy: 0.6114 - val_loss: 1.8207 - val_accuracy: 0.4089\n",
      "Epoch 23/100\n",
      "80/80 [==============================] - 5s 59ms/step - loss: 1.0376 - accuracy: 0.6532 - val_loss: 1.8259 - val_accuracy: 0.4289\n",
      "Epoch 24/100\n",
      "80/80 [==============================] - 4s 55ms/step - loss: 0.9937 - accuracy: 0.6523 - val_loss: 1.7765 - val_accuracy: 0.4133\n",
      "Epoch 25/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.0060 - accuracy: 0.6485 - val_loss: 1.9331 - val_accuracy: 0.3667\n",
      "Epoch 26/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.9535 - accuracy: 0.6720 - val_loss: 1.7969 - val_accuracy: 0.4489\n",
      "Epoch 27/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 0.9285 - accuracy: 0.7012 - val_loss: 1.9480 - val_accuracy: 0.3800\n",
      "Epoch 28/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.9404 - accuracy: 0.6832 - val_loss: 1.7738 - val_accuracy: 0.4489\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 54ms/step - loss: 2.6257 - accuracy: 0.1629 - val_loss: 3.5223 - val_accuracy: 0.0533\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 2.1030 - accuracy: 0.3451 - val_loss: 4.0691 - val_accuracy: 0.0756\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.9233 - accuracy: 0.3924 - val_loss: 4.3252 - val_accuracy: 0.0711\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.7483 - accuracy: 0.4411 - val_loss: 4.3710 - val_accuracy: 0.1111\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 55ms/step - loss: 1.5542 - accuracy: 0.5103 - val_loss: 5.7905 - val_accuracy: 0.0600\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 1.4441 - accuracy: 0.5539 - val_loss: 4.0982 - val_accuracy: 0.1267\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 55ms/step - loss: 1.2168 - accuracy: 0.6307 - val_loss: 2.8533 - val_accuracy: 0.1867\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.1562 - accuracy: 0.6548 - val_loss: 2.4100 - val_accuracy: 0.2756\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 1.0608 - accuracy: 0.6669 - val_loss: 1.6585 - val_accuracy: 0.4578\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.9034 - accuracy: 0.7284 - val_loss: 1.8696 - val_accuracy: 0.4378\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.8480 - accuracy: 0.7504 - val_loss: 1.7687 - val_accuracy: 0.4733\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.7331 - accuracy: 0.7755 - val_loss: 1.5092 - val_accuracy: 0.5289\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.6877 - accuracy: 0.7946 - val_loss: 1.5553 - val_accuracy: 0.5000\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 54ms/step - loss: 0.5967 - accuracy: 0.8183 - val_loss: 1.9798 - val_accuracy: 0.4244\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.5378 - accuracy: 0.8489 - val_loss: 1.7398 - val_accuracy: 0.4578\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.5446 - accuracy: 0.8435 - val_loss: 1.8267 - val_accuracy: 0.4644\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.4925 - accuracy: 0.8610 - val_loss: 1.8082 - val_accuracy: 0.4822\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.4555 - accuracy: 0.8710 - val_loss: 1.8205 - val_accuracy: 0.4578\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.4029 - accuracy: 0.8856 - val_loss: 1.6677 - val_accuracy: 0.5267\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 0.3520 - accuracy: 0.9137 - val_loss: 1.6695 - val_accuracy: 0.5067\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.3426 - accuracy: 0.9060 - val_loss: 2.0040 - val_accuracy: 0.4622\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 55ms/step - loss: 0.3446 - accuracy: 0.9014 - val_loss: 1.7764 - val_accuracy: 0.5111\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 57ms/step - loss: 2.5980 - accuracy: 0.1574 - val_loss: 2.9975 - val_accuracy: 0.0844\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 2.1076 - accuracy: 0.3209 - val_loss: 3.5447 - val_accuracy: 0.1067\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 5s 58ms/step - loss: 1.8129 - accuracy: 0.4472 - val_loss: 4.6800 - val_accuracy: 0.1200\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.5498 - accuracy: 0.5194 - val_loss: 5.6442 - val_accuracy: 0.1311\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 53ms/step - loss: 1.4015 - accuracy: 0.5602 - val_loss: 4.2360 - val_accuracy: 0.1133\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 1.1985 - accuracy: 0.6276 - val_loss: 2.8952 - val_accuracy: 0.2556\n",
      "Epoch 7/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80/80 [==============================] - 4s 51ms/step - loss: 1.0456 - accuracy: 0.6835 - val_loss: 4.0477 - val_accuracy: 0.1867\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.9390 - accuracy: 0.7156 - val_loss: 2.1519 - val_accuracy: 0.3689\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.8513 - accuracy: 0.7334 - val_loss: 1.3940 - val_accuracy: 0.5356\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.7744 - accuracy: 0.7575 - val_loss: 1.5612 - val_accuracy: 0.5356\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.7093 - accuracy: 0.7824 - val_loss: 1.3115 - val_accuracy: 0.5933\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.6088 - accuracy: 0.8191 - val_loss: 1.2760 - val_accuracy: 0.6022\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.5436 - accuracy: 0.8373 - val_loss: 1.6039 - val_accuracy: 0.5067\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.4801 - accuracy: 0.8649 - val_loss: 1.3301 - val_accuracy: 0.5822\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.4240 - accuracy: 0.8860 - val_loss: 1.3552 - val_accuracy: 0.5578\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.3925 - accuracy: 0.8899 - val_loss: 1.5767 - val_accuracy: 0.5311\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.3930 - accuracy: 0.8882 - val_loss: 1.4337 - val_accuracy: 0.5978\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 0.3308 - accuracy: 0.9171 - val_loss: 1.3767 - val_accuracy: 0.5889\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.3094 - accuracy: 0.9193 - val_loss: 1.4100 - val_accuracy: 0.5689\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.2653 - accuracy: 0.9350 - val_loss: 1.4184 - val_accuracy: 0.5867\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.2599 - accuracy: 0.9308 - val_loss: 1.4400 - val_accuracy: 0.5933\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 0.2515 - accuracy: 0.9368 - val_loss: 1.3618 - val_accuracy: 0.5844\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 51ms/step - loss: 2.6343 - accuracy: 0.1421 - val_loss: 2.7530 - val_accuracy: 0.0600\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 52ms/step - loss: 2.2055 - accuracy: 0.3020 - val_loss: 3.2540 - val_accuracy: 0.0644\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.9499 - accuracy: 0.3833 - val_loss: 4.5600 - val_accuracy: 0.0644\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.7098 - accuracy: 0.4449 - val_loss: 5.8202 - val_accuracy: 0.0689\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 1.5069 - accuracy: 0.5269 - val_loss: 4.5889 - val_accuracy: 0.1222\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 51ms/step - loss: 1.3741 - accuracy: 0.5581 - val_loss: 2.7874 - val_accuracy: 0.2089\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.2189 - accuracy: 0.6089 - val_loss: 2.9456 - val_accuracy: 0.2111\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 1.1339 - accuracy: 0.6407 - val_loss: 1.6630 - val_accuracy: 0.4156\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.9987 - accuracy: 0.6949 - val_loss: 1.9817 - val_accuracy: 0.3578\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.9149 - accuracy: 0.7193 - val_loss: 1.5059 - val_accuracy: 0.4933\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.8063 - accuracy: 0.7618 - val_loss: 1.4720 - val_accuracy: 0.5000\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 45ms/step - loss: 0.7931 - accuracy: 0.7410 - val_loss: 1.3023 - val_accuracy: 0.6000\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.7231 - accuracy: 0.7674 - val_loss: 1.6015 - val_accuracy: 0.4711\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.6483 - accuracy: 0.7860 - val_loss: 1.3632 - val_accuracy: 0.5733\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.6040 - accuracy: 0.8217 - val_loss: 1.5932 - val_accuracy: 0.5111\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.5478 - accuracy: 0.8405 - val_loss: 1.5004 - val_accuracy: 0.5267\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.4997 - accuracy: 0.8557 - val_loss: 1.4505 - val_accuracy: 0.5667\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.4480 - accuracy: 0.8690 - val_loss: 1.3583 - val_accuracy: 0.5756\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.4085 - accuracy: 0.8925 - val_loss: 1.5550 - val_accuracy: 0.5556\n",
      "Epoch 20/100\n",
      "80/80 [==============================] - 4s 46ms/step - loss: 0.4085 - accuracy: 0.8930 - val_loss: 1.4709 - val_accuracy: 0.5578\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 47ms/step - loss: 0.3712 - accuracy: 0.8998 - val_loss: 1.5244 - val_accuracy: 0.5178\n",
      "Epoch 22/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.3489 - accuracy: 0.9009 - val_loss: 1.4738 - val_accuracy: 0.5644\n",
      "Epoch 1/100\n",
      "80/80 [==============================] - 5s 52ms/step - loss: 2.7100 - accuracy: 0.1344 - val_loss: 2.8900 - val_accuracy: 0.0644\n",
      "Epoch 2/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 2.2985 - accuracy: 0.2970 - val_loss: 3.2244 - val_accuracy: 0.1044\n",
      "Epoch 3/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.9821 - accuracy: 0.3760 - val_loss: 5.1785 - val_accuracy: 0.0867\n",
      "Epoch 4/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.7194 - accuracy: 0.4631 - val_loss: 5.4793 - val_accuracy: 0.1111\n",
      "Epoch 5/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 1.4118 - accuracy: 0.5913 - val_loss: 6.1707 - val_accuracy: 0.1089\n",
      "Epoch 6/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 1.2247 - accuracy: 0.6378 - val_loss: 2.8342 - val_accuracy: 0.2178\n",
      "Epoch 7/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 1.0473 - accuracy: 0.7035 - val_loss: 2.0520 - val_accuracy: 0.3978\n",
      "Epoch 8/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.8665 - accuracy: 0.7518 - val_loss: 1.8101 - val_accuracy: 0.4244\n",
      "Epoch 9/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.7327 - accuracy: 0.7907 - val_loss: 1.8044 - val_accuracy: 0.4800\n",
      "Epoch 10/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.6411 - accuracy: 0.8245 - val_loss: 2.0114 - val_accuracy: 0.4178\n",
      "Epoch 11/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.5398 - accuracy: 0.8631 - val_loss: 1.2294 - val_accuracy: 0.5822\n",
      "Epoch 12/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.4791 - accuracy: 0.8742 - val_loss: 1.2428 - val_accuracy: 0.6044\n",
      "Epoch 13/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.4347 - accuracy: 0.8875 - val_loss: 1.2388 - val_accuracy: 0.6289\n",
      "Epoch 14/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.3498 - accuracy: 0.9107 - val_loss: 1.4284 - val_accuracy: 0.5400\n",
      "Epoch 15/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.3039 - accuracy: 0.9320 - val_loss: 1.3640 - val_accuracy: 0.5778\n",
      "Epoch 16/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.2693 - accuracy: 0.9431 - val_loss: 1.6987 - val_accuracy: 0.5133\n",
      "Epoch 17/100\n",
      "80/80 [==============================] - 4s 50ms/step - loss: 0.2250 - accuracy: 0.9573 - val_loss: 1.3060 - val_accuracy: 0.5956\n",
      "Epoch 18/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.2291 - accuracy: 0.9473 - val_loss: 1.5955 - val_accuracy: 0.5444\n",
      "Epoch 19/100\n",
      "80/80 [==============================] - 4s 48ms/step - loss: 0.2013 - accuracy: 0.9548 - val_loss: 1.5220 - val_accuracy: 0.5800\n",
      "Epoch 20/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80/80 [==============================] - 4s 48ms/step - loss: 0.1828 - accuracy: 0.9534 - val_loss: 1.4449 - val_accuracy: 0.5800\n",
      "Epoch 21/100\n",
      "80/80 [==============================] - 4s 49ms/step - loss: 0.1649 - accuracy: 0.9650 - val_loss: 1.3879 - val_accuracy: 0.6267\n"
     ]
    }
   ],
   "source": [
    "earlyStopping = EarlyStopping(min_delta=0.0, patience = 10)\n",
    "prediction = np.zeros((xTest.shape[0],15))\n",
    "predictionVoting = []\n",
    "loss = []\n",
    "validationLoss = []\n",
    "validationAccuracy = []\n",
    "accuracy = []\n",
    "\n",
    "for i in range(10):\n",
    "    network = Sequential([\n",
    "        Conv2D(filters=8,kernel_size=3,strides=1,padding = 'valid',activation='relu',input_shape=(64,64,1)),\n",
    "        BatchNormalization(axis = 1),\n",
    "        MaxPooling2D(pool_size=2,strides=2),\n",
    "        Dropout(0.2),\n",
    "        Conv2D(filters=16,kernel_size=3,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "        BatchNormalization(axis = 1),\n",
    "        MaxPooling2D(pool_size=2,strides=2),\n",
    "        Dropout(0.2),\n",
    "        Conv2D(filters=32,kernel_size=3,strides=1,padding='valid',activation='relu',input_shape=(64,64,1)),\n",
    "        Flatten(),\n",
    "        Dense(numberOfClasses,activation='relu',kernel_initializer=norm,bias_initializer='zeros'),\n",
    "        BatchNormalization(axis = 1),\n",
    "        Dense(numberOfClasses,activation='softmax')\n",
    "    ])\n",
    "    network.compile(loss='categorical_crossentropy',optimizer=adam,metrics = ['accuracy'])\n",
    "    historyNetwork=network.fit(xTrain, yTrain, \n",
    "                      batch_size=32,epochs=100,\n",
    "                      validation_data=(xValidation, yValidation),\n",
    "                      shuffle=True,callbacks=[earlyStopping])\n",
    "    preditcion = prediction + network.predict(xTest)\n",
    "    predictionVoting.append(dsu.predictClass(network.predict(xTest)))\n",
    "    loss.append(historyNetwork.history['loss'])\n",
    "    validationLoss.append(historyNetwork.history['val_loss'])\n",
    "    validationAccuracy.append(historyNetwork.history['val_accuracy'])\n",
    "    accuracy.append(historyNetwork.history['accuracy'])\n",
    "\n",
    "prediction = prediction/10\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot of some graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Validation Accuracy\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"Accuracy\")\n",
    "for p in validationAccuracy:\n",
    "    plt.plot(p,linewidth=0.5)\n",
    "\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Accuracy\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"Accuracy\")\n",
    "for p in accuracy:\n",
    "    plt.plot(p,linewidth=0.5)\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Validation Loss\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"Validation Loss\")\n",
    "for p in validationLoss:\n",
    "    plt.plot(p,linewidth=0.5)\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Loss\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"Accuracy\")\n",
    "for p in loss:\n",
    "    plt.plot(p,linewidth=0.5)\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}