CIFAR100_with_Conv2D_subclasses.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Links:\n",
    "\n",
    "# https://keras.io/api/datasets/cifar100/\n",
    "# https://www.cs.toronto.edu/~kriz/cifar.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2I9gomLPxbKi",
    "outputId": "9654a4e6-d8e1-422f-c902-20282aebc05b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.15.0\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fckmSnRSAjlt",
    "outputId": "c9e74282-e5a8-473f-dd8c-03b317243147"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz\n",
      "169001437/169001437 [==============================] - 2s 0us/step\n"
     ]
    }
   ],
   "source": [
    "# Classes\n",
    "\n",
    "cifar100 = tf.keras.datasets.cifar100\n",
    "\n",
    "(train_images, train_labels), (test_images, test_labels) = cifar100.load_data(label_mode=\"fine\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "M8l2zoo6Aqah"
   },
   "outputs": [],
   "source": [
    "class_names = ['apple', 'aquarium_fish', 'baby', 'bear', 'beaver', 'bed', 'bee', 'beetle',\n",
    "               'bicycle', 'bottle', 'bowl', 'boy', 'bridge', 'bus', 'butterfly', 'camel',\n",
    "               'can', 'castle', 'caterpillar', 'cattle', 'chair', 'chimpanzee', 'clock',\n",
    "               'cloud', 'cockroach', 'couch', 'crab', 'crocodile', 'cup', 'dinosaur',\n",
    "               'dolphin', 'elephant', 'flatfish', 'forest', 'fox', 'girl', 'hamster',\n",
    "               'house', 'kangaroo', 'keyboard', 'lamp', 'lawn_mower', 'leopard', 'lion',\n",
    "               'lizard', 'lobster', 'man', 'maple_tree', 'motorcycle', 'mountain', 'mouse',\n",
    "               'mushroom', 'oak_tree', 'orange', 'orchid', 'otter', 'palm_tree', 'pear',\n",
    "               'pickup_truck', 'pine_tree', 'plain', 'plate', 'poppy', 'porcupine', 'possum',\n",
    "               'rabbit', 'raccoon', 'ray', 'road', 'rocket', 'rose', 'sea', 'seal', 'shark',\n",
    "               'shrew', 'skunk', 'skyscraper', 'snail', 'snake', 'spider', 'squirrel',\n",
    "               'streetcar', 'sunflower', 'sweet_pepper', 'table', 'tank', 'telephone',\n",
    "               'television', 'tiger', 'tractor', 'train', 'trout', 'tulip', 'turtle',\n",
    "               'wardrobe', 'whale', 'willow_tree', 'wolf', 'woman', 'worm']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "dreJlNcoAzpZ",
    "outputId": "b3f02442-bce8-4a48-d494-795869c199f8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50000, 32, 32, 3)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_images.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mUCjn7V0A3Ys",
    "outputId": "b21512ff-37f6-44e5-e2f7-679513af33de"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "psa_I5DSA7xE",
    "outputId": "c51578c4-be13-46e3-9d51-56dce3fe7ed3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[19],\n",
       "       [29],\n",
       "       [ 0],\n",
       "       ...,\n",
       "       [ 3],\n",
       "       [ 7],\n",
       "       [73]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Hxtsr_VWA-W2",
    "outputId": "e6273089-0b5e-43da-88c8-0613ac1e17d4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 32, 32, 3)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_images.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "k7uQQuCyBBUy",
    "outputId": "294599df-bb4f-4563-c42b-1b5b9773acf3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 430
    },
    "id": "cSqmAhqoBFfR",
    "outputId": "0cfbf0aa-0fa0-4df1-9cf1-04c2f6f0c036"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vn51htUrlbmv+m3DswdMeqdxXZydJxZuSxM9/r1fuvZKRI/4e7+xol8ptSbUJx5psWcKxhkS/VDvGgoKCgrDvH3/8caxdu/ai+2iahtWrV+Pmm2/G9OnTAQAOhwMmkwmZmZlhsbm5uXA4HKGYL3fe554/95yoy6MDJyKiuBStz4G3t7fDYrGEHjebh7/pTFVVFY4ePYq33pK7UVK0sAMnIiJl6RHejUz/x74WiyWsAx9OdXU1duzYgf3792PChAmhx+12O3w+H3p7e8NG4V1dXbDb7aGYd999NyzfuVXq52JE8Bo4EREpKwhDxJsMXddRXV2Nbdu2Ye/evSguLg57fvbs2UhKSsKePXtCjzU1NaGtrQ2lpaUAgNLSUnzwwQfo7u4OxezatQsWiwXTpk0TbgtH4ERERIKqqqqwZcsWvPLKK8jIyAhds7ZarUhJSYHVasWKFSuwZs0a2Gw2WCwWPPjggygtLcVNN90EAFiwYAGmTZuGb33rW1i/fj0cDgceffRRVFVVCU3dn8MOnIiIlKXpkdUz1yQXH2/YsAEAMG/evLDHN23ahPvuuw8A8NRTT8FoNKKyshJerxfl5eV47rnnQrEJCQnYsWMHHnjgAZSWliItLQ3Lly/HunXrpNrCDpyIiJSlRXgNXHZfXR++x09OTkZdXR3q6uouGFNUVITXXntN6mefj9fAiYiIFMQROBERKUuDAVoERTUi2TfW2IETEZGyvlxNbaT7q4pT6ERERAq6LEbgBolVhKP5z5ZBYHHDyJPLNdwgsbQyyZwslfuKG2+WiodEVcrOv74tlXpCfsHwQf/Q83lQKveRg+8Lx6YkipddBYDsDPESowAw71bx17xklvjnSAHg2YsstDlf36BPKrfMe0sP9EnlHnAPCMeaC8TLgAKApsuVXu3qdgnHJo7LHT7oSwxp44Vj/3asRSq3s/Ej4di8iROFY0XriEfDpV7ENpZcFh04ERHFJw0RllJV+Bq4uv96EBERxTGOwImISFl6hKvQdYVH4OzAiYhIWdG6G5mK2IETEZGy4nkRm7otJyIiimMcgRMRkbI4hU5ERKSgeC6lyil0IiIiBXEETkREyuIUOhERkYLYgY9BmqZDE6znLXMdQJOsV+7xidf0NSXKvZwJBvGWG2Wv00jUTg9A7jVpOf25VPwZiXrY3mumS+W+dvY/C8f6205L5X75T7vFcw+6pXJ/feE8qfgl/2eBcOyJ5o+lcne7xWvE+/QEqdxJunhuU6Jc7oxk8fdVWqZ4PXEAcPrlzmdabp5wrJ5ikcp98pR4jfjgoFxNfl+veA33N/94VLwdQU2qHTQyY7YDJyIiGg5H4ERERAqK5w6cq9CJiIgUxBE4EREpS0dkn+WWWwE0trADJyIiZcXzFDo7cCIiUlY8d+C8Bk5ERKQgjsCJiEhZ8TwCZwdORETKiucOnFPoRERECuIInIiIlKXrBugRjKIj2TfWxmwH7vX74PX7hGKTTSbhvK6Bfql2vP3eQeFYS3q6VO7rr50pHJuRkiqVOxgMCMd+dqpDKve+t8RrhANAa1ubcKx3UOycn2POv1I4NtDnkcrd/emnwrH9fXLvq0lXFkjFJ0K8pnivU7y+NQD4NPEa5AHJGtfagHgdb6OeJJU7IVn8977n9Bmp3F3dcvX+U0xpwrFpVvH7KwBAeqZ47gzJevIpieKfgi7IzhSO9QeC+JtUS0aO9wMnIiIipUh34Pv378eiRYuQn58Pg8GA7du3hz2v6zoee+wx5OXlISUlBWVlZThx4kS02ktERBRybhFbJJuqpDtwt9uNWbNmoa6ubsjn169fj2eeeQYbN27EwYMHkZaWhvLycng8ctOXREREwzl3DTySTVXS18ArKipQUVEx5HO6ruPpp5/Go48+irvuugsA8MILLyA3Nxfbt2/H0qVLI2stERERAYjyNfDW1lY4HA6UlZWFHrNarSgpKUFDQ8OQ+3i9XrhcrrCNiIhIBKfQo8ThcAAAcnNzwx7Pzc0NPXe+2tpaWK3W0FZQILc6l4iI4lc8T6HHfBV6TU0NnE5naGtvb491k4iISBF6hKNvduD/YLfbAQBdXV1hj3d1dYWeO5/ZbIbFYgnbiIiI6OKi2oEXFxfDbrdjz549ocdcLhcOHjyI0tLSaP4oIiIi6AB0PYIt1gcQAelV6P39/Whubg5939raisOHD8Nms6GwsBCrV6/Gj3/8Y1x99dUoLi7Gj370I+Tn52Px4sXRbDcRERE0GGCI00ps0h34oUOHcNttt4W+X7NmDQBg+fLl2Lx5Mx5++GG43W6sWrUKvb29uOWWW7Bz504kJydL/RxDYgIMgmUBXf3iZSzfO/xXqXa0dX4mHGs2maVyj7dlC8dOvnKSVG6nq0c49vDht6Ryd35yXCre0SZelrL7jFxJ0sMfvCMce+OEKVK5J9rHC8eesdmkcluz86Ti2zuGXgQ6lM5OudK47j7xMqOZ6SlyufvFS6m6zpyWyj0xZ4JwbHqy3J+6gRS5+GBAvHRx0C1X1jVoFP9kjm9cllRuJIqX6LVaxc+9zy/+etDISXfg8+bNg65feNLBYDBg3bp1WLduXUQNIyIiGg5vZkJERKQgTTfAwPuBExERkSo4AiciImWdW00eyf6qYgdORETKiudr4JxCJyIiUhBH4EREpKx4HoGzAyciImXF8yp0duBERKSseF7ExmvgRERECuIInIiIlHV2BB7JNfAoNuYSG7MdeNAbRNArVqf37YPvCudtPHZEqh2TpojXW+5od0rl3r5jz/BB//B/7vBL5W755EPx2PZWqdzGBLm69qe7xWuhf3byE6ncycE5wrEzrrxSKvf93/mWcGyvU7xeNQBMyrRKxXd0iNfkP/GBXK36vp5TwrHWLLla28GA+HslTZNKjSvGZQjH6kafVG6DJteYBKN4L5CQINfZBPziv/sD/b1SuRMSTcKxQU28vrkG8RrrkYrnRWycQiciIlLQmB2BExERDUdHZPf0VngGnR04ERGpi1PoREREpBSOwImISF1xPIfODpyIiNQV4RQ6FJ5CZwdORETKYiU2IiIiUgpH4EREpCyuQiciIlKRboh8k7R//34sWrQI+fn5MBgM2L59e9jz9913HwwGQ9i2cOHCsJjTp09j2bJlsFgsyMzMxIoVK9Df3y/VjjE7Au93u2AQLE+4d/9u4bxZ+dlS7fB6PMKxn37skMotenwA8O6Rt6VyH5UoGWuQfBskyL5tEr3CofPmXyeVOmecTTg2MCBXTnP65MnCscYzZ6Ryn3xdvIwuAKR83isc+7WMHKnc9mtmCsceOtUplfujlCTh2Csn5EnlHp8s/j70ePqkcgeCcqVUNU283GlCovhrAgDmxBThWN+A3HGaUlKFY41JZuFYg1GyLq5i3G43Zs2ahe985ztYsmTJkDELFy7Epk2bQt+bzeGv37Jly9DZ2Yldu3bB7/fj29/+NlatWoUtW7YIt2PMduBERETDicUitoqKClRUVFw0xmw2w263D/nchx9+iJ07d+K9997DDTfcAAB49tlncccdd+AXv/gF8vPzhdrBKXQiIlKXHoUNgMvlCtu8XvGZw6Hs27cPOTk5mDx5Mh544AH09PSEnmtoaEBmZmao8waAsrIyGI1GHDx4UPhnsAMnIqK4V1BQAKvVGtpqa2tHnGvhwoV44YUXsGfPHvzsZz9DfX09KioqEAyevUubw+FATk74pa7ExETYbDY4HOKXYjmFTkREyorWKvT29nZYLJbQ4+dfs5axdOnS0NczZszAzJkzMWnSJOzbtw/z588fcd7zcQRORERqi3D6HAAsFkvYFkkHfr6JEyciOzsbzc3NAAC73Y7u7u6wmEAggNOnT1/wuvlQ2IETERGNopMnT6Knpwd5eWc/aVFaWore3l40NjaGYvbu3QtN01BSUiKcl1PoRESkrFgUcunv7w+NpgGgtbUVhw8fhs1mg81mwxNPPIHKykrY7Xa0tLTg4YcfxlVXXYXy8nIAwNSpU7Fw4UKsXLkSGzduhN/vR3V1NZYuXSq8Ah3gCJyIiFQWpVXoMg4dOoTrr78e119/PQBgzZo1uP766/HYY48hISEBR44cwb/+67/immuuwYoVKzB79mz85S9/CZuWf/HFFzFlyhTMnz8fd9xxB2655Rb813/9l1Q7OAInIiKFGf6xRbK/nHnz5kG/yAfIX3/99WFz2Gw2qaItQ+EInIiISEEcgRMRkbpGOA0etr+ixmwHnpRqQlKa2DJ+qy1dOO9nn7VItePI344Kx37aLFeIPm+CeI3jLLtLKremBYRjz5yWa3eSRA13ALhyonhtbnt+hlTuQa94DWqfR64WenBQPH7wk8+kcg98IldT3OkUr7WekmmVyj2ncIJwbJ5Z7vxYejqEYxPHpUnl1pLE3+N6UK7+uEGitjkABP3i90wwyH46SUsQz60FpVIHvOLtNhnF24GgXDsiEscdOKfQiYiIFDRmR+BERETDGuEtQcP2VxQ7cCIiUlYs7kY2VnAKnYiISEEcgRMRkbrieBEbO3AiIlJXHF8D5xQ6ERGRgjgCJyIiZRn0s1sk+6uKHTgREamL18CJiIgUFMfXwMdsB37oyN+RmiZWWjGoi5f4S0iQO+TWj1uFYz/7TK4kafq48cKxweA4qdx9fQPCsbKlVIslSm8CQM548VKqJ0/+XSr3uMRe4dika8VL1wJAonNQOLb98DGp3Mdcbqn4Px0Xz+/UxMtjAkBmcqpw7ILJN0jl/mdTgXBse9cnUrkTrOLlUQOpcn+k/RIlRgFA18TL7uqa3N8gmXKnwaBcCdgEXROO1RLF260HLmEp1Tg2ZjtwIiKiYXEKnYiISEFx3IFLf4xs//79WLRoEfLz82EwGLB9+/aw5++77z4YDIawbeHChdFqLxEREWEEHbjb7casWbNQV1d3wZiFCxeis7MztP32t7+NqJFERERD0qOwKUp6Cr2iogIVFRUXjTGbzbDb7SNuFBERkZA4XoU+KpXY9u3bh5ycHEyePBkPPPAAenp6Lhjr9XrhcrnCNiIiIrq4qHfgCxcuxAsvvIA9e/bgZz/7Gerr61FRUYFgcOiPFdTW1sJqtYa2ggLxj50QEVF8O1eJLZJNVVFfhb506dLQ1zNmzMDMmTMxadIk7Nu3D/Pnz/9KfE1NDdasWRP63uVysRMnIiIxXIU+eiZOnIjs7Gw0NzcP+bzZbIbFYgnbiIiI6OJGvQM/efIkenp6kJeXN9o/ioiIKG5IT6H39/eHjaZbW1tx+PBh2Gw22Gw2PPHEE6isrITdbkdLSwsefvhhXHXVVSgvL49qw4mIiAyI8G5kUWvJpSfdgR86dAi33XZb6Ptz16+XL1+ODRs24MiRI/j1r3+N3t5e5OfnY8GCBXjyySdhNpulfs4nbceQkiJWuzoxUfzs5WRlS7XDAPFawckp4jXZAaDsdvF/aqZMmyiVO+j9q3Bsjk3u3V+QVygVP96WIRw7sWCyVO7C8fnCsQmS803Ojk+FY3tc3VK5P4ZczeqMmTOFYwODcp/k6D3tFI595dPjUrmvzRGfeSs2yP2NgEO8Vv2gVa42tx7wSsUHAuK10DW/eA13AAhKXKQd8Mjd1yA5Tfx1MaXInJ9LWAs9jj9GJt2Bz5s3D7p+4TfU66+/HlGDiIiIaHishU5EROqK41Xo7MCJiEhdcdyBj/oqdCIiIoo+jsCJiEhZkVZTYyU2IiKiWOAUOhEREamEI3AiIlJXHI/A2YETEZGy4vkaOKfQiYiIFMQROBERqYulVMeevEIPUtPEYsdlpwrn9fvFaxYDQPmdc4Rje3rEazMDQGKyeL1gn0+u3ddff61wrMctV/e5o+1zqfjrpoq3ZdKVRVK5ez8Xr/vd6eiQyn26/aRwrPEquXbfets8qXiPUbx+tqtf7n0YkChbfazpA6ncbU1D30Z4KDkJcnOZFqP4fQp0TS630SCeGwAMWkC8LTIvOICARNN9frka+4lB8c4rEBB/XwUCcq9fRHgNnIiISD28Bk5ERERK4QiciIjUxSl0IiIiBUU4ha5yB84pdCIiIgVxBE5EROriFDoREZGC4rgD5xQ6ERGRgjgCJyIiZfFz4ERERKSUMTsCf/uvu2BOFmteQKI0YeGV46Xacd0/TxOO/bTFIZXbaBAv1Xm6v0cqtxZMEI7tc4qXgQSAHpd4+VIAePdvTuHYj1oypHJ/9pl4W5K9HqncU8xZwrHGtHyp3A6nXLnTt9/7i3CsbBXLJHOKcKyz/5RUbl+S+PvQmSxeLhYAEhPEcw9A7twHNblypwmJ4n9KEyViAcAfEP/9NBrkxmQJieKvoccrXnLZfylLqcaxMduBExERDSuOF7GxAyciImXF8zVwduBERKQ2hTvhSHARGxERkYI4AiciInXxGjgREZF64vkaOKfQiYiIFMQROBERqYtT6EREROrhFDoREREphSNwIiJSF6fQx57iiTakpIrVRvYHfMJ5c+xy9ZZd/Z8Kx/a5T0vlTkw0C8f6g8lSuZ194jXC/QG5d7Btglw9+SSzeC30hGS3VO6iKeKTSFpQbsIpI1G8Lvtf3vpQKvexE5/JtSUjUzjWYJT7tfb4xGtc9/TKvcc1Xbwt+jibVO6+M2eEYwd9A1K5DQaDVLzJZBqVWAAY9IjXcU80yf19MxrFfycCEvXhNe0S9opx3IFzCp2IiEhB7MCJiEhZ5xaxRbLJ2r9/PxYtWoT8/HwYDAZs37497Hld1/HYY48hLy8PKSkpKCsrw4kTJ8JiTp8+jWXLlsFisSAzMxMrVqxAf3+/VDvYgRMRkbr0KGyS3G43Zs2ahbq6uiGfX79+PZ555hls3LgRBw8eRFpaGsrLy+H50uWQZcuW4dixY9i1axd27NiB/fv3Y9WqVVLtGLPXwImIiIYVg2vgFRUVqKioGDqdruPpp5/Go48+irvuugsA8MILLyA3Nxfbt2/H0qVL8eGHH2Lnzp147733cMMNNwAAnn32Wdxxxx34xS9+gfz8fKF2cARORERxz+VyhW1er/jizi9rbW2Fw+FAWVlZ6DGr1YqSkhI0NDQAABoaGpCZmRnqvAGgrKwMRqMRBw8eFP5Z7MCJiEhZ0boGXlBQAKvVGtpqa2tH1B6HwwEAyM3NDXs8Nzc39JzD4UBOTk7Y84mJibDZbKEYEZxCJyIidUVpCr29vR0WiyX0sNks/jHfWOEInIiI4p7FYgnbRtqB2+12AEBXV1fY411dXaHn7HY7uru7w54PBAI4ffp0KEYEO3AiIlJWLD5GdjHFxcWw2+3Ys2dP6DGXy4WDBw+itLQUAFBaWore3l40NjaGYvbu3QtN01BSUiL8sziFTkRE6orBKvT+/n40NzeHvm9tbcXhw4dhs9lQWFiI1atX48c//jGuvvpqFBcX40c/+hHy8/OxePFiAMDUqVOxcOFCrFy5Ehs3boTf70d1dTWWLl0qvAIdGMMd+D/NuAppGWLlQ/v7B4XzHj/+N6l2nO4VL9c4Zdp0qdwZ6Zbhg0LkSjt2nxJ/V/p9crn7evuk4l3uU8KxWTbx6aOz8eOEY/s9chNOyQmZwrGJqeJlVwEg6Bd/zwKAyZAuHJuaniaV2yhRMrb3VLtU7sy8K4Vjx5nk/hw5T/9dOFYziJdbBgCzWa7cqVGi9Gog4JfK7feLtz0tJVUqdzCgiedOtwrH+gMaAPG/nao5dOgQbrvtttD3a9asAQAsX74cmzdvxsMPPwy3241Vq1aht7cXt9xyC3bu3Ink5C/6tBdffBHV1dWYP38+jEYjKisr8cwzz0i1Y8x24ERERMOKwQh83rx50PUL72gwGLBu3TqsW7fugjE2mw1btmyR/+FfIjUkqa2txZw5c5CRkYGcnBwsXrwYTU1NYTEejwdVVVXIyspCeno6Kisrv3Ixn4iIKBoMUdhUJdWB19fXo6qqCgcOHMCuXbvg9/uxYMECuN1f3EHqoYcewquvvoqtW7eivr4eHR0dWLJkSdQbTkREFM+kptB37twZ9v3mzZuRk5ODxsZGzJ07F06nE88//zy2bNmC22+/HQCwadMmTJ06FQcOHMBNN90UvZYTERHxdqIj43Sevc+zzXb2Pr6NjY3w+/1hJeSmTJmCwsLCUAm583m93q+UsCMiIhIx1j5GdimNuAPXNA2rV6/GzTffjOnTz66+djgcMJlMyMzMDIv9cgm589XW1oaVrysoKBhpk4iIKN7E4G5kY8WIO/CqqiocPXoUL730UkQNqKmpgdPpDG3t7XIfUyEiIopHI/oYWXV1dej+pRMmTAg9brfb4fP50NvbGzYK/3IJufOZzWYlas4SEdEYpfAoOhJSI3Bd11FdXY1t27Zh7969KC4uDnt+9uzZSEpKCish19TUhLa2tlAJOSIiomiJ52vgUiPwqqoqbNmyBa+88goyMjJC17WtVitSUlJgtVqxYsUKrFmzBjabDRaLBQ8++CBKS0u5Ap2IiCiKpDrwDRs2ADhbhebLNm3ahPvuuw8A8NRTT4XKwnm9XpSXl+O5556LSmOJiIjCxPHHyKQ68IuVjjsnOTkZdXV1qKurG3GjAMDp7kHAIHZt3Ajxa+gup3jtXwD46CPxOt7NH9dL5Z5QmC0cO/O6SVK5CyVypxhlarIDelCudlEwEBSONSWlSOU2JInHpg7K/abmpYq/5tdfJ1eDOttqk4p/e//bwrHOM71SuQMS5+fUZ93DB32JnpYlHBu8Ru49Don3YWKy+DECgDlR4o0FYNA9IByrBQNSuU3J4lc6EyD39803KPG6iN2a4iy5Q4xIpNPgKk+h83aiRERECuLNTIiISF2cQiciIlIPp9CJiIhIKRyBExGRujiFTkREpCB24EREROrhNXAiIiJSCkfgRESkLk6hExERqceg6zAIVAm92P6qGrMdeGqSEakmsRl+XRMvH3jzTbOl2jFp0lTh2I8//UQqd/epk8KxvT39UrmTk8TLy3YNipeLBYDMTLnSqxkZGcKxepJcmdY+l1M41pY2YfigLxmfM168HQVyJWDfa2iQiu/p/Vw4VpP4fZBlkCmnCcBmE9/BdkWmVG63xAXAJIPc1UJTSoJUvMyF1MHBQanUulE8d0CTq2Eq81YZkGi3Pzh670H6wpjtwImIiIbFKXQiIiL1cBU6ERERKYUjcCIiUhen0ImIiNTDKXQiIiJSCkfgRESkLk6hExERqSeep9DZgRMRkbrieATOa+BEREQK4giciIiUpvI0eCTGbAduTAjCmCBW19eYJH72LNYkqXZk268Qjp06PV8qt8cjXltY04JSuTs/7xSO7XaK19kGgG5Xl1S8PU+8prjVKldsWzOK14jv98tNOPV43hWO/ey0Syr30eNvS8V7PeLnKDlZsmC5hDSr3F/KApv4nxhnX5tUbmOm+HFmJmVL5dbgk2uLUfy9FdDlfpf7+8Tf4wlGyRruCeLtDkrcpkDuCCOk62e3SPZXFKfQiYiIFDRmR+BERETD4Sp0IiIiFXEVOhEREamEI3AiIlKWQTu7RbK/qtiBExGRujiFTkRERCrhCJyIiJTFVehEREQqiuNCLuzAiYhIWRyBj0HNjo+R0ifWPGtmhnBes0+u5KUlOU04dlyGeDsAIDlZfAmCESap3DnjsoRjkxJTpHK7+k5JxSfo4jUYXb29Urm7TvUIxzq7PpXK3Zz9N+HYCdbrpXIv+3/nSsV/8J54W3w+uTKgmePGCcd6k+TeK3qvUzj26PEjUrmvHJ8uHJuVZpPKHXCflorvCYqVfQYAS1KmVG7dIP770+/sk8qdnCr+9y3VIv56+wMaAPHfTRqZMduBExERDSuOV6GzAyciImXF8xQ6P0ZGRESkII7AiYhIXVyFTkREpB5OoRMREZFSOAInIiJ1cRU6ERGRejiFTkRERErhCJyIiNSl6We3SPZXFDtwIiJSF6+Bjz3Ofhe8uljzPAGPcF6zWbw2MwD4M6zCsX39/VK5AU04MjVFvGYxAKSn5gnHJpvEaxwDwHirRSre7x8UjnX2ydWqP9ncIRybaJR7ux/paheObU+WSo1rTFOl4m0S78P8nHyp3EZNvI63J1W8LjcA9CR1C8deAbl7CaQkir8mKWlyuYMDcifUH/QLx/o8XrncPvHzM9Av/rsGAGaz+OsybpxdONbnDwCQu/fASBkQ4TXwqLXk0uM1cCIiIgVJdeC1tbWYM2cOMjIykJOTg8WLF6OpqSksZt68eTAYDGHb/fffH9VGExERAfiiElskm6KkOvD6+npUVVXhwIED2LVrF/x+PxYsWAC32x0Wt3LlSnR2doa29evXR7XRREREwBcfI4tkU5XURcGdO3eGfb9582bk5OSgsbERc+d+cX/j1NRU2O3i10uIiIhITkTXwJ3OswvCbDZb2OMvvvgisrOzMX36dNTU1GBgYOCCObxeL1wuV9hGREQkRI/CpqgRd+CapmH16tW4+eabMX369NDj3/jGN/Cb3/wGb775JmpqavC///u/+OY3v3nBPLW1tbBaraGtoKBgpE0iIqI4Y9D1iDcZa9eu/co6rylTpoSe93g8qKqqQlZWFtLT01FZWYmurq5oHzaACD5GVlVVhaNHj+Ktt94Ke3zVqlWhr2fMmIG8vDzMnz8fLS0tmDRp0lfy1NTUYM2aNaHvXS4XO3EiIhqzrr32WuzevTv0fWLiF13pQw89hD/96U/YunUrrFYrqqursWTJErz99ttRb8eIOvDq6mrs2LED+/fvx4QJEy4aW1JSAgBobm4esgM3m80wm80jaQYREcU7DTIlNYbeX1JiYuKQ67ycTieef/55bNmyBbfffjsAYNOmTZg6dSoOHDiAm266KYKGfpXUFLqu66iursa2bduwd+9eFBcXD7vP4cOHAQB5eeKFRYiIiEREawr9/LVYXu+FC+6cOHEC+fn5mDhxIpYtW4a2tjYAQGNjI/x+P8rKykKxU6ZMQWFhIRoaGqJ+7FIdeFVVFX7zm99gy5YtyMjIgMPhgMPhwODg2eo/LS0tePLJJ9HY2IhPPvkEf/zjH3Hvvfdi7ty5mDlzZtQbT0REFA0FBQVh67Fqa2uHjCspKcHmzZuxc+dObNiwAa2trbj11lvR19cHh8MBk8mEzMzMsH1yc3PhcDii3mapKfQNGzYAOFus5cs2bdqE++67DyaTCbt378bTTz8Nt9uNgoICVFZW4tFHH41ag4mIiEKiVAu9vb0dFssXZaIvdGm3oqIi9PXMmTNRUlKCoqIivPzyy0hJSYmgIfKkOnB9mNV6BQUFqK+vj6hB5+TnTERqukkoNhAQv4hhTJBbeD846BOO7e51Dx/0Ja6+U8KxBUVyn6sfMIu9dgDg6ZNrd3q6XO30rKws4dikpFSp3BOLTgvHpqbL1bf+uCVBONacKFer3pgnd+EtM1e8/nx/f59U7oSgeG3uSddeJZVb+ygoHOsPyJ2fZLP4eyVolHu9s9Ll3oeJSeLvlTOf90jlNmjia4QGBsVrsgNAosT6I2OCeHch+XJHJtJqav/Y12KxhHXgojIzM3HNNdegubkZX/va1+Dz+dDb2xs2Cu/q6hqV2iishU5ERMqKdSW2/v5+tLS0IC8vD7Nnz0ZSUhL27NkTer6pqQltbW0oLS2N8Ei/aszejYyIiGis+d73vodFixahqKgIHR0dePzxx5GQkIB77rkHVqsVK1aswJo1a2Cz2WCxWPDggw+itLQ06ivQAXbgRESksihNoYs6efIk7rnnHvT09GD8+PG45ZZbcODAAYwfPx4A8NRTT8FoNKKyshJerxfl5eV47rnnRt6+i2AHTkREyjJoZ7dI9pfx0ksvXfT55ORk1NXVoa6ubuSNEsRr4ERERAriCJyIiNR1iafQxxJ24EREpK4ofQ5cRZxCJyIiUhBH4EREpKyR3BL0/P1VxQ6ciIjUxWvgY48vMIDEgFhZQLNZvP5sWkqmVDuCgYBw7IBzQCp3Wqp4+cWgX7w0KgCcHjgjHJtsknsbGJKkwqEZxctpDvj6pXLn2MVLH6amypXHtNttwrGBoPgxAoBXG5SKz7JlC8cOOuVyJyeJl8ZNSJXMfUq8PGqKQ66MpVETLwEbhFy5YGOCXE3rlLRM4dgBt3h5ZgBIShb/nFNQFy/PDACaQbz06mDAJRzrC8j9PtDIjNkOnIiIaFg6IrsfuLoDcHbgRESkLl4DJyIiUpGOCK+BR60llxw/RkZERKQgjsCJiEhdXIVORESkIA2AIcL9FcUpdCIiIgVxBE5ERMriKnQiIiIVxfE1cE6hExERKYgjcCIiUlccj8DHbAc+MHgGulGseQFN/AT09XdJtSPBIF4/22AQr50NANYM8fiBAbl2JyWKFyw3JIrXZAcAt0euXnlfh3gN5f7+PqnckDj3uia3VDUhSTxe0yRrbUsumw0OOIVjExPkltW6B8Rrivf5eqRyG6xp4rFpcnXW3Z+L1xT363K1uQMQf00AwDso/h736+L1xwHgZOdnwrGO7tNSucfni9d81wfE7wvh91/Cpd1x3IFzCp2IiEhBY3YETkRENKw4/hw4O3AiIlIWP0ZGRESkIl4DJyIiIpVwBE5EROrSdMAQwSha4pMsYw07cCIiUhen0ImIiEglHIETEZHCIhyBQ90RODtwIiJSVxxPoY/ZDtw/mIFEo1g5UHd/t3BeLSheDhAAfD7xEpYmo1y5xjOtA8KxLrd4OUUAmD7jGuFYp0OuPKbRIPe20TSJSgmS5U5bW8RfF7NJvCwuAGTaxMtMWsfJXY2yZpqk4uETL9WanCp3nM5+j3DswIB4+VIA0AfFf988SeLlfwHAD4twrOZPlsudIP67CQD+RPFSqgN+uXKnH7e1C8f2OeX+BmVOMAvHBozi5z5gVLg6ikLGbAdOREQ0LE1HRNPgXIVOREQUA7p2dotkf0VxFToREZGCOAInIiJ1cREbERGRgngNnIiISEFxPALnNXAiIiIFcQRORETq0hHhCDxqLbnk2IETEZG6OIVOREREKuEInIiI1KVpACIoxiJT6nmMGbMduKOjH+YUseZpEvWzTUlpUu34rFO8TrjPJ1fjODFRvNZ25jjxus8A8Flnl3BsglGu/rgR4u0GgNSkdOHYZJN4LAAkmv3CsR81fySVO98j/ponfu6Vyp2UJPdHIz01Qzg2Lc0qlXtwULwWeoJJrt1BXbxGeHryBLncgvdKAAAMDkrlPhMQ//0BAENOn3Ds6X65ew/09Yu/5h5dblL1yn+aKhw7/foi8XYM+vH6zj9ItWXEOIVOREREKpHqwDds2ICZM2fCYrHAYrGgtLQUf/7zn0PPezweVFVVISsrC+np6aisrERXl9x/skRERMLOjcAj2RQl1YFPmDABP/3pT9HY2IhDhw7h9ttvx1133YVjx44BAB566CG8+uqr2Lp1K+rr69HR0YElS5aMSsOJiIig6ZFvipK6Br5o0aKw73/yk59gw4YNOHDgACZMmIDnn38eW7Zswe233w4A2LRpE6ZOnYoDBw7gpptuil6riYiI4tyIF7EFg0Fs3boVbrcbpaWlaGxshN/vR1lZWShmypQpKCwsRENDwwU7cK/XC6/3iwVALpf4ohciIopvuq5Bj+CWoJHsG2vSi9g++OADpKenw2w24/7778e2bdswbdo0OBwOmEwmZGZmhsXn5ubC4XBcMF9tbS2sVmtoKygokD4IIiKKU3qE0+fxcg0cACZPnozDhw/j4MGDeOCBB7B8+XIcP358xA2oqamB0+kMbe3t7SPORUREcSaOF7FJT6GbTCZcddVVAIDZs2fjvffew69+9Svcfffd8Pl86O3tDRuFd3V1wW63XzCf2WyG2WyWbzkREVEci/hz4Jqmwev1Yvbs2UhKSsKePXtCzzU1NaGtrQ2lpaWR/hgiIqKv0rTIN0VJjcBrampQUVGBwsJC9PX1YcuWLdi3bx9ef/11WK1WrFixAmvWrIHNZoPFYsGDDz6I0tJSrkAnIqLRoeuI6JZi8TKF3t3djXvvvRednZ2wWq2YOXMmXn/9dXzta18DADz11FMwGo2orKyE1+tFeXk5nnvuuRE1rLXVgSRzglCsQaIObka63H9brjPikxR9fT6p3NOm5wvHXlmUJZX7ZMcnwrEZGeOkcut+uTd8app4SVKzRNlVALiyULwMrM2WLJXb4xkQju3tdUrldp6Rex8abZnCsbpf7PcmlNso/ro43Z9L5fYF3cKxvc5TUrkt7lThWLNkiVGPUbzdAGA2ied39smde7dbPLf1CpNU7uTx4u+VYLp4yd2gUbzEMY2cVAf+/PPPX/T55ORk1NXVoa6uLqJGERERidA1DbohPj9GNmZvZkJERDSsOJ5C581MiIiIFMQROBERqUvTAUN8jsDZgRMRkbp0HZBYyDz0/mriFDoREZGCOAInIiJl6ZoOPYIpdF3hETg7cCIiUpeuIbIpdH6MjIiI6JKL5xE4r4ETEREpaMyNwM/9N+T3BoX3kSml6ksMSLVHph0Bn9xUjHdQvC2DA3KlCb2D4u1OSpB7TfSA3H+sgybxtmuJcuVoBzXx3B7Z19Ar/rp4PeKvNwD4PKP3XjFKFrUwGsXL0Xp9kscZFD9Oo+Rr6PWKn0/dKzdW8elybYF4lVH4/XLnXpMYIWqa3Ln3ecTfVzK/P57Bs7GXYnQb0L0RTYMHoG7ZV4M+xuYPTp48iYKCglg3g4iIItTe3o4JEyaMSm6Px4Pi4mI4HI6Ic9ntdrS2tiI5We5+CbE25jpwTdPQ0dGBjIwMGAxfjAxcLhcKCgrQ3t4Oi0X85hiq4XFePuLhGAEe5+UmGsep6zr6+vqQn58Po3H0rtR6PB74fHKzdkMxmUzKdd7AGJxCNxqNF/2PzWKxXNa/POfwOC8f8XCMAI/zchPpcVqt1ii2ZmjJyclKdrzRwkVsRERECmIHTkREpCBlOnCz2YzHH38cZrM51k0ZVTzOy0c8HCPA47zcxMtxXg7G3CI2IiIiGp4yI3AiIiL6AjtwIiIiBbEDJyIiUhA7cCIiIgUp04HX1dXhyiuvRHJyMkpKSvDuu+/GuklRtXbtWhgMhrBtypQpsW5WRPbv349FixYhPz8fBoMB27dvD3te13U89thjyMvLQ0pKCsrKynDixInYNDYCwx3nfffd95Vzu3Dhwtg0doRqa2sxZ84cZGRkICcnB4sXL0ZTU1NYjMfjQVVVFbKyspCeno7Kykp0dXXFqMUjI3Kc8+bN+8r5vP/++2PU4pHZsGEDZs6cGSrWUlpaij//+c+h5y+HcxkPlOjAf/e732HNmjV4/PHH8de//hWzZs1CeXk5uru7Y920qLr22mvR2dkZ2t56661YNykibrcbs2bNQl1d3ZDPr1+/Hs888ww2btyIgwcPIi0tDeXl5fB4JO4MMQYMd5wAsHDhwrBz+9vf/vYStjBy9fX1qKqqwoEDB7Br1y74/X4sWLAAbrc7FPPQQw/h1VdfxdatW1FfX4+Ojg4sWbIkhq2WJ3KcALBy5cqw87l+/foYtXhkJkyYgJ/+9KdobGzEoUOHcPvtt+Ouu+7CsWPHAFwe5zIu6Aq48cYb9aqqqtD3wWBQz8/P12tra2PYquh6/PHH9VmzZsW6GaMGgL5t27bQ95qm6Xa7Xf/5z38eeqy3t1c3m836b3/72xi0MDrOP05d1/Xly5frd911V0zaM1q6u7t1AHp9fb2u62fPXVJSkr5169ZQzIcffqgD0BsaGmLVzIidf5y6ruv/8i//ov/Hf/xH7Bo1SsaNG6f/93//92V7Li9HY34E7vP50NjYiLKystBjRqMRZWVlaGhoiGHLou/EiRPIz8/HxIkTsWzZMrS1tcW6SaOmtbUVDocj7LxarVaUlJRcducVAPbt24ecnBxMnjwZDzzwAHp6emLdpIg4nU4AgM1mAwA0NjbC7/eHnc8pU6agsLBQ6fN5/nGe8+KLLyI7OxvTp09HTU0NBgYGYtG8qAgGg3jppZfgdrtRWlp62Z7Ly9GYu5nJ+T7//HMEg0Hk5uaGPZ6bm4uPPvooRq2KvpKSEmzevBmTJ09GZ2cnnnjiCdx66604evQoMjIyYt28qDt3C8Chzms0bg84lixcuBBLlixBcXExWlpa8MMf/hAVFRVoaGhAQkJCrJsnTdM0rF69GjfffDOmT58O4Oz5NJlMyMzMDItV+XwOdZwA8I1vfANFRUXIz8/HkSNH8Mgjj6CpqQl/+MMfYthaeR988AFKS0vh8XiQnp6Obdu2Ydq0aTh8+PBldy4vV2O+A48XFRUVoa9nzpyJkpISFBUV4eWXX8aKFSti2DKK1NKlS0Nfz5gxAzNnzsSkSZOwb98+zJ8/P4YtG5mqqiocPXpU+TUaw7nQca5atSr09YwZM5CXl4f58+ejpaUFkyZNutTNHLHJkyfj8OHDcDqd+P3vf4/ly5ejvr4+1s0iCWN+Cj07OxsJCQlfWQHZ1dUFu90eo1aNvszMTFxzzTVobm6OdVNGxblzF2/nFQAmTpyI7OxsJc9tdXU1duzYgTfffDPstr92ux0+nw+9vb1h8aqezwsd51BKSkoAQLnzaTKZcNVVV2H27Nmora3FrFmz8Ktf/eqyO5eXszHfgZtMJsyePRt79uwJPaZpGvbs2YPS0tIYtmx09ff3o6WlBXl5ebFuyqgoLi6G3W4PO68ulwsHDx68rM8rAJw8eRI9PT1KnVtd11FdXY1t27Zh7969KC4uDnt+9uzZSEpKCjufTU1NaGtrU+p8DnecQzl8+DAAKHU+h6JpGrxe72VzLuNCrFfRiXjppZd0s9msb968WT9+/Li+atUqPTMzU3c4HLFuWtR897vf1fft26e3trbqb7/9tl5WVqZnZ2fr3d3dsW7aiPX19envv/++/v777+sA9F/+8pf6+++/r3/66ae6ruv6T3/6Uz0zM1N/5ZVX9CNHjuh33XWXXlxcrA8ODsa45XIudpx9fX369773Pb2hoUFvbW3Vd+/erf/TP/2TfvXVV+sejyfWTRf2wAMP6FarVd+3b5/e2dkZ2gYGBkIx999/v15YWKjv3btXP3TokF5aWqqXlpbGsNXyhjvO5uZmfd26dfqhQ4f01tZW/ZVXXtEnTpyoz507N8Ytl/ODH/xAr6+v11tbW/UjR47oP/jBD3SDwaC/8cYbuq5fHucyHijRgeu6rj/77LN6YWGhbjKZ9BtvvFE/cOBArJsUVXfffbeel5enm0wm/YorrtDvvvtuvbm5OdbNisibb76pA/jKtnz5cl3Xz36U7Ec/+pGem5urm81mff78+XpTU1NsGz0CFzvOgYEBfcGCBfr48eP1pKQkvaioSF+5cqVy/3wOdXwA9E2bNoViBgcH9X//93/Xx40bp6empupf//rX9c7Oztg1egSGO862tjZ97ty5us1m081ms37VVVfp3//+93Wn0xnbhkv6zne+oxcVFekmk0kfP368Pn/+/FDnreuXx7mMB7ydKBERkYLG/DVwIiIi+ip24ERERApiB05ERKQgduBEREQKYgdORESkIHbgRERECmIHTkREpCB24ERERApiB05ERKQgduBEREQKYgdORESkIHbgRERECvr/AccCrt0eqDuxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.imshow(train_images[0])\n",
    "plt.colorbar()\n",
    "plt.grid(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "4Q6CDK0bBIOU",
    "outputId": "a5dd0702-76bb-4d8e-b717-1278c0a2ffd8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([19, 29,  0, ...,  3,  7, 73])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_labels = np.asarray(train_labels).reshape(-1)\n",
    "\n",
    "train_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 854
    },
    "id": "2oJXzU3xBNf-",
    "outputId": "6083290c-c596-4f4b-cb0f-5ed3e4bcbfa9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,15))\n",
    "for i in range(25):\n",
    "  plt.subplot(5,5,i+1)\n",
    "  plt.xticks([])\n",
    "  plt.yticks([])\n",
    "  plt.grid(False)\n",
    "  plt.imshow(train_images[i],cmap='viridis')\n",
    "  plt.xlabel(class_names[train_labels[i]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wq67hV8xBQzo",
    "outputId": "ee834a65-ae4b-4e84-9561-67dc26a28f7f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " conv2d (Conv2D)             (None, 32, 32, 32)        896       \n",
      "                                                                 \n",
      " conv2d_1 (Conv2D)           (None, 32, 32, 32)        9248      \n",
      "                                                                 \n",
      " max_pooling2d (MaxPooling2  (None, 16, 16, 32)        0         \n",
      " D)                                                              \n",
      "                                                                 \n",
      " conv2d_2 (Conv2D)           (None, 16, 16, 64)        18496     \n",
      "                                                                 \n",
      " conv2d_3 (Conv2D)           (None, 16, 16, 64)        36928     \n",
      "                                                                 \n",
      " max_pooling2d_1 (MaxPoolin  (None, 8, 8, 64)          0         \n",
      " g2D)                                                            \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 4096)              0         \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 4096)              0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 128)               524416    \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 100)               12900     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 602884 (2.30 MB)\n",
      "Trainable params: 602884 (2.30 MB)\n",
      "Non-trainable params: 0 (0.00 Byte)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# Build a CNN\n",
    "\n",
    "model = tf.keras.Sequential([\n",
    "    tf.keras.layers.Conv2D(filters=32, kernel_size=3, padding=\"same\", activation=\"relu\", input_shape=[32, 32, 3]),\n",
    "    tf.keras.layers.Conv2D(filters=32, kernel_size=3, padding=\"same\", activation=\"relu\"),\n",
    "    tf.keras.layers.MaxPooling2D(pool_size=2, strides=2, padding=\"valid\"),\n",
    "    tf.keras.layers.Conv2D(filters=64, kernel_size=3, padding=\"same\", activation=\"relu\"),\n",
    "    tf.keras.layers.Conv2D(filters=64, kernel_size=3, padding=\"same\", activation=\"relu\"),\n",
    "    tf.keras.layers.MaxPooling2D(pool_size=2, strides=2, padding=\"valid\"),\n",
    "    tf.keras.layers.Flatten(),\n",
    "    tf.keras.layers.Dropout(0.5, noise_shape=None, seed=None),\n",
    "    tf.keras.layers.Dense(units=128, activation='relu'),\n",
    "    tf.keras.layers.Dense(units=100, activation='softmax')\n",
    "])\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "FLWUosauHjdS"
   },
   "outputs": [],
   "source": [
    "model.compile(optimizer='adam',\n",
    "              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UbYvTso1Ij1H",
    "outputId": "11973419-3da8-4116-c269-f71b82833eb2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/keras/src/backend.py:5727: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a Softmax activation and thus does not represent logits. Was this intended?\n",
      "  output, from_logits = _get_logits(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1563/1563 [==============================] - 14s 5ms/step - loss: 4.3371 - accuracy: 0.0581\n",
      "Epoch 2/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 3.5381 - accuracy: 0.1594\n",
      "Epoch 3/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 3.2048 - accuracy: 0.2175\n",
      "Epoch 4/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 2.9929 - accuracy: 0.2587\n",
      "Epoch 5/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.8617 - accuracy: 0.2827\n",
      "Epoch 6/100\n",
      "1563/1563 [==============================] - 9s 5ms/step - loss: 2.7532 - accuracy: 0.3050\n",
      "Epoch 7/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.6578 - accuracy: 0.3218\n",
      "Epoch 8/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 2.5914 - accuracy: 0.3358\n",
      "Epoch 9/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.5222 - accuracy: 0.3520\n",
      "Epoch 10/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 2.4677 - accuracy: 0.3612\n",
      "Epoch 11/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.4318 - accuracy: 0.3661\n",
      "Epoch 12/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 2.3845 - accuracy: 0.3813\n",
      "Epoch 13/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.3391 - accuracy: 0.3895\n",
      "Epoch 14/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 2.2916 - accuracy: 0.3985\n",
      "Epoch 15/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 2.2749 - accuracy: 0.4016\n",
      "Epoch 16/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.2408 - accuracy: 0.4111\n",
      "Epoch 17/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 2.2074 - accuracy: 0.4159\n",
      "Epoch 18/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 2.1785 - accuracy: 0.4261\n",
      "Epoch 19/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.1602 - accuracy: 0.4282\n",
      "Epoch 20/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 2.1427 - accuracy: 0.4328\n",
      "Epoch 21/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.1060 - accuracy: 0.4405\n",
      "Epoch 22/100\n",
      "1563/1563 [==============================] - 9s 6ms/step - loss: 2.0894 - accuracy: 0.4445\n",
      "Epoch 23/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 2.0685 - accuracy: 0.4498\n",
      "Epoch 24/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 2.0518 - accuracy: 0.4549\n",
      "Epoch 25/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 2.0278 - accuracy: 0.4579\n",
      "Epoch 26/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 2.0126 - accuracy: 0.4604\n",
      "Epoch 27/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.9900 - accuracy: 0.4658\n",
      "Epoch 28/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.9701 - accuracy: 0.4690\n",
      "Epoch 29/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.9594 - accuracy: 0.4736\n",
      "Epoch 30/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.9544 - accuracy: 0.4731\n",
      "Epoch 31/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.9438 - accuracy: 0.4772\n",
      "Epoch 32/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.9284 - accuracy: 0.4812\n",
      "Epoch 33/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.8919 - accuracy: 0.4903\n",
      "Epoch 34/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.8891 - accuracy: 0.4872\n",
      "Epoch 35/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.8805 - accuracy: 0.4913\n",
      "Epoch 36/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.8602 - accuracy: 0.4957\n",
      "Epoch 37/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.8507 - accuracy: 0.4979\n",
      "Epoch 38/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.8515 - accuracy: 0.4957\n",
      "Epoch 39/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.8263 - accuracy: 0.5050\n",
      "Epoch 40/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.8360 - accuracy: 0.5032\n",
      "Epoch 41/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.8093 - accuracy: 0.5081\n",
      "Epoch 42/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.8096 - accuracy: 0.5078\n",
      "Epoch 43/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.7967 - accuracy: 0.5125\n",
      "Epoch 44/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.7755 - accuracy: 0.5169\n",
      "Epoch 45/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.7983 - accuracy: 0.5103\n",
      "Epoch 46/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.7611 - accuracy: 0.5186\n",
      "Epoch 47/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.7729 - accuracy: 0.5160\n",
      "Epoch 48/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.7526 - accuracy: 0.5217\n",
      "Epoch 49/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.7523 - accuracy: 0.5226\n",
      "Epoch 50/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.7386 - accuracy: 0.5235\n",
      "Epoch 51/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.7293 - accuracy: 0.5253\n",
      "Epoch 52/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.7367 - accuracy: 0.5259\n",
      "Epoch 53/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.7139 - accuracy: 0.5291\n",
      "Epoch 54/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.7006 - accuracy: 0.5347\n",
      "Epoch 55/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.7135 - accuracy: 0.5305\n",
      "Epoch 56/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.6873 - accuracy: 0.5363\n",
      "Epoch 57/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6921 - accuracy: 0.5374\n",
      "Epoch 58/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6781 - accuracy: 0.5385\n",
      "Epoch 59/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.6926 - accuracy: 0.5351\n",
      "Epoch 60/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.6855 - accuracy: 0.5372\n",
      "Epoch 61/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6585 - accuracy: 0.5420\n",
      "Epoch 62/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6786 - accuracy: 0.5395\n",
      "Epoch 63/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.6519 - accuracy: 0.5407\n",
      "Epoch 64/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6610 - accuracy: 0.5457\n",
      "Epoch 65/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6386 - accuracy: 0.5494\n",
      "Epoch 66/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6532 - accuracy: 0.5421\n",
      "Epoch 67/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.6546 - accuracy: 0.5453\n",
      "Epoch 68/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6445 - accuracy: 0.5477\n",
      "Epoch 69/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.6267 - accuracy: 0.5518\n",
      "Epoch 70/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6290 - accuracy: 0.5517\n",
      "Epoch 71/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.6150 - accuracy: 0.5543\n",
      "Epoch 72/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.6207 - accuracy: 0.5529\n",
      "Epoch 73/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6166 - accuracy: 0.5559\n",
      "Epoch 74/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6094 - accuracy: 0.5551\n",
      "Epoch 75/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.6019 - accuracy: 0.5555\n",
      "Epoch 76/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.6134 - accuracy: 0.5524\n",
      "Epoch 77/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.6011 - accuracy: 0.5571\n",
      "Epoch 78/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5815 - accuracy: 0.5629\n",
      "Epoch 79/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.5783 - accuracy: 0.5633\n",
      "Epoch 80/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.6021 - accuracy: 0.5590\n",
      "Epoch 81/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5844 - accuracy: 0.5601\n",
      "Epoch 82/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5696 - accuracy: 0.5634\n",
      "Epoch 83/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.5656 - accuracy: 0.5659\n",
      "Epoch 84/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5855 - accuracy: 0.5599\n",
      "Epoch 85/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.5693 - accuracy: 0.5660\n",
      "Epoch 86/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5580 - accuracy: 0.5666\n",
      "Epoch 87/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.5736 - accuracy: 0.5651\n",
      "Epoch 88/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5542 - accuracy: 0.5659\n",
      "Epoch 89/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5552 - accuracy: 0.5692\n",
      "Epoch 90/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.5608 - accuracy: 0.5666\n",
      "Epoch 91/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.5633 - accuracy: 0.5684\n",
      "Epoch 92/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5583 - accuracy: 0.5681\n",
      "Epoch 93/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.5310 - accuracy: 0.5739\n",
      "Epoch 94/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.5482 - accuracy: 0.5717\n",
      "Epoch 95/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5494 - accuracy: 0.5717\n",
      "Epoch 96/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.5284 - accuracy: 0.5743\n",
      "Epoch 97/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5253 - accuracy: 0.5773\n",
      "Epoch 98/100\n",
      "1563/1563 [==============================] - 8s 5ms/step - loss: 1.5362 - accuracy: 0.5743\n",
      "Epoch 99/100\n",
      "1563/1563 [==============================] - 7s 4ms/step - loss: 1.5292 - accuracy: 0.5769\n",
      "Epoch 100/100\n",
      "1563/1563 [==============================] - 7s 5ms/step - loss: 1.5277 - accuracy: 0.5756\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.History at 0x7d9587c2fac0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train_images, train_labels, epochs=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "DRBrORaFIq7l",
    "outputId": "daf201ea-255a-45e2-80fa-c7e184766b87"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(class_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2LBogFeEJ2D5",
    "outputId": "86fbd2f4-635c-49ac-e383-b1669d3241f0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/keras/src/backend.py:5727: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a Softmax activation and thus does not represent logits. Was this intended?\n",
      "  output, from_logits = _get_logits(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 - 1s - loss: 2.7910 - accuracy: 0.3660 - 1s/epoch - 3ms/step\n",
      "\\Test accuracy: 0.3659999966621399\n"
     ]
    }
   ],
   "source": [
    "test_loss, test_acc = model.evaluate(test_images, test_labels, verbose=2)\n",
    "\n",
    "print('\\Test accuracy:', test_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "rIYL5aB_V3xw"
   },
   "outputs": [],
   "source": [
    "probabilifty_model = tf.keras.Sequential([model, tf.keras.layers.Softmax()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "MTrcqKlaWIDH",
    "outputId": "e24c59e3-1825-49c5-e396-706d2c82dd50"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 1s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "predictions = probabilifty_model.predict(test_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GJPB1SUEWNMv",
    "outputId": "a6c99363-934b-43a3-c4aa-492933ad273c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.00989903, 0.00989998, 0.01043808, 0.01008691, 0.01041268,\n",
       "       0.00996637, 0.00992555, 0.01010447, 0.00998866, 0.00990055,\n",
       "       0.00990531, 0.01009748, 0.01029969, 0.00990198, 0.00990521,\n",
       "       0.00992393, 0.00990736, 0.00990833, 0.00998436, 0.00994144,\n",
       "       0.00990362, 0.00997053, 0.00990252, 0.00992862, 0.01012811,\n",
       "       0.00995203, 0.00992049, 0.00996882, 0.00990301, 0.00991188,\n",
       "       0.0108042 , 0.00992013, 0.00990094, 0.00990876, 0.00991757,\n",
       "       0.01031144, 0.00990073, 0.00992917, 0.01030756, 0.00990438,\n",
       "       0.00995876, 0.00995999, 0.00991063, 0.00992133, 0.01028392,\n",
       "       0.01049319, 0.0101401 , 0.00989992, 0.0099016 , 0.00990532,\n",
       "       0.009971  , 0.00990912, 0.00989896, 0.00989894, 0.00991691,\n",
       "       0.0101184 , 0.00992889, 0.00990117, 0.00990041, 0.00998387,\n",
       "       0.00989988, 0.00990091, 0.00989897, 0.00996409, 0.0099183 ,\n",
       "       0.00995303, 0.00996771, 0.00991932, 0.00993881, 0.00992163,\n",
       "       0.00989961, 0.0099002 , 0.01080104, 0.00992444, 0.00993748,\n",
       "       0.00996125, 0.00991188, 0.0101951 , 0.01020952, 0.01053162,\n",
       "       0.00996156, 0.00991341, 0.0098994 , 0.00989902, 0.00992044,\n",
       "       0.00992475, 0.00989971, 0.0099091 , 0.00992745, 0.00998996,\n",
       "       0.01005146, 0.00991105, 0.00989955, 0.01003285, 0.00989906,\n",
       "       0.00993564, 0.00990099, 0.00991458, 0.01015285, 0.0100081 ],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "P4nfiGZ1WPdc",
    "outputId": "6cd789c4-2b96-4ff1-b774-1feb7dc68da2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.argmax(predictions[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GqjqRttvWTMI",
    "outputId": "b9a0c7a8-e5f3-4d9e-cb14-e3b319bff03b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([49])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_labels[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "OYVNzR1YWV_p"
   },
   "outputs": [],
   "source": [
    "def plot_image(i, preidctions_array, true_label, img):\n",
    "  true_label, img = true_label[i], img[i]\n",
    "  plt.grid(False)\n",
    "  plt.xticks([])\n",
    "  plt.yticks([])\n",
    "\n",
    "  plt.imshow(img, cmap=plt.cm.binary)\n",
    "\n",
    "  predicted_label = np.argmax(preidctions_array)\n",
    "  if predicted_label == true_label:\n",
    "    color = 'blue'\n",
    "  else:\n",
    "    color = 'red'\n",
    "\n",
    "  plt.xlabel(\"{} {:2.0f}% ({})\".format(class_names[predicted_label],\n",
    "                                       100*np.max(preidctions_array),\n",
    "                                       class_names[true_label]),\n",
    "                                        color=color)\n",
    "\n",
    "def plot_value_array(i, predictions_array, true_label):\n",
    "  true_label = true_label[i]\n",
    "  plt.grid(False)\n",
    "  plt.xticks(range(100))\n",
    "  plt.yticks([])\n",
    "  thisplot = plt.bar(range(100), predictions_array, color=\"#777777\")\n",
    "  plt.ylim([0, 1])\n",
    "  predicted_label = np.argmax(predictions_array)\n",
    "\n",
    "  thisplot[predicted_label].set_color('red')\n",
    "  thisplot[true_label].set_color('blue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "G0igzUFjYBUm",
    "outputId": "2db6b124-36b9-4d65-ca8a-fdaa80274ac9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([49, 33, 72, ..., 51, 42, 70])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_labels = np.asarray(test_labels).reshape(-1)\n",
    "\n",
    "test_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 291
    },
    "id": "EJxbPXNBYJiO",
    "outputId": "9f292864-8e1a-4fb9-bb0c-fc6fc52ac509"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 0\n",
    "plt.figure(figsize=(6,3))\n",
    "plt.subplot(1,2,1)\n",
    "plot_image(i, predictions[i], test_labels, test_images)\n",
    "plt.subplot(1,2,2)\n",
    "plot_value_array(i, predictions[i], test_labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 291
    },
    "id": "xixjeJTrYemz",
    "outputId": "55a24fdb-30d3-4803-c831-79cb76e0cf49"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ipLb98IG35DEVuVCEJxUBMXCFManWNnFMuWIo6CE8X91hlwwFTYhofuMMmYiIyAIMyERERBZgQCYiIrIAAzIREZEFGJCJiIgswIBMRERkgaZyRkYmCoiVGnM5sjl9ukhhMi9ua2JSn6ZkLFpg+PyQbF+g316uWxxT8eQ0KinjKDSkrSghPceQIWQsPCGdCkMtCChDr5JOrdghF28wpaeFhu2FxYK2ffTgHnGM6flKx2cSxJPadjcuF5DIF8blY1D611ChMXWuVGHaExHpcYZMRERkAQZkIiIiCzAgExERWYABmYiIyAIMyERERBZoapW15/rw3MbiEh25tPbxO4UCEoBcDMK0otbz5N5MQl8MIjCtOg71xwBAXBptKhQRuvrPN2JNBwCmwg7S6my56AQAocAFADhSn3nZtr7ZNMaV31aToyPa9tFD++TNGVZSi+UyTKcopl9dXyzL74diXl8UAwB8L65t173upZJxzT0RzWOcIRMREVmAAZmIiMgCDMhEREQWYEAmIiKyAAMyERGRBRiQiYiILNBU2tPoeAFB0FhAoaOzQ/v4vQf1KS4AUCjqb7Lve/r0JQBIZ1rFvtYWfYELx5DaJGQpAQCKZX16ijKk4DjCBj1DAYmKIQsmDPW5O0Itg+gYTJ2hvi9U8kFUQuE8GNKKHF/uPLJvp7Z9cuSwOMY1vCfEV8NQc0La3vjIAXFMIt1i6OvSthc1hTTKRbngChHNb5whExERWYABmYiIyAIMyERERBZgQCYiIrIAAzIREZEFGJCJiIgs0FTa06+2/w6uJrXntTf3aB+/b/9+cVuuq089kVKHACCXS4p9+ZGD+g5DmlJrR6fY5wjjlHDcAFBUjSlhAFAq61O8TPsBAF/4vGSqZFQp648BAJSQqxSKdaUAKX9ISskCAKciH8OhoVe17eWCXBnMMaSNSafPNYwJEiltu4fGNKWqcnFc7Csm9Sl3hbIm7UnTRkQEcIZMRERkBQZkIiIiCzAgExERWYABmYiIyAIMyERERBZoapV1sVSAq1nWOnJIv5p6fHxM3Ja4OtaTD6mvKyf29ab1K3tdHBHHhMOjYl9bq75gQL4kr0hOCEULwiAujinkJ8W+YkG/ItePp8UxhsPDeEG/MtqNx8Qxrh9o2z3Iq6yLebmAwviBvdp206pt1zMsKxeer5+Qn1OmTV8oInDKhv3IfeWC/n3kad7LyjOtaCei+YwzZCIiIgswIBMREVmAAZmIiMgCDMhEREQWYEAmIiKyAAMyERGRBZpKe1q+ZAF8TWpPNqsv+rD9xVfEbY2MC6kxQgEEACjm5SINmUxW254I5GIQrqFKgyoPa9v37dIX0gCAI2P6Agmd3R3imLAkpz0dOXhI2+4ZCnB4qXa5LzOobQ8S8jkqFfXpPrqUniq3JKc9FcaEVDhDZpOpTyqYESTl1LCUkOaVH5ZT5IKk3JfMtGrby6rxvErHS0TEGTIREZEFGJCJiIgswIBMRERkAQZkIiIiCzAgExERWYABmYiIyAJNpT39/o2DcHUpN0L60OiIPg0IAHxf2LVQBQoAXh/aLfbt2PWWtj1fkjfY39Mp9q1YukDb3tctj4nFh7Xt5eK4OObIqNwXJPXpUuWCnCrlleWqRB0ZfXqTJjunxokLr5MvD9p1UK7ylR+T04fkg5BfQ0foi8flz5rFvP59mcjoq0ABQDKtT6sDAFfpKzh5qjFNT2naiIgAzpCJiIiswIBMRERkAQZkIiIiCzAgExERWYABmYiIyAJNrbJWqoAw1MRwYZVpGDZ/I33XsMx6bFRetS3tq1ypiGNePjIs9r32xi5t+8LBPnHMkoU92va2FnmFbiYVF/s86M9ruk0uVhGk2uS+jL7gQqlcFMeEwvlzHX2BBgAYeetNsa+Q168Qd1zD8noDabV+LJESxyRT+tejf/FycUy+Ih+fKha07br3sluSzzURzW+cIRMREVmAAZmIiMgCDMhEREQWYEAmIiKyAAMyERGRBRiQiYiILNBU2lOxWNbezF9OWWk+7UkZxlSE9CoAcF19sYPAkz9zKCXvS4X6VJbXXn9dHLNj505te2d7uzhm6cJ+sW/tGadp21NJOeWoEsrpOeVQnzbmhHLBg8nxEW17yfBaTBzWF/qIjkF/zn3D62RKiJKKS5QKcnpR3NO/7TNx+bxiUv9+AABHOPRSqfG5srgEEUk4QyYiIrIAAzIREZEFGJCJiIgswIBMRERkAQZkIiIiCzS1yjqbisN1G2N4oahfOZo3bk2/Ota08tm0ujibTGjbfV9eozuRL4t9FWE1cKkkjykKfQcPHRTHBK68veULu7Xt2bRc4CJhOEelsn5fbkJ+GyQc/ZixCcOra3gNoaTnG4hDwlBe0R0IxSUcQ8GM0cP61yPhGvaTls9roawf56rGwhyurjgLERE4QyYiIrICAzIREZEFGJCJiIgswIBMRERkAQZkIiIiCzAgExERWaCptKdcOg5Pl/YU6OP6xKScGiOlFbmOvkgEAGRTKbFvUa++gENLTh7jCykzgJxOM1mU05RK5cY0FwCIx+WUntaMPl0LAOJCStTogb3imIThHPlxfV+yJSeO8UL9c9q3T07lGhkZF/ukz4BSkQgACIX3CgCkkklt+5LBBeKYXfv2a9uHd+8Qx2SzabEvmcho2xOpeENb0ZdTq4hofuMMmYiIyAIMyERERBZgQCYiIrIAAzIREZEFGJCJiIgswIBMRERkgabSnvbsPyykp+hTVopCFSgACIWKQBVXn2YDAAcPD4t9QuYVjozJqVcthpSjgd42bfvyxb3iGN8TTqchpcfXpJFVlUpCFa18QRxz+KA+pQcAAl+fflUYHxPHtHd1adtb2zrEMfmiXGkJ0L/u0vsBMKc9OdCnEWUScqpZqaB/T/z+pZfEMa0ZfXoVAAwuXqJt71mwuKGtwGpPRCTg/w5EREQWYEAmIiKyAAMyERGRBRiQiYiILMCATEREZIGmVln3DwzC8xqLP0wKq35zwiphQF5BXC7LxRuShiINIxP6lb3D4/KKZKBV7Oks6gsu+H5MHCMtmC6X5OdUrMgriFWoX52tDPUJ/MBQMCOmP/ZyWV4VPTF6RD+mII8xrYrWvX8AwPfkz4ahYWVyR6u+6MOiPn2xEQDYs/+Qtr0tJ6+kPm2RXKyirU3/Xok5je9xXRsREcAZMhERkRUYkImIiCzAgExERGQBBmQiIiILMCATERFZYE6rrNXUfYYrFf19psNQv+xXaj/eY4zbM9wjWXo+AFASVkYXDPfnPpZV1qbPREpYrWw6hlC4tzMAKHFf8jH4wmpq4zEYXiclvB5S+9H6KhX9voqGFf7S614uy+8H0/akc6HQeO4KU/f5Nj0nIpqfHDWH/xl27tyJwcHBE3E8RPPC0NAQBgYGTvZhGI2MjKClpQVHjhxBLqdP7SKio5vrv6U5zZD7+/sxNDSEbDYrVHsiorlQSmF0dBT9/f0n+1CIyDJzCsiu61r/aZ7o7aKlpeVkHwIRWYiLuoiIiCzAgExERGQBBmQiIiILNFVcgoiICDt2AAcOAJ2dwMKFJ/toThmcITfjiSeA1lbzY+6/H1i71vyYD34QuPLK43FEJ9ZjjwGbNp24/T3zTHQuDXnNRHSC7dgBnH46sH599OeOHXMaMoeHzXucIZ8MjzwCzEz/vvDCKPB86UvNbeett4BPfQp44QXg1VeBu+5q3MZ//AfwkY8Ae/YAV1wRBdVqGcYjR4Bzzokes2iReV/5PPAXfwH88z83d4x/jC1bon1++9vAjTeeuP1SU+65556jPubBBx/EPffcc9Q/j4cTsS+b9nGin0//nj24K58HANyzdSvw1a8atz0y0oLHH78XALB166n5HjheGJABoFicDlInwvFKeykUgK4u4M//HPjiFxv7wxC44Qbg3nuBzZuBq68GvvEN4KMfjfrvuQf4sz87ejAGgO9/H8jlgPPPPz7HPlcf/CDw5S8zIJ8E1XsGjYyMGB9XKJhqjqO2jUKhcNQ/j4cTsS+b9nGin0++WET1HTGX/Q4Pe8jnR2qPPxXfA3N5LDCHO/Sp+ei971XqIx9RautWpTo6lLrwwqj9oYeUOuMMpVIppQYGlLrjDqVGR6fHPf64Ui0tSj39tFKnnaZUPK7Upk1K7dgx/Zj77lNqzRqlvva1aBvJpFLXXKPU8PD0Y26+Wakrrpj+ezRfnv55/fVje05bt9a37d0bbW9yMvr9M59R6s47o7//9KdKrV+vVLk8t+1fdplSd99d3/bDHyp1zjnR+WppUeq885R6443p/n/5F6XWrYvO05IlSt1/v1Kl0nT/0c63Ukq9+Wb0HF59dW7HScfN0NCQAsAf/vDnOP0MDQ0Z/83N3++Qv/nNaFb8058CX/ta1Oa60WzsxRej/ueeAz7zmfpxExPA3/wN8K1vRWOHh4Hrrqt/zKuvAt/7HvCv/xp9D7ptG3DnnfrjeOQR4F3vAj784egS9FtvAcfrNqVdXUBfH/Dv/x4d949/DJx5JlAqAXfcAXz964DnzW1bP/kJcPbZ07+Xy9H34O99L/A//wP8/OfAbbcB1Tu5/fjHwE03AVu3Ai+9FO3riSeic1c1l/O9cCHQ0xNtj06o6h36hoeHceTIEfFnaGgIAPDSSy819eexjDnWP0+VfZxqz+dUOWdDQ0PGfyPDw8MYGho66h365u8l63e8A/i7v6tv+/jHp/++eDHw138dXdKd+R1JqQQ8+ijwzndGv3/zm8DKlcDzzwMbNkRt+XwUsBcsiH7/yleAyy4DHnoI6O2t32dLS/TBIJVq7PtjOU70weATn4gC4/veB9x6K/Dgg8BFFwGJRHQJ+sAB4GMfm76UPdvwcPR988w308hI1Pb+9wPLlkVtK1dO9z/wQHRJ/Oabo9+XLgX+6q+igHvffVHbXM43EO33zTf/iBNBx6LZO/Rls9mm/jyWMcf656myj1Pt+Zwq5yyXyx31fu9zuUPf/A3I69c3tv3gB8DnPw/87ndRwCmXo+A6MREFTADw/WghVNWKFdHK69/+djogL1w4HYyBaAYchsDLLx//oHs073438KtfTf/++99HHxa2bQPe854oUF96KXDGGdHvZ57ZuI3JyejPRGK6rb09+n5382bgkkuAjRuBa6+NZuQA8N//HV1BmDkjrlTqz+dczjcAJJNRGxHRKWz+XrJOp+t/f+ONaLZ35pnAU08Bv/418A//EPUV9SUI35Zuvz2aqYdhFJSvuQbo7o4uPf/oR/oxHR3RbPvw4fr2xx+PLlWfdx7w3e8Cy5cDv/hF1Dc2Fs2St2+f/vnNb4BXXokCezPn+9Ch6PI7EdEpbP7OkGf79a+jIPXQQ9OFjb/3vcbHlctRmlF1Nvzyy9El3ZmXa3fsAHbvnr7E+4tfRNs8/XT9vmOxaPb4f+2xx6KZ7eWXTwfXap3fUkk+hlgMWLUq+i54dh7yunXRz733RlcCvvMd4NxzgbPOis7NaafptznX853PA3/4Q7QPslI8Hsd9992HXC435z8/+9nPAkBTY471zxOxLz4fO/dxovYVj8ePzz+mE7Rg0y66Fcnbt0ereb/0JaX+8AelvvUtpRYsiNoOH44e8/jjSgWBUhs2KPWLXyj1wgtKnXtu9FN1331KpdNKbdwYbfM//1Op5cuVuu666cfMXGWtlFIf/nC0Wvn115Xav1+pSmXuz2Xbtuhn/Xqlbrgh+vuLLzY+bu9epRYvVmrXrum2lSujlc8/+5lSmYxSzz8v7+eTn1TqT/90+vfXXlPqnnuisW+8odS//Vu0Yv2rX436n3lGKd+Ptv+//6vUSy8p9eSTSn32s1H/XM63UtFK7kxGqfHxuZ8TIqK3IQbkmR5+WKm+vihVafPmKEjMDsgtLUo99ZRSS5dG6TwbN0apOVXVtKevflWp/n6lEgmlrr5aqUOHph8zOyC//HIU1JPJ5tOegMafRYsaH3fddUp95Sv1bb/8pVIrVijV3q7UAw+Y9/Pii9HxVdO39uxR6soro/MVi0X7/Nzn6j9MPPNMlAqVTCqVy0UfZL7xjen+o51vpZS67Talbr997ueDiOhtylHqaJnKRFOuuSa6FH3vvSdmfwcORJf5X3gBWLLkxOyTiOgkmb+Luqh5X/gCkMmcuP298UaUAsVgTETzAGfIREREFuAMmYiIyAIMyET0R/nEJz6BIAjgOA4cx4HrugiCAJlMBgMDA7X2Zn5SqdQxjXs7/iQSiaM+Zub55Y+9P57nIRaLYcuWLXjllVea/rfEgExEx+y73/0uHn30UbS1teGGG24AAPi+jw0bNiCXy2HhVPH67u5uBEGAJUuW4Mknn8T73vc+BEGADVP5/LGpamsrp/L581Pl/U6bymP3pu653jvjTnczb4kIAI7jYO3atfB9H47j1Npn39LQ96dvvxCPx2sBcbZ4PI61U7XNY0epBle9xWg1H3Xm9lzXrQXVIAgajqFQKMB13bo213Vrx5VMJlEul+ue5+DgIGKxWO2DC4Datl3XhTuV259KpdDZ2YlMJoNkMlk7j1VLly5Fa2trw20dZ+bV+r6PWCxW2+aiRYuQyWSQnnFzpWQyCd/3ce655+L6668HACRm3tlP451Ttx/OTK1LmX1sALB48WLjNma/Bzo6OsTHxuNxdHd3G7dXPZeZTKb2mgGoPffq76tWrUIqlcKmTZvQ1dWFnp4eAMBtt92GytT9HDZu3Ijx8XHj/mZjQCaiY/bwww/j9ttvx759+/Dtb38bQPSf2UUXXYS33noLS5cuBRD9J55MJnH55Zfjuuuug+M4uPHGG3HO1G1o7777bgBA19Qd2ar/MX7hC18AAPz93/89gOg/uarR0dG6Y1m6dCm2bduGZcuW1ZW5+9pU8ZhqACiXy9i6dSsA4N5770U+n8dNN91U95izzjoLhUIBjzzyCADgoosuqh1XOp1GOp1GasbtXa+55hq0tbXhlltuATD9HzgArFmzBo7jIAzD2nFVKhUsmLq97sDAAMIwxNlnn10LyoODgyiVSjjrrLMwWb117ZR4PI7+/n6Uy2WsXbsWSimsWrUKpVIJQRCgr68PYRgCACYmJtDW1oYtW7ZgcnKy7rx0dnbimmuuwRlnnIGJiYlaYFy9enXtdWlvb0e5XMby5ctx89R96RcvXoy1a9fi0ksvrW0rDEOsWbMGP//5z9Hd3Y1YLIbTZ9wIqaenB11dXWhra6s9x76+PixbtgwXXHBBbRtVjuMgm81i9erVtbYgCJBKperObSwWQ9/U7XpbW1sRj8e1H4oAYMOGDTh48GAt8Fcf197eXntM9fyMj49j8eLFtQ9C1WMLwxCpVAof+MAHsGLFCvzXf/0Xrr/+euzduxcbNmzAP/7jP2Lt2rVYv349Jicn8eSTT6IpJy3hioje1gqFgvI8Tz399NO1NgDqwgsvVBdffLECoPr6+hQA5Xme8jxPZTIZ1dHRofr6+lR7e7tqaWlRANQdd9yhAKiPf/zjdeXqnn76aQVAff3rX1cA1AUXXCCWtovFYmpgYEDFYrG69ltvvVUBUPfdd1+t7fOf/7wCoG666SYFQLW1tSkAKggCBUCl0+m6P6v91ecSBIHyfb/WtmXLFhUEgbryyisVAJVIJGp9rusqAMpxnLrjqj73RYsWKQCqs7NTxeNxBUBlMhmVTqdVT09P3Takn5nbnr2fuYyXfjzPq42fuY3qeZp9DC0tLcpxHJVMJusef/311ysA6pZbbqkdXyqVUg888EDtHM8+bsdxauej+rN8+fK6xw4ODtbt5/zzzxefSyaT0e6neo5nt69YsUK7Hdd1VSwWU77vqyAIVH9/vwKgHnroIfXcc8+pTCajfvSjH6mBgQF18803N/VvigGZiI7Jrl27FAD1s5/9rNYGQF100UV1/6nefffdKhaLKcdxVDqdVr29veqLX/yiNkg89dRTxoC8Zs2ahjHXXntt7T/Krq4ulclk6oJl9ef000+vBcJzzz1XAVCLFy+uBYRqUD+WwHW0n1gsplKpVC3AzfypBm/f92sByPf9uqA+M1gkEgnluq52W11dXXXPIQiCusdVg8mxPAddoAeguru7G/rf//73NwQx13VrH1iqj//ABz5Q97jNmzf/n5z/6rnQfZDQPTfpuc7u7+joqGsLgkA99thj6sEHH1QA1KZNm5r6N8VL1kR0XL322mvwfR+tra245ZZb8MQTTyAMQ2SzWdx4442YmJjAb3/7WziOU7vsW60Te/XVVxu3rWZccv3Upz4FAHj22WcBRJdSL7nkEoyNjaFSqTR8L/vKK68gHo8jnU7j9ddfBwDs2bMHk5OTiMfj2LhxY+0yZzwex1/+5V8CqP++dybP82qXeauX5oHo+9Tqd4pAdLm2VCphYmKi9v3iTNXvb5VStfOQzWaRz+drC4Vmfje6bNkyXHnllbVtzTyP+/fvRxiG6OzsBBB9BVCpVOB5HlKpFFatWlX3fXT18m/1ec++zFv9PZlMas9BIpHA8PAwgOj76url4+3bt9fOERBd6g3DEM899xxaW1sBRJfln3nmGbiui3Xr1qGnpwc//OEPa/tra2vT7nOmtra2umOuHqfv+7UFVlWlUgml6r37Z1Gzsn9n/z5bdbuVSgWO46CzsxPLly9HqVTChz70IXz/+9/HpZdeWnd5fU6O5ydmIpo/pEvW8XhcnXnmmQqILnnqLqfOvhRcnQn39vbWzURmz5Bnzkh0M+yZs8GlS5eqWCymLrzwwtostaOjQ6XTaXXJJZfUZqKzt1H9efe73133e/US83nnnad6e3vVggULarPNTCZTd3n1aDOs4/kTj8drl4QXLFigurq6arPr2TPp2cc1e5bteZ5qb2+vja8+ftGiRcd82bt6HBs2bFDA9CXimV8D6I5t6dKldb/39vY2zPZd1619PTLzioL0XNvb22u/V9+D73rXu1R/f7/yfb/2/ovH4w2Xy2f+JJPJuisNa9asUUopNTw8rG644Qa1efNmtWHDBnXnnXc29W+KM2QiOiaxWAzr16/Hs88+C6UUPvrRjwKIZk1XXXUVfvOb32D79u04++yzsWDBAmQyGVx77bXI5XIoFosIgqBu4Q/QOEOrqi7gmjm7e/jhhwFML8pxXbe2QCiRSGDXrl3o7e3F888/DyCa9R48eBDvfOc78ctf/hJANBPasmULurq6cNlll9UWla1evRp33XVXbV++7yOXy8FxHIyMjMB1XeTzeRSnSoUGQYB169bh8ssvx4YNG3DZZZfVxnZ0dNRmzL7vw3VdZLPZ2gKy6ux29erVtdlydUa7YsUK9PT0YN2Mame9vb0466yzar9XKhWsWLGi9vfh4eHaKvUwDJFMJvHJT34SuVwOH/vYx+rOa3V1eJXneejq6qqtJlZTM8XJycnaavXqjLC1tRVdXV212aLv+3Urq6u/O46DXC5XW3S2d+/e2jnr6urC7bffjs7OTnzoQx+qjQ2CABdffHHdsWWzWSilaouxqgutqlcKlFK1qyLt7e246667aivuPc9DX18fDh06VNt+sVhENpvFtm3b0N3djXK5jPPPP7/WH4vF8OlPfxrZbBaf/vSna+9N13Vx66231l77dDqNVatWAYiudmQyGYyOjuKFF17AFVdcgaYcn8/KRDQf/dM//ZOKxWLqnHPOUalUSgHRd3WPPvqoevLJJ9XZZ5+tAKj777+/NstsbW2tfZd33XXXKQDqnHPOqc3EMDUDwYxZavXxM2fIs2ew0MyKXNet+94wm82qeDxee1xPT4+Kx+Nq9erVyvf92qyt+n337FlS9bhm/1RnWytXrlRA/XfR1ZnlzNn4aaedVjs3AFR7e7v6kz/5k9pxdXV1qdbWVnXVVVep5cuXq9bW1tpjM5lM3WzV933V0tKincE6jqNisZhqb29XsVisYUY8lwVg1edWba8eS3Uxk2n8GWecoRKJRO18zNx/KpVSGzduVN3d3WrTpk0NM3nXdRvOf/UqxczXU3esvu83PLdYLFZ3bOl0uvaenX3csVhMtbS0qM7OTtXR0VF77arbDIKg7jW+5ZZb1He+8x31t3/7tyoIAtXe3q6uuuqqpv898daZRPRH2bp1K7785S9r+3K5HHzfx9jYGMIwhOu6CMOwbqZ7qqt+l1ksFmvf51ZndUEQoLOzE3v27DF+b5lIJFAoFI763ebJ5vt+3Wsbj8dRKBRO4hH93wiCAGEYolKp4D3veQ+2b9+OkZERANH32nfeeSc+97nPHTV/fTYGZCIiIgvwO2QiIiILMCATERFZgAGZiIjIAgzIREREFmBAJiIisgADMhERkQUYkImIiCzAgExERGQBBmQiIiILMCATERFZgAGZiIjIAv8fP54XfqDiOHkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 600x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 10\n",
    "plt.figure(figsize=(6,3))\n",
    "plt.subplot(1,2,1)\n",
    "plot_image(i, predictions[i], test_labels, test_images)\n",
    "plt.subplot(1,2,2)\n",
    "plot_value_array(i, predictions[i], test_labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 291
    },
    "id": "VKZhR4xHZBBL",
    "outputId": "e63f4051-e099-417a-9f14-47b42484e7bd"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 20\n",
    "plt.figure(figsize=(6,3))\n",
    "plt.subplot(1,2,1)\n",
    "plot_image(i, predictions[i], test_labels, test_images)\n",
    "plt.subplot(1,2,2)\n",
    "plot_value_array(i, predictions[i], test_labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 830
    },
    "id": "NZJBYbOiZD3p",
    "outputId": "e7a50b59-1fb8-4e9d-f99a-e2ca3b4517b9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 25\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(1,2,1)\n",
    "plot_image(i, predictions[i], test_labels, test_images)\n",
    "plt.subplot(1,2,2)\n",
    "plot_value_array(i, predictions[i], test_labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "IPQqQtScZHMo",
    "outputId": "0fc85279-d18f-4401-b40b-5556a01c534e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(32, 32, 3)\n"
     ]
    }
   ],
   "source": [
    "img = test_images[1]\n",
    "\n",
    "print(img.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "LlL2ASA-ZRpZ",
    "outputId": "17576d51-9429-4324-a597-d248db000ccf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 32, 32, 3)\n"
     ]
    }
   ],
   "source": [
    "img = (np.expand_dims(img, 0))\n",
    "\n",
    "print(img.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "sxQPntT9ZYgz",
    "outputId": "50f0bd05-c1cf-41e3-e604-dfec0b9563da"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 395ms/step\n",
      "[[0.00990303 0.00989898 0.00990417 0.01014298 0.00997506 0.00989762\n",
      "  0.00990057 0.00989654 0.00990184 0.00990624 0.00989677 0.00990377\n",
      "  0.00993381 0.00989848 0.00989661 0.01024842 0.00989817 0.00991097\n",
      "  0.00991368 0.0099502  0.0098964  0.00989831 0.00989665 0.00989713\n",
      "  0.00989663 0.00990174 0.00989707 0.00994927 0.00989667 0.01008203\n",
      "  0.00989725 0.01099447 0.00990876 0.01176289 0.01000349 0.00991197\n",
      "  0.00995994 0.00994369 0.01017339 0.00989767 0.00989741 0.00989647\n",
      "  0.01004441 0.00991563 0.00990028 0.00990991 0.00989835 0.00994037\n",
      "  0.00989635 0.00989668 0.00990703 0.01000368 0.00990343 0.00989637\n",
      "  0.00989894 0.00990359 0.01100614 0.00990869 0.00989663 0.01018999\n",
      "  0.0099007  0.00989636 0.00989638 0.0103515  0.00990118 0.01008468\n",
      "  0.00991575 0.00990033 0.00990956 0.00992506 0.00989674 0.00989772\n",
      "  0.00998466 0.00989801 0.0099125  0.0098965  0.00991521 0.00992759\n",
      "  0.00989717 0.00990524 0.01111796 0.0099066  0.0098981  0.00990107\n",
      "  0.00989795 0.00993956 0.00989636 0.00989755 0.01006808 0.0100426\n",
      "  0.00990334 0.00989779 0.00989671 0.00990247 0.00990727 0.00989635\n",
      "  0.01130668 0.00996318 0.00989748 0.00989637]]\n"
     ]
    }
   ],
   "source": [
    "predictions_single = probabilifty_model.predict(img)\n",
    "\n",
    "print(predictions_single)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 495
    },
    "id": "7C5Dxl0rZgh8",
    "outputId": "811d8d27-2e6a-43de-a7c0-e36e9e171dc9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_value_array(1, predictions_single[0], test_labels)\n",
    "_ = plt.xticks(range(100), class_names, rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "52zElbVpZwyY",
    "outputId": "a01a154a-ef6b-434d-8949-76f525952091"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "33"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.argmax(predictions_single[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "TMuAPbZWaKt1"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}