8-2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VsZV03UD5Qb5"
   },
   "source": [
    "# 합성곱 신경망을 사용한 이미지 분류"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MiG7uEQF5QcA"
   },
   "source": [
    "<table align=\"left\">\n",
    "  <td>\n",
    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/8-2.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />구글 코랩에서 실행하기</a>\n",
    "  </td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fQSb0wK85QcA"
   },
   "source": [
    "## 패션 MNIST 데이터 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BGJBttQs5QcA",
    "outputId": "7312d494-5253-4823-9822-33295351e6cd"
   },
   "outputs": [],
   "source": [
    "from tensorflow import keras\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "(train_input, train_target), (test_input, test_target) = \\\n",
    "    keras.datasets.fashion_mnist.load_data()\n",
    "\n",
    "train_scaled = train_input.reshape(-1, 28, 28, 1) / 255.0\n",
    "\n",
    "train_scaled, val_scaled, train_target, val_target = train_test_split(\n",
    "    train_scaled, train_target, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Y4m7l2115QcB"
   },
   "source": [
    "## 합성곱 신경망 만들기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "wubmkM6q5QcB"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-01-08 04:53:04.466281: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    }
   ],
   "source": [
    "model = keras.Sequential()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "fcuXinil5QcB"
   },
   "outputs": [],
   "source": [
    "model.add(keras.layers.Conv2D(32, kernel_size=3, activation='relu', \n",
    "                              padding='same', input_shape=(28,28,1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "ddZAIUwJ5QcB"
   },
   "outputs": [],
   "source": [
    "model.add(keras.layers.MaxPooling2D(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "6NbO08605QcC"
   },
   "outputs": [],
   "source": [
    "model.add(keras.layers.Conv2D(64, kernel_size=(3,3), activation='relu', \n",
    "                              padding='same'))\n",
    "model.add(keras.layers.MaxPooling2D(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "sxlx0yyS5QcC"
   },
   "outputs": [],
   "source": [
    "model.add(keras.layers.Flatten())\n",
    "model.add(keras.layers.Dense(100, activation='relu'))\n",
    "model.add(keras.layers.Dropout(0.4))\n",
    "model.add(keras.layers.Dense(10, activation='softmax'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "1CFKlE-B5QcC",
    "outputId": "c6bae36a-5df6-4e7a-ab21-aec521d67a47"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " conv2d (Conv2D)             (None, 28, 28, 32)        320       \n",
      "                                                                 \n",
      " max_pooling2d (MaxPooling2D  (None, 14, 14, 32)       0         \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv2d_1 (Conv2D)           (None, 14, 14, 64)        18496     \n",
      "                                                                 \n",
      " max_pooling2d_1 (MaxPooling  (None, 7, 7, 64)         0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 3136)              0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 100)               313700    \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 100)               0         \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 10)                1010      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 333,526\n",
      "Trainable params: 333,526\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 856
    },
    "id": "uO2xZfrF5QcD",
    "outputId": "54b42235-81eb-4fd3-9238-3fc8924d2c1b"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keras.utils.plot_model(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "FQTWlPbY5QcD",
    "outputId": "226d3b41-842e-4f2d-bcd4-553ce7530bdd"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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tG8Zftsnu4y/JvWMwxl+ei2u356MPjR04cECJiYlG8apVq7ohm6xl5/5j/AV7MTEAAAAAQKZNmzYZLWPr5+enhx9+2GU59O7dWwMGDDB57MqVK+revbtTl7q31po1a/T444/ryJEjBvEiRYpo+PDh2rZtmy5evKikpCSdO3dOGzZs0IABA4yezNu6davq1Kmj/fv3OzS/mJgYPfnkk1Z/YJ6SkqIXXnhBf/75p13tr1q1So0aNdIff/xhEC9btqwmTJigQ4cO6fr167pz547Onj2rZcuWqXfv3vL2Nvxz9ZdfftFjjz1mdz6wzvDhw3X16tXM1x999JFCQ0PdmBGsRR861x9//KEvvvjCKP7uu++afQLbFQ4ePGgUK1GihENvNIeHhxvFNmzYkK2u0Z6C8Zf1svv4S3LvGIzxl2fj2u356ENjpibASVKZMmVcnMmDZef+Y/wFezExAAAAAECmqKgoo1jZsmXl4+Pj0jymTJlicia89HeOo0ePdmk+5mzdulUdOnTQ7du3DeJPPfWUoqOj9emnn6phw4YqXry4/P39VapUKbVo0UKzZ8/WoUOHVLduXYNyV69eVcuWLY0+xP2ny5cvKyMjw+CrSJEiJs8dMGCAzp49K0l6+umntXjxYp09e1ZJSUmKi4vTvn37NHbsWAUFBRmVTUpK0quvvmrNj8RAVFSUOnXqZPRkyJAhQ/T777/rzTffVI0aNRQcHKyAgACVLl1aHTp00DfffKN9+/apbNmyBuX++usvtW7d2uRe3nC8devWaf78+ZmvGzdurMjISDdmBGvRh851+fJltWvXTqmpqQbx9u3b65VXXnFTVlJ8fLz27NljFO/bt69Dr+eVKlUy2fbhw4cd1kZuwfjLOu4af0meMQZj/OXZuHZ7PvrQtH9O5JKk4OBg5cuXzyAWGxurWbNmqWvXrgoPD1dQUJB8fX1VuHBhVa5cWU2aNNHo0aO1ceNG3b171+F5Zvf+Y/wFezExAAAAAECmo0ePGsVKly7t8jz8/f21ZMkSFSxY0OTxSZMmacWKFS7OylBsbKx69Ohh9GFEs2bNtGLFChUrVizL8hUqVND69euNZvzHxcWpW7duDvmQ4+eff9aPP/4of39/LV26VD/99JO6dOmi0qVLy9/fX4UKFVJERITGjBmjw4cPm9x7eu3atTYtsRsbG6uePXsqOTnZID5s2DBNmzZNefPmzbJ8rVq1FBUVpbCwMIP46dOnNWzYMKvzgXVu376tgQMHZr729/fX559/Li8vLzdmBWvQh86TkZGhJUuWqHbt2jpx4oTBsa5du2rRokVuyuxvK1euNHr6vECBAg5/7zQ3Pjh27JhD28kNGH9ZzhPGX5L7xmCMvzwb127PRx+ad/z4caNY4cKFM/995coVDRo0SGFhYRo0aJCWLFmio0ePKiEhQWlpaYqLi9Px48cVFRWl8ePHq2XLlipbtqwmT56spKQkh+ToCf3H+Av2YmIAAAAAgEym/lgvUaKEGzL5+4Pb//73vyaPZWRk6IUXXtDp06ddnNX/9O3bV3/99ZdBrFChQlqyZIl8fX0tqiMoKEjLli0zOv/QoUMaOXKk3TnOnj1bkjR//vwH7nVdunRpff7550bxjIwMm25yRUZGGv18wsPDNWnSJIvrKFWqlKZPn24U//rrr9lH0cnefvttnTlzJvP1O++8o8qVK7svIViNPnSM1NRUXb9+XSdOnNDy5cs1evRolS9fXl27dtXly5czzwsODtbnn3+u7777Tnny5HFjxtK0adOMYq+//rpCQkIc2k5oaKjRsuOSLHrqGoYYf1nOE8ZfkvvGYIy/PBvXbs9HH5pnaluVexPRVq1apapVq2rWrFlGE5uycvnyZQ0fPlzh4eH67bff7M7RE/qP8RfsxcQAAAAAAJKk5ORkgz+C73nooYdcn8z/6dChg0aMGGHyWHx8vDp37uyU5QMfZMeOHSafmBsxYoTZ5WTNqVy5svr06WMUnzlzZubys7ZKTk7Ws88++8APpO9p06aNyf2Md+/ebVW7O3fu1PLly43iY8eOlb+/v1V1tW/f3uSyxp988olV9cByu3fv1tSpUzNfV61aVW+++aYbM4K16EP77d27V15eXvLz81ORIkVUsWJFdejQQePHjze4VtaoUUOfffaZzpw5o/79+7v9ibKNGzcavWdXqlRJo0aNcnhbPj4+Cg4ONoqbuskN8xh/Wc5Txl+Se8ZgjL88G9duz0cfZi0mJsYoFhAQoNmzZ+u5555TbGxsZrxDhw5asGCBTp48qVu3bunmzZv6448/NGfOHDVt2tSontOnT6tBgwZ2rWrjKf3H+Av2YmIAAAAAAEl//zGdlpZmFL9/eT93mDhxoho0aGDy2P79+92yj7Opp658fHw0ePBgm+oz9T2kpqbq008/tam++7311ltWnd+iRQujmLVPX5j6+RQvXlwdOnSwqp57+vXrZxRbv349yyU6QUpKiiIjI5Weni5J8vb21pw5c+Tn5+fmzGAp+tA1AgICNGjQIE2cOFF9+/Y1uUe4q6Wmpmr48OEGMR8fH82bN08BAQFOadPUzdg///zTKW3lVIy/LOdJ4y/J9WMwxl+ei2u356MPs5aYmKjExESjeHR0tAYNGpT5cytZsqS2bt2qZcuWqUePHipfvrzy58+vwMBAVapUSZGRkdq8ebMWLVqkAgUKGNR1+/ZtdevWTfv377c6P0/rP8ZfsAcTAwAAAABIksEM/fv98w9uV/Pz89OiRYvMPjn3+eef65tvvnFZPufPnzf5JEL9+vVtfrqvVq1aJveWnTt3ru7cuWNTndLfS8HWq1fPqjI1atQwilnz5NyFCxdMPq3Wpk0bi5f4/admzZoZxTIyMvTdd9/ZVB/Mmzhxog4fPpz5etCgQXr88cfdmBGsRR+6RlJSkmbOnKmnnnpKoaGh6tWrl3799Ve35jRx4kQdOXLEIDZu3Dg1atTIaW2aGiNcv37dae3lRIy/LONJ4y/J9WMwxl+ejWu356MPs2ZqUoAk3bhxQxkZGZKkYsWKafPmzRaNW7p27aoVK1YYrYaSlJSkTp06KS4uzqr8PK3/GH/BHkwMAAAAACDp7xn2puTLl8/FmRgrWbKkvv32W5N76UnSwIEDFR0d7ZJcNm3alPkkwf1atmxpV72tWrUyit2+fVs7d+60uc4GDRpYvax12bJljWJJSUlKTU21qLy5n0/z5s2tyuN+VapUUWBgoFF8+/btNtcJY3/88Yc++OCDzNclSpTQv//9bzdmBGvRh47z6KOPKiMjQxkZGUpLS9P169d14sQJ/fDDD/rXv/5lsP97YmKiFixYoAYNGqhnz54ml8p1tl9//VVjx441iLVr187qJ5atZWqMcOvWLae2mdMw/rKMJ42/JNePwRh/eS6u3Z6PPnwwS7afmTJlisktVcxp1qyZya2Szpw5o48//tjiejyx/xh/wR5MDAAAAAAgyfwfks5aftharVu31ttvv23yWGJiojp16uSSP4ajoqJMxsPDw+2qt0qVKla1Z4lq1apZXcbcU3c3b960qLy5fKtWrWp1Lvd4eXmpZMmSRvFdu3aZ/BAc1svIyFD//v0NPrSbPn16tlgeHZahD53H29tbwcHBqlChgtq3b69Jkybp9OnTmjdvntHPd+HChapbt67LbpZK0qVLl9S1a1eDm4e1a9fWwoULrb4xaS1TYwQ+mLYO4y/LeNL4S3L9GIzxl2fi2u356EPLmNoy536PPfaYunbtanW9o0aNUrFixYzi06ZN040bNx5Y3lP7j/EX7MHEAAAAAACSzP8h6ePj4+JMzBs7dqzJ/Velv2f6R0ZGOj0Hc0tFV65c2a56zZW3Z2nqsLAwq8vkzZvXZDw5Odmi8ubytebpD1NMfeCTkJCgEydO2FUv/jZ79mxt3bo183WnTp303HPPuTEjWIs+dC0/Pz/17dtX+/btU5kyZQyOnT17Vk2aNLFqGxZb3blzR88++6wuXLiQGStTpoxWrVrlkqXoTY0REhMTM5cFxoMx/rKMJ42/JNePwRh/eSau3Z6PPrSMn59flsdfeOEFm+oNCAhQ9+7djeI3btywaNsTT+0/xl+wh20bDMHpihYt6u4UACBXM7WXHgDkdElJSSbj5paPdQdvb28tWLBAtWrV0qVLl4yOL1q0SA0bNtSwYcOcloOpdiUpNDTUrnrNlTfXniVMLf/6IPY+oWguX2c9dRETE6NKlSo5pe7c4uLFiwbLcBYsWFBTp051Y0awFn3oPg8//LCWL1+uBg0aGOxJHhsbq86dO2vnzp1Ou8H7/9m77/goqv3/4+9NAgECIQESFAQEpRcxKEF6E1BApdkoeq1UQblc8YsFseK1gAKKYoGLgoAdFUQIQUQJIHABkaKI9CQQCAGSkGR+f9yH+bnObNiW7O7k9Xw89vFgP7Nz5pM9yexh5zPn5ObmauDAgdq4cWNhrEaNGlq5cqVXFyW9YfWzGYahnJycoLnjPdgx/nJPKI2/pJIfgzH+Cj18doc++tB9kZGRRW7v3bu31233799f06dPN8VXrVql+++/3+V+odx/jL/gi+AZYQIAAAAIKFf/gQy2qULj4+O1cOFClxda/vnPf2r9+vXFcuyCggKXUxJGRUX51Lar/Y8fP+51m67uPCuKL9NOFxQU6OTJk17v7420tLQSPZ4djRo1yun3+oUXXtDFF18cwIzgKfowsFq2bKlRo0aZ4hs3btQHH3xQLMfMy8vTbbfdpq+++qowVr16da1cuVKXXXZZsRzTitUYweFwXPACAP4/xl8XFmrjL6lkx2CMv0ITn92hjz50X+XKlV2e4ypXrqxLL73U67ZbtmxpGU9OTi5yv1DuP8Zf8AWFAQAAAAAkyeWUwxdaDzAQOnbsqGeeecZyW25urm6++Wafv9C1kpGR4XJ6vgoVKvjUtqs7y06cOOFTuyWpqPenuKSnp5fo8exmyZIl+vTTTwufd+jQQffee28AM4Kn6MPgMH78eMsLplOnTvX7sfLz8zV06FB9/PHHhbEaNWooOTlZjRo18vvxLpTL31WoUMGnIrPShvHXhTH+Khrjr9DDZ3foow89Ex4erpiYGMtt9evX96nt6OhoXXLJJab4sWPHXBaVhXr/Mf6CLygMAAAAACDJ9R1TOTk5JZyJe/71r3+pT58+ltv++OMPDRkyJKTW2AulXD3lcDhUUFAgwzD8/gilL3CCzalTp5ymfY6MjNSbb77JF0ohhD4MHhdddJGuuOIKU3zHjh3av3+/346Tn5+vIUOGOK2bW7t2ba1Zs8bntda9YTUNvqsL3bDG+CuwQilXTzH+Ck58doc++tA7Vhfvpf/NGOCrKlWqWMatitXs0H+Mv+CLiEAnAGvfffedy5MZAMD/OnTo4HRHwHvvvaerr746gBkBsKOnn35aCxYsCHQaLrn6j+SZM2dKOBP3OBwOzZs3TwkJCfr9999N25ctW6ann35ajz32mN+OGRsbK4fDYfkl8tmzZ336z3hWVpZlvGrVql63WdJiY2MVFhZmmtrQMAydPXvW5+l+4V87d+7U0aNHC5/n5OSocePGfmv/2LFjRX7BFh4erry8PL8drzSiD4NLu3bt9NNPP5niycnJGjZsmM/tWxUF1K1bV0lJSapTp47P7XvDaozAF9OeYfx1YYy/isb4K7Tw2R366EPvXH755dq2bZsp7mrmFk9ER0dbxtPT01WvXj2nmB36j/EXfEFhQJBq2LCh4uLiAp0GAJQaf5/2s06dOmrSpEmAsgFgV7GxsYFOoUiuvgB19YVpMIiNjdWiRYvUvn175ebmmrZPnjxZbdu2Vbdu3fxyvLCwMMXExCgjI8O0LSsry6f/jLu6ABBKBcNhYWGqXLmyy/eHL6YB2JmrdWkPHDjgc9tWRQH169fXqlWrXN6BVxKsxgih9LkVDBh/XRjjr6Ix/gIQCpo2bapPPvnEFC/OGXLCwuw5aTrjL/jCnn8VAAAAADxWt25dy/WRg32N1auvvlovvfSS5baCggLddtttOnTokN+OV6NGDcv4kSNHfGr38OHDHh0vWLnKNy0trYQzAYCS5eoLWV/X4s7Pz9fQoUOdigIaN26s5OTkgBYFSNZT9Pq6VnBpw/jLPYy/isb4C0CwczUz6+nTp31uOzMz0zJu15tvGX/BFxQGAAAAAJAklS1bVpdeeqkp7usFjZIwevRo3XzzzZbb0tLSdMstt/htusVrrrnGMr5r1y6f2t29e7dlvG3btj61W9Jc5fvzzz+XcCa4kDZt2vhtreFOnTqZ2q9evXqR+4TiFKjBhj4MLlZ3Tkv/+3z11p9FAX9diqhFixZKTk52OUNBScnPz9fJkydN8QYNGgQgm9DF+Ms9jL+KxvgrdPDZHfroQ++0b9/eshDu2LFjPrdtNWOKZF0YEOr9x/gLvqIwAAAAAEAhq/9MurqTKtjMmTPH5X+Gv//+ez388MN+OU7Hjh0t475+8bpz507LeIcOHXxqt6S5en+2b99ewpkAgLXRo0fL4XDI4XC4vKjpDVd35lavXt2r9qyKAhISErRq1SqP7oA7ePBg4c/rcDi0ceNGr/L5u6NHjyo/P98U54tpzzH+ujDGX0Vj/AUg2FWpUkWJiYmm+K+//qpz58553W5mZqYOHjxoitetW1cVKlTwut1gxfgLvqIwAAAAAEChRo0amWJ//PFHADLxXKVKlbRkyRKVL1/ecvvLL7/sl/ULu3btarlW4YoVK3xq12r/SpUqqU2bNj61W9K6du1qeSfIsmXLfG771Vdfdbq45epLcABwl693G//V5s2bLePeTEluVRSQmJiolStXulyTvqQdOHDAMm41lkDRGH9dGOOvojH+AhAKbrnlFlOsoKDA5RjKHVu2bJFhGKZ4jx49vG4zmDH+gq8oDAAAAABQyGoqvH379llWpAej5s2ba9asWcV6jJo1a6p///6meEpKitfTIG7evNnyLod77rlH5cqV86rNQKlRo4YGDBhgim/YsMHnixxLlixxem51HADwxPbt231eo1yScnJylJycbIqHhYWpa9euHrVlVRTQrl07rVixQjExMT7n6i9WRRUxMTFq0aJFALIJbYy/LozxV9EYfwEIBUOGDLEsJPvoo4+8bvOTTz6xjPfq1cvrNoMZ4y/4isIAAAAAAIW6du2qiIgIp9j58+e1d+/eAGXkuTvvvFN33XVXsR5jwoQJplhBQYFmzJjhVXvTp083xSIiIjRu3Div2gs0q/dH+t9dg95KSUnRd999V/g8MjLSr1OAAyidCgoKNHfuXJ/befPNN3X69GlTvE2bNoqPj3e7nfz8fA0bNsypKKBz585avny5KlWq5HOe/mQ1hXv37t0t71pG0Rh/uYfxV9EYfwEIdlWqVNH9999vii9cuFDZ2dket5eTk6OFCxea4g0bNlTfvn29yjHYMf6CrygMAAAAAFCoUqVKuuaaa0zxn376KQDZeG/GjBnFWjHfunVr9evXzxSfPn26UlNTPWrrl19+0fz5803xkSNHqnbt2l7nGEhXXXWVBg4caIrPmjXLq2m78/LyNHbsWKfYPffco4svvtjtNjp37uw0Da7D4VDbtm09zgWBQx+GtmDuv+eee86n9dwPHjyop59+2nKbJxcY/ywK+OCDDwpj1157rb766itFRUV5nV9xsZr2t2fPngHIJPQx/nIP46+iMf5CcaAPQ1sw9t8jjzyi2NhYp9jhw4f14osvetzWCy+8oKNHj5riTz75pG0vlDP+gq8oDAAAAADg5LrrrjPF1q1bF4BMvFe+fHktXry4WO+unDNnjmrVquUUO336tAYOHKjc3Fy32sjMzFT//v1NUwVfccUVeuGFF/yWayC89dZbqlOnjlPs/PnzuuGGG5SWluZ2O4ZhaMyYMfrxxx8LY1WqVNGkSZM8yuf8+fOmmCdfbCPw6MPQFsz9l5mZqeuvv14nTpzweN/09HTdeOONlhclu3XrpkGDBrnVjlVRgPS/9c8rVKhg+lLfk8ffP6v8IT8/X+vXr3eKORwOvpj2AeMv9zD+KhrjL/gbfRjagrH/4uPj9corr5jizzzzjOWyTK6sWbNGzz77rCnet29f285swvgL/kBhAAAAAAAnd955p8qUKeMUW7VqVYCy8V6DBg309ttvF1v7VapU0cKFC01r0H733Xfq3bv3Bdes3rt3r7p3766dO3c6xWNiYvThhx8qMjLS7zmXpJiYGC1cuNC0huTu3bvVqVMnpaSkXLCNtLQ0DRw4UG+88YZT/L333vP4C62srCxTrF69eh61gcCiD0NbsPff1q1blZCQoGXLlrm9z8qVK9WqVSvLu7rr1q2rd955x612CgoKLIsCgtmGDRuUmZnpFOvVq1exFCGUFoy/3MP4q2iMv+Bv9GFoC9b+u+OOO0xLCmRnZ+uGG27QkiVLLrj/kiVL1KdPH9PyA82bN9cHH3wgh8Ph13yDBeMv+IWBgEtNTTUkOT1SU1MDnRYAlCpxcXFO5+GkpKRApwTAhkaOHOl0rhk5cmSgU3Jp8ODBpjHqnj17PGpj27ZtpjbcffTu3dtvP8uYMWMsjzFp0iS/tL98+XKjYsWKpvZjY2ONcePGGWvXrjWOHDli5OTkGAcPHjRWrlxp3HfffUZUVJRpn7i4OGPjxo0XPOYdd9zh1fvatGlTU1tWfe3Oo1u3bm69P99++61RqVIl0/5hYWFGv379jAULFhi7d+82MjMzjezsbOPQoUPGl19+aYwcOdK0X1hYmDFz5kyP+8gwDCM2NtaUw6JFi7xqy9/atWvn9d+K1eOWW24pljzHjx/vtxy9+RsP1j4Mlf4zjMD2YTD136hRo4r82Zo1a2Y888wzxrfffmscPHjQyMrKMnJzc41jx44ZGzZsMF566SWjTZs2Lve/7LLLjP3797udT0ZGhl9/hy702LBhg8/v4cMPP2xqd9myZT63WxySkpKc8oyLiwt0Si4x/nJfIMZfhhE6YzDGXxcWKp/fjL+shUr/GQbjL1fy8vJcnge7du1qvPvuu8aePXuMrKws4/Tp08aePXuMt99+2+jSpYvlPomJicahQ4f8nmeg/wb/KpTGX4bB9+3BKkIAAAAA8Ddjx47V+++/7xR76623NHXq1ABl5L0XX3xR69evd+ucjdMKAAAgAElEQVQOKW/06NFD69ev1+23366tW7cWxjMyMjRt2jRNmzbNrXY6dOig999/33bV/t26ddOGDRt0++23O91VW1BQoE8++USffPKJW+1Uq1ZNs2fPVv/+/T3O4dixY8rIyHCKORwOtW/f3uO2EBj0YWgLtv6bMmWK6tSpo1mzZun33383bd++fbvH02VLUnh4uEaPHq2nnnqqWKdSD7Tc3FzNnTvXKdaoUSP16NEjQBnZB+Mv9zH+KhrjL/gDfRjagr3/wsPD9Z///EeNGzfWE0884bS8y6pVq9yeNcfhcGjEiBF65ZVXVLZs2eJKN+AYf8FfWEoAAAAAgMnVV19tWqduzpw5OnfuXIAy8l7ZsmW1aNEiValSpdiO0aRJE23cuFEzZ840ret6IY0aNdK8efOUnJxsuy+l/9SwYUOlpKRo9uzZHk9dWblyZT3wwAPatWuXV19KS9Lq1atNsY4dOwZ8fU24jz4MbcHWf1WqVNGECRP066+/aunSpbrrrrt00UUXed1e1apVNWrUKG3ZskXTpk2zdVGAJH344Yc6evSoU+zRRx+17bS9JYnxl2cYfxWN8Rd8RR+GtlDoP4fDoUmTJmnr1q268cYbFRbm/iXL8PBw3Xrrrdq6datmzpxp66IAifEX/MdhGIYR6CRKu7S0NMXHxzvFUlNTFRcXF6CMAKD0iY+PV1paWuHzpKQkde7cOXAJAbClUaNGadasWYXPR44cqZkzZwYwo6L99ttvatasmdOX0dOmTdPYsWMDmJX3vvzyS/Xt21d//hdo0qRJevrpp/1+nIKCAq1Zs0Zff/21UlJStHfvXh0/flw5OTkqV66c4uPjVb9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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keras.utils.plot_model(model, show_shapes=True, to_file='cnn-architecture.png', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7sO3by845QcE"
   },
   "source": [
    "## 모델 컴파일과 훈련"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Msys0HQp5QcE",
    "outputId": "63fbfabf-fee3-45e7-896d-d9c0bb35b50d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "1500/1500 [==============================] - 34s 22ms/step - loss: 0.5234 - accuracy: 0.8113 - val_loss: 0.3425 - val_accuracy: 0.8736\n",
      "Epoch 2/20\n",
      "1500/1500 [==============================] - 33s 22ms/step - loss: 0.3546 - accuracy: 0.8704 - val_loss: 0.2819 - val_accuracy: 0.8951\n",
      "Epoch 3/20\n",
      "1500/1500 [==============================] - 33s 22ms/step - loss: 0.3018 - accuracy: 0.8909 - val_loss: 0.2688 - val_accuracy: 0.9005\n",
      "Epoch 4/20\n",
      "1500/1500 [==============================] - 33s 22ms/step - loss: 0.2730 - accuracy: 0.9005 - val_loss: 0.2468 - val_accuracy: 0.9097\n",
      "Epoch 5/20\n",
      "1500/1500 [==============================] - 33s 22ms/step - loss: 0.2486 - accuracy: 0.9091 - val_loss: 0.2375 - val_accuracy: 0.9143\n",
      "Epoch 6/20\n",
      "1500/1500 [==============================] - 33s 22ms/step - loss: 0.2302 - accuracy: 0.9150 - val_loss: 0.2304 - val_accuracy: 0.9165\n",
      "Epoch 7/20\n",
      "1500/1500 [==============================] - 33s 22ms/step - loss: 0.2124 - accuracy: 0.9209 - val_loss: 0.2253 - val_accuracy: 0.9184\n",
      "Epoch 8/20\n",
      "1500/1500 [==============================] - 32s 21ms/step - loss: 0.1944 - accuracy: 0.9271 - val_loss: 0.2240 - val_accuracy: 0.9225\n",
      "Epoch 9/20\n",
      "1500/1500 [==============================] - 26s 18ms/step - loss: 0.1812 - accuracy: 0.9335 - val_loss: 0.2236 - val_accuracy: 0.9207\n",
      "Epoch 10/20\n",
      "1500/1500 [==============================] - 28s 18ms/step - loss: 0.1691 - accuracy: 0.9358 - val_loss: 0.2334 - val_accuracy: 0.9165\n",
      "Epoch 11/20\n",
      "1500/1500 [==============================] - 30s 20ms/step - loss: 0.1588 - accuracy: 0.9400 - val_loss: 0.2338 - val_accuracy: 0.9237\n"
     ]
    }
   ],
   "source": [
    "model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', \n",
    "              metrics='accuracy')\n",
    "\n",
    "checkpoint_cb = keras.callbacks.ModelCheckpoint('best-cnn-model.h5', \n",
    "                                                save_best_only=True)\n",
    "early_stopping_cb = keras.callbacks.EarlyStopping(patience=2,\n",
    "                                                  restore_best_weights=True)\n",
    "\n",
    "history = model.fit(train_scaled, train_target, epochs=20,\n",
    "                    validation_data=(val_scaled, val_target),\n",
    "                    callbacks=[checkpoint_cb, early_stopping_cb])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "Q9ZA46lb5QcE"
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "1JaC-KDn5QcF",
    "outputId": "5d5d5d4b-3619-4b79-9b40-99c1bb5bed91"
   },
   "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.plot(history.history['loss'])\n",
    "plt.plot(history.history['val_loss'])\n",
    "plt.xlabel('epoch')\n",
    "plt.ylabel('loss')\n",
    "plt.legend(['train', 'val'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "W3pWBHLK5QcF",
    "outputId": "3d8fa158-ae50-4cfe-b173-fe6e13d6bd44"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "375/375 [==============================] - 3s 7ms/step - loss: 0.2236 - accuracy: 0.9207\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.22364725172519684, 0.9206666946411133]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.evaluate(val_scaled, val_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 265
    },
    "id": "a9wUbDQL5QcG",
    "outputId": "5ce94b91-3589-4ec0-d290-c34970afaa3a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HIHW+/BEjRpjx0aNHF27r9c2ro8+fP9+ML1iwwIxXw2BuqjkL4Ceq+r6IjAKwVURez2K/UNWnq9c9IqqUwazPfhDAwexxj4jsBjCp2h0josr6Rn+zi0gLgO8A+Eu26QER+VBEVovIgOvhiMhSEekQkY7u7u6BnkJENTDoZBeRkQB+D2CZqp4A8EsA0wBMR9+V/2cDtVPVdlVtU9W2pqam9B4TUSGDSnYRaUBfov9WVdcDgKp2quo5VT0P4FcAZlavm0SUyk126ftYchWA3ar6837bJ/Z72vcB5A8LI6LSDebT+NkAfghgu4hsy7Y9CmCRiExHXzluD4AfVaF/F7j77rtzYy+//LLZ1luC1xtmumXLltzY4cOHzbbHjh0z417fvNKcVTbctWuX2fbVV1814y+88IIZp8rzhrB6ZcE8g/k0/s8ABtq7W1MnovrBO+iIgmCyEwXBZCcKgslOFASTnSgIJjtREDWfStobxmqxbrddsmRJ4f0S1ZOidXQPr+xEQTDZiYJgshMFwWQnCoLJThQEk50oCCY7URBSdPnXQgcT6Qawt9+m8QDsweDlqde+1Wu/APatqEr27WpVHfCGlJom+9cOLtKhqm2ldcBQr32r134B7FtRteob38YTBcFkJwqi7GRvL/n4lnrtW732C2DfiqpJ30r9m52IaqfsKzsR1QiTnSiIUpJdRG4Xkb+KyMci8nAZfcgjIntEZLuIbBORjpL7slpEukRkR79t40TkdRH5KPs64Bp7JfXtcRE5kJ27bSJir1tcvb5NEZE/icguEdkpIj/Otpd67ox+1eS81fxvdhEZAuBvAP4dwH4AWwAsUlV7NYMaEZE9ANpUtfQbMETkuwBOAviNqv5Ltu0/ARxV1RXZf5RjVfWhOunb4wBOlr2Md7Za0cT+y4wDuBPAPSjx3Bn9WoganLcyruwzAXysqp+oai+AdQBqvzL9t4Cqvg3g6EWbFwBYkz1eg75flprL6VtdUNWDqvp+9rgHwFfLjJd67ox+1UQZyT4JwN/7fb8f9bXeuwL4o4hsFZGlZXdmAM2qejB7fAhAc5mdGYC7jHctXbTMeN2cuyLLn6fiB3RfN0dVZwCYB+D+7O1qXdK+v8HqqXY6qGW8a2WAZcb/ocxzV3T581RlJPsBAFP6fT8521YXVPVA9rULwAbU31LUnV+toJt97Sq5P/9QT8t4D7TMOOrg3JW5/HkZyb4FQKuITBWRoQB+AGBTCf34GhEZkX1wAhEZAeB7qL+lqDcBWJw9XgxgY4l9uUC9LOOdt8w4Sj53pS9/rqo1/wdgPvo+kf8/AP9RRh9y+nUNgA+yfzvL7huAteh7W/cl+j7buA/AFQA2A/gIwP8CGFdHfftvANsBfIi+xJpYUt/moO8t+ocAtmX/5pd97ox+1eS88XZZoiD4AR1REEx2oiCY7ERBMNmJgmCyEwXBZCcKgslOFMT/A7MzdVv3rzV2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(val_scaled[0].reshape(28, 28), cmap='gray_r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "nRe6TDpw5QcG",
    "outputId": "4df19102-76ed-4d92-d806-22d86efb392f",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[9.0732604e-19 3.0975949e-24 7.7070903e-23 3.4885638e-20 5.1285900e-22\n",
      "  7.0805287e-21 4.8658010e-19 2.0297387e-18 1.0000000e+00 5.6662979e-21]]\n"
     ]
    }
   ],
   "source": [
    "preds = model.predict(val_scaled[0:1])\n",
    "print(preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "bOBfv6De5QcG",
    "outputId": "b2952dbb-3ed3-4cee-ac48-4d7a038a9a69"
   },
   "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.bar(range(1, 11), preds[0])\n",
    "plt.xlabel('class')\n",
    "plt.ylabel('prob.')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "917fZGHu5QcG"
   },
   "outputs": [],
   "source": [
    "classes = ['티셔츠', '바지', '스웨터', '드레스', '코트',\n",
    "           '샌달', '셔츠', '스니커즈', '가방', '앵클 부츠']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "h1JqgKgk5QcH",
    "outputId": "154e2dec-73df-451f-b8d8-490580af52b9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "가방\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "print(classes[np.argmax(preds)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "G2ihSV-l5QcH"
   },
   "outputs": [],
   "source": [
    "test_scaled = test_input.reshape(-1, 28, 28, 1) / 255.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "1AHKDd2U5QcH",
    "outputId": "83657eb5-82b0-47a0-fa1b-ea3c0acce527"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 2s 7ms/step - loss: 0.2454 - accuracy: 0.9143\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.24541138112545013, 0.9143000245094299]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.evaluate(test_scaled, test_target)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "name": "8-2.ipynb",
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}