Cats_Dogs_Humans_Horses_CNN.ipynb

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      "--2019-04-07 16:53:04--  https://www.dropbox.com/sh/2idnozs4741hzkr/AABXTlPlU-1f4L_VdS4wY06ca?dl=0\n",
      "Resolving www.dropbox.com (www.dropbox.com)... 162.125.65.1, 2620:100:6021:1::a27d:4101\n",
      "Connecting to www.dropbox.com (www.dropbox.com)|162.125.65.1|:443... connected.\n",
      "HTTP request sent, awaiting response... 301 Moved Permanently\n",
      "Location: /sh/raw/2idnozs4741hzkr/AABXTlPlU-1f4L_VdS4wY06ca [following]\n",
      "--2019-04-07 16:53:04--  https://www.dropbox.com/sh/raw/2idnozs4741hzkr/AABXTlPlU-1f4L_VdS4wY06ca\n",
      "Reusing existing connection to www.dropbox.com:443.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://uc2532519e3a6bd12883244df692.dl.dropboxusercontent.com/zip_by_token_key?key=Aekll6OHQH16GF_q5CdwEWtC9TYwjbndyIoEb0e_LgK4YiHc-mS7wBl0eXSkv4vH0Bri6T5IZsjPVrpvdfdJ2UFTSBmKlYiKp97jKz3OPv1tm9tS-diun-HaaHHPiKutALqAszDifLWT-AY9o0XRti4FxOvB7tBkmhf5X6sAxUvM5rF1fib4rnM3tqqiBlJUvauMCpk6zh3xzNNdP2WYMjP0lyJWkPNgMCfaJr6LqpNzFL98_SppANY8TSzcK90TYk4 [following]\n",
      "--2019-04-07 16:53:04--  https://uc2532519e3a6bd12883244df692.dl.dropboxusercontent.com/zip_by_token_key?key=Aekll6OHQH16GF_q5CdwEWtC9TYwjbndyIoEb0e_LgK4YiHc-mS7wBl0eXSkv4vH0Bri6T5IZsjPVrpvdfdJ2UFTSBmKlYiKp97jKz3OPv1tm9tS-diun-HaaHHPiKutALqAszDifLWT-AY9o0XRti4FxOvB7tBkmhf5X6sAxUvM5rF1fib4rnM3tqqiBlJUvauMCpk6zh3xzNNdP2WYMjP0lyJWkPNgMCfaJr6LqpNzFL98_SppANY8TSzcK90TYk4\n",
      "Resolving uc2532519e3a6bd12883244df692.dl.dropboxusercontent.com (uc2532519e3a6bd12883244df692.dl.dropboxusercontent.com)... 162.125.65.6, 2620:100:6021:6::a27d:4106\n",
      "Connecting to uc2532519e3a6bd12883244df692.dl.dropboxusercontent.com (uc2532519e3a6bd12883244df692.dl.dropboxusercontent.com)|162.125.65.6|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: unspecified [application/zip]\n",
      "Saving to: ‘AABXTlPlU-1f4L_VdS4wY06ca?dl=0.1’\n",
      "\n",
      "AABXTlPlU-1f4L_VdS4     [  <=>               ]  19.24M   511KB/s    in 45s     \n",
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      "  inflating: images/dogs/dog.83.jpg  \n",
      "  inflating: images/horses/horse-194.jpg  \n",
      "  inflating: images/dogs/dog.1.jpg   \n",
      "  inflating: images/horses/horse-80.jpg  \n",
      "  inflating: images/humans/rider-175.jpg  \n",
      "  inflating: images/humans/rider-87.jpg  \n",
      "  inflating: images/humans/rider-161.jpg  \n",
      "  inflating: images/cats/cat.69.jpg  \n",
      "  inflating: images/horses/horse-90.jpg  \n",
      "  inflating: images/horses/horse-20.jpg  \n",
      "  inflating: images/dogs/dog.105.jpg  \n",
      "  inflating: images/dogs/dog.177.jpg  \n",
      "  inflating: images/dogs/dog.98.jpg  \n",
      "  inflating: images/humans/rider-62.jpg  \n",
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      "  inflating: images/cats/cat.98.jpg  \n",
      "  inflating: images/cats/cat.180.jpg  \n",
      "  inflating: images/humans/rider-182.jpg  \n",
      "  inflating: images/humans/rider-117.jpg  \n",
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      "  inflating: images/dogs/dog.35.jpg  \n",
      "  inflating: images/cats/cat.112.jpg  \n",
      "  inflating: images/humans/rider-8.jpg  \n",
      "  inflating: images/cats/cat.130.jpg  \n",
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      "  inflating: images/humans/rider-100.jpg  \n",
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      "  inflating: images/dogs/dog.114.jpg  \n",
      "  inflating: images/cats/cat.48.jpg  \n",
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      "  inflating: images/dogs/dog.132.jpg  \n",
      "  inflating: images/humans/rider-193.jpg  \n",
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      "  inflating: images/horses/horse-26.jpg  \n",
      "  inflating: images/horses/horse-187.jpg  \n",
      "  inflating: images/humans/rider-25.jpg  \n",
      "  inflating: images/cats/cat.114.jpg  \n",
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      "  inflating: images/cats/cat.42.jpg  \n",
      "  inflating: images/horses/horse-41.jpg  \n",
      "  inflating: images/humans/rider-200.jpg  \n",
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      "  inflating: images/horses/horse-126.jpg  \n",
      "  inflating: images/dogs/dog.193.jpg  \n",
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      "  inflating: images/horses/horse-193.jpg  \n",
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      "  inflating: images/cats/cat.108.jpg  \n",
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      "  inflating: images/horses/horse-164.jpg  \n",
      "  inflating: images/horses/horse-105.jpg  \n",
      "  inflating: images/cats/cat.139.jpg  \n",
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      "  inflating: images/humans/rider-184.jpg  \n",
      "  inflating: images/horses/horse-52.jpg  \n",
      "  inflating: images/dogs/dog.153.jpg  \n",
      "  inflating: images/horses/horse-37.jpg  \n",
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      "  inflating: images/horses/horse-169.jpg  \n",
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      "  inflating: images/cats/cat.65.jpg  \n",
      "  inflating: images/cats/cat.74.jpg  \n",
      "  inflating: images/humans/rider-55.jpg  \n",
      "  inflating: images/humans/rider-94.jpg  \n",
      "  inflating: images/dogs/dog.57.jpg  \n",
      "  inflating: images/humans/rider-118.jpg  \n",
      "  inflating: images/dogs/dog.123.jpg  \n",
      "  inflating: images/humans/rider-136.jpg  \n",
      "  inflating: images/horses/horse-172.jpg  \n",
      "  inflating: images/dogs/dog.12.jpg  \n",
      "  inflating: images/dogs/dog.28.jpg  \n",
      "  inflating: images/horses/horse-140.jpg  \n",
      "  inflating: images/dogs/dog.141.jpg  \n",
      "  inflating: images/horses/horse-186.jpg  \n",
      "  inflating: images/cats/cat.115.jpg  \n",
      "  inflating: images/cats/cat.170.jpg  \n",
      "  inflating: images/humans/rider-13.jpg  \n",
      "  inflating: images/horses/horse-62.jpg  \n",
      "  inflating: images/cats/cat.16.jpg  \n",
      "  inflating: images/cats/cat.14.jpg  \n",
      "  inflating: images/cats/cat.138.jpg  \n",
      "  inflating: images/cats/cat.90.jpg  \n",
      "  inflating: images/dogs/dog.143.jpg  \n",
      "  inflating: images/dogs/dog.66.jpg  \n",
      "  inflating: images/humans/rider-79.jpg  \n",
      "  inflating: images/cats/cat.78.jpg  \n",
      "  inflating: images/horses/horse-191.jpg  \n",
      "  inflating: images/dogs/dog.162.jpg  \n",
      "  inflating: images/dogs/dog.61.jpg  \n",
      "  inflating: images/cats/cat.191.jpg  \n",
      "  inflating: images/cats/cat.27.jpg  \n",
      "  inflating: images/humans/rider-112.jpg  \n",
      "  inflating: images/horses/horse-190.jpg  \n",
      "  inflating: images/dogs/dog.189.jpg  \n",
      "  inflating: images/humans/rider-49.jpg  \n",
      "  inflating: images/cats/cat.129.jpg  \n",
      "  inflating: images/dogs/dog.106.jpg  \n",
      "  inflating: images/dogs/dog.27.jpg  \n",
      "  inflating: images/humans/rider-44.jpg  \n",
      "  inflating: images/horses/horse-184.jpg  \n",
      "  inflating: images/dogs/dog.139.jpg  \n",
      "  inflating: images/horses/horse-130.jpg  \n",
      "  inflating: images/humans/rider-150.jpg  \n",
      "  inflating: images/horses/horse-59.jpg  \n",
      "  inflating: images/humans/rider-5.jpg  \n",
      "  inflating: images/cats/cat.145.jpg  \n",
      "  inflating: images/cats/cat.2.jpg   \n",
      "  inflating: images/horses/horse-6.jpg  \n",
      "  inflating: images/dogs/dog.107.jpg  \n",
      "  inflating: images/cats/cat.148.jpg  \n",
      "  inflating: images/cats/cat.101.jpg  \n",
      "  inflating: images/dogs/dog.184.jpg  \n",
      "  inflating: images/dogs/dog.34.jpg  \n",
      "  inflating: images/horses/horse-31.jpg  \n",
      "  inflating: images/horses/horse-85.jpg  \n",
      "  inflating: images/horses/horse-154.jpg  \n",
      "  inflating: images/humans/rider-170.jpg  \n",
      "  inflating: images/dogs/dog.171.jpg  \n",
      "  inflating: images/humans/rider-174.jpg  \n",
      "  inflating: images/horses/horse-81.jpg  \n",
      "  inflating: images/cats/cat.12.jpg  \n",
      "  inflating: images/horses/horse-50.jpg  \n",
      "  inflating: images/humans/rider-127.jpg  \n",
      "  inflating: images/dogs/dog.165.jpg  \n",
      "  inflating: images/horses/horse-178.jpg  \n",
      "\n",
      "1 archive had fatal errors.\n"
     ]
    }
   ],
   "source": [
    "!unzip AABXTlPlU-1f4L_VdS4wY06ca?dl=0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 51
    },
    "colab_type": "code",
    "id": "-DA6w6dNfnwQ",
    "outputId": "191fc7b6-1240-49de-e80a-a21d3192f1a7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'AABXTlPlU-1f4L_VdS4wY06ca?dl=0'     images   sample_data\n",
      "'AABXTlPlU-1f4L_VdS4wY06ca?dl=0.1'   Images   val_images\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "QlGlE-KXfslI"
   },
   "outputs": [],
   "source": [
    "import os, shutil\n",
    "folders = os.listdir(\"images\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "PAsd8S5ipntk",
    "outputId": "5bf96881-3df5-4f08-fa14-47dfd5ff5a38"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'AABXTlPlU-1f4L_VdS4wY06ca?dl=0'   images   Images   sample_data   val_images\n"
     ]
    }
   ],
   "source": [
    "if not os.path.isdir('val_images'):\n",
    "  os.mkdir('val_images')\n",
    "\n",
    "classes = ['dogs', 'cats', 'horses', 'humans']\n",
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 776
    },
    "colab_type": "code",
    "id": "vt9RFn0mp6G-",
    "outputId": "c0d8b2e9-043a-465e-8551-6694e8c67407"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21\n"
     ]
    },
    {
     "ename": "FileNotFoundError",
     "evalue": "ignored",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m/usr/lib/python3.6/shutil.py\u001b[0m in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m    543\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 544\u001b[0;31m         \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreal_dst\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    545\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'images/horses/horse-193.jpg' -> 'val_images/horses/horse-193.jpg'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-31-202ef5a4e369>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     16\u001b[0m     \u001b[0msrc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimg_f\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0mdest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'val_images/'\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimg_f\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m     \u001b[0mshutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     19\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/shutil.py\u001b[0m in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m    556\u001b[0m             \u001b[0mrmtree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    557\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 558\u001b[0;31m             \u001b[0mcopy_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreal_dst\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    559\u001b[0m             \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munlink\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    560\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mreal_dst\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/shutil.py\u001b[0m in \u001b[0;36mcopy2\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m    255\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdst\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    256\u001b[0m         \u001b[0mdst\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbasename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 257\u001b[0;31m     \u001b[0mcopyfile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfollow_symlinks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfollow_symlinks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    258\u001b[0m     \u001b[0mcopystat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfollow_symlinks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfollow_symlinks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    259\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mdst\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/shutil.py\u001b[0m in \u001b[0;36mcopyfile\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m    119\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfsrc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m             \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'wb'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfdst\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    122\u001b[0m                 \u001b[0mcopyfileobj\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfsrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfdst\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    123\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mdst\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'val_images/horses/horse-193.jpg'"
     ]
    }
   ],
   "source": [
    "for c in classes:\n",
    "  p = os.path.join('val_images', c)\n",
    "  if not p:\n",
    "    os.mkdir(p)\n",
    "    \n",
    "SPLIT = 0.9\n",
    "for f in os.listdir('images'):\n",
    "  path = 'images/'+f\n",
    "  imgs = os.listdir(path)\n",
    "  \n",
    "  split_size = int(SPLIT*len(imgs))\n",
    "  files_to_move = imgs[split_size:]\n",
    "  print(len(files_to_move))\n",
    "  \n",
    "  for img_f in files_to_move:\n",
    "    src = os.path.join(path, img_f)\n",
    "    dest = os.path.join('val_images/'+f, img_f)\n",
    "    shutil.move(src,dest)\n",
    "    print(src)\n",
    "    print(dest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 85
    },
    "colab_type": "code",
    "id": "L2iSmgIgfxW7",
    "outputId": "594990e6-6d32-4126-c5bd-1c1216c4366f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "horses 202\n",
      "humans 202\n",
      "cats 202\n",
      "dogs 202\n"
     ]
    }
   ],
   "source": [
    "for f in folders:\n",
    "  path = 'images/'+f\n",
    "  print(f+' '+str(len(os.listdir(path))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rxQlYK9af_ZB"
   },
   "outputs": [],
   "source": [
    "from keras.preprocessing import image\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-yoEXWQcgZq0"
   },
   "outputs": [],
   "source": [
    "sample_path = 'images/cats/cat.1.jpg'\n",
    "img = image.load_img(sample_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 350
    },
    "colab_type": "code",
    "id": "fNsDYsb1gwMv",
    "outputId": "ca83ba2c-72aa-4b8c-af71-0e95e15f892b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rOXgRZQ20wFBVoBvox2iBVlDXmrrSEJhr8OPXjW/UMLeHNU608Gb7Q1EUpGnsYQzrLWtk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p7t9/SDqdFpWos1n29vaIxWJsbGwIdbdiEVnX6Zkmu9s71Pp84p4sUe+2qXQ63Lxzl8+uXqFn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29nBTe1CQVRmI+Ojvj4xz/OW2/dzIQW9+5uJue16LnSrns6FTl5nU4HgP2jxENb0/joRz/K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A0HX8y7/8C1arFd577z1YholvvvlG0LiqFvOz7cIyCRDL1rKlswcv4YKUjRDPWJZlNJvN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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = image.img_to_array(img)/255.0\n",
    "plt.imshow(x)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "iPrpVgUzg7Cx"
   },
   "outputs": [],
   "source": [
    "from keras.layers import *\n",
    "from keras.models import Sequential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 510
    },
    "colab_type": "code",
    "id": "A5vhSGVBicMp",
    "outputId": "374228f0-c1e9-4078-a531-6df77f17b97b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_11 (Conv2D)           (None, 148, 148, 32)      896       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_10 (MaxPooling (None, 74, 74, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_12 (Conv2D)           (None, 72, 72, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_11 (MaxPooling (None, 36, 36, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_13 (Conv2D)           (None, 34, 34, 128)       73856     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_12 (MaxPooling (None, 17, 17, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_14 (Conv2D)           (None, 15, 15, 128)       147584    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_13 (MaxPooling (None, 7, 7, 128)         0         \n",
      "_________________________________________________________________\n",
      "flatten_4 (Flatten)          (None, 6272)              0         \n",
      "_________________________________________________________________\n",
      "dense_7 (Dense)              (None, 64)                401472    \n",
      "_________________________________________________________________\n",
      "dense_8 (Dense)              (None, 4)                 260       \n",
      "=================================================================\n",
      "Total params: 642,564\n",
      "Trainable params: 642,564\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = Sequential()\n",
    "model.add(Conv2D(32, (3,3), activation='relu', input_shape=(150,150,3)))\n",
    "model.add(MaxPool2D((2,2)))\n",
    "model.add(Conv2D(64, (3,3), activation='relu'))\n",
    "model.add(MaxPool2D((2,2)))\n",
    "model.add(Conv2D(128, (3,3), activation='relu'))\n",
    "model.add(MaxPool2D((2,2)))\n",
    "model.add(Conv2D(128, (3,3), activation='relu'))\n",
    "model.add(MaxPool2D((2,2)))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(64, activation='relu'))\n",
    "model.add(Dense(4, activation='softmax'))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "T6xY0XyQijQR"
   },
   "outputs": [],
   "source": [
    "from keras import optimizers\n",
    "\n",
    "adam = optimizers.adam(lr=1e-4)\n",
    "model.compile(optimizer=adam, loss='categorical_crossentropy', metrics=['acc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9BxujzL8jb_D"
   },
   "outputs": [],
   "source": [
    "from keras.preprocessing.image import ImageDataGenerator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "zqRZNZIjjzme",
    "outputId": "b28750f1-30d7-456b-8222-e2b0cb0e8d63"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 808 images belonging to 4 classes.\n"
     ]
    }
   ],
   "source": [
    "train_gen = ImageDataGenerator(rescale=1.0/255)\n",
    "\n",
    "train_generator = train_gen.flow_from_directory('images/', target_size=(150,150), batch_size=32, class_mode='categorical')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "q7vL6KoXl_2e",
    "outputId": "72eb9a7c-3269-4410-9c28-e51ca7508356"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(32, 150, 150, 3) (32, 4)\n"
     ]
    }
   ],
   "source": [
    "x,y = train_generator.next()\n",
    "print(x.shape, y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1377
    },
    "colab_type": "code",
    "id": "YvPwXjNZmEVf",
    "outputId": "83ec85e6-b099-4e1f-942c-784ec55d2ce0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/40\n",
      "7/7 [==============================] - 1s 116ms/step - loss: 1.0159 - acc: 0.5491\n",
      "Epoch 2/40\n",
      "7/7 [==============================] - 1s 76ms/step - loss: 1.0399 - acc: 0.5570\n",
      "Epoch 3/40\n",
      "7/7 [==============================] - 1s 89ms/step - loss: 0.9167 - acc: 0.6384\n",
      "Epoch 4/40\n",
      "7/7 [==============================] - 1s 105ms/step - loss: 0.9670 - acc: 0.5848\n",
      "Epoch 5/40\n",
      "7/7 [==============================] - 1s 99ms/step - loss: 0.9388 - acc: 0.6473\n",
      "Epoch 6/40\n",
      "7/7 [==============================] - 1s 95ms/step - loss: 0.9590 - acc: 0.6231\n",
      "Epoch 7/40\n",
      "7/7 [==============================] - 1s 122ms/step - loss: 0.8862 - acc: 0.6518\n",
      "Epoch 8/40\n",
      "7/7 [==============================] - 1s 99ms/step - loss: 0.9631 - acc: 0.6429\n",
      "Epoch 9/40\n",
      "7/7 [==============================] - 1s 100ms/step - loss: 0.8745 - acc: 0.6652\n",
      "Epoch 10/40\n",
      "7/7 [==============================] - 1s 99ms/step - loss: 0.8568 - acc: 0.6594\n",
      "Epoch 11/40\n",
      "7/7 [==============================] - 1s 110ms/step - loss: 0.8661 - acc: 0.6473\n",
      "Epoch 12/40\n",
      "7/7 [==============================] - 1s 108ms/step - loss: 0.8962 - acc: 0.6205\n",
      "Epoch 13/40\n",
      "7/7 [==============================] - 1s 110ms/step - loss: 0.8938 - acc: 0.6607\n",
      "Epoch 14/40\n",
      "7/7 [==============================] - 1s 103ms/step - loss: 0.7973 - acc: 0.7183\n",
      "Epoch 15/40\n",
      "7/7 [==============================] - 1s 114ms/step - loss: 0.8003 - acc: 0.6786\n",
      "Epoch 16/40\n",
      "7/7 [==============================] - 1s 106ms/step - loss: 0.8284 - acc: 0.6696\n",
      "Epoch 17/40\n",
      "7/7 [==============================] - 1s 91ms/step - loss: 0.8214 - acc: 0.6567\n",
      "Epoch 18/40\n",
      "7/7 [==============================] - 1s 105ms/step - loss: 0.7644 - acc: 0.6786\n",
      "Epoch 19/40\n",
      "7/7 [==============================] - 1s 121ms/step - loss: 0.8229 - acc: 0.6518\n",
      "Epoch 20/40\n",
      "7/7 [==============================] - 1s 102ms/step - loss: 0.7461 - acc: 0.7321\n",
      "Epoch 21/40\n",
      "7/7 [==============================] - 1s 100ms/step - loss: 0.7554 - acc: 0.7002\n",
      "Epoch 22/40\n",
      "7/7 [==============================] - 1s 119ms/step - loss: 0.7032 - acc: 0.6964\n",
      "Epoch 23/40\n",
      "7/7 [==============================] - 1s 107ms/step - loss: 0.8073 - acc: 0.6920\n",
      "Epoch 24/40\n",
      "7/7 [==============================] - 1s 102ms/step - loss: 0.7748 - acc: 0.6696\n",
      "Epoch 25/40\n",
      "7/7 [==============================] - 1s 95ms/step - loss: 0.7980 - acc: 0.6341\n",
      "Epoch 26/40\n",
      "7/7 [==============================] - 1s 99ms/step - loss: 0.7584 - acc: 0.6652\n",
      "Epoch 27/40\n",
      "7/7 [==============================] - 1s 116ms/step - loss: 0.6896 - acc: 0.7143\n",
      "Epoch 28/40\n",
      "7/7 [==============================] - 1s 102ms/step - loss: 0.6789 - acc: 0.7281\n",
      "Epoch 29/40\n",
      "7/7 [==============================] - 1s 108ms/step - loss: 0.7273 - acc: 0.7188\n",
      "Epoch 30/40\n",
      "7/7 [==============================] - 1s 100ms/step - loss: 0.6750 - acc: 0.7366\n",
      "Epoch 31/40\n",
      "7/7 [==============================] - 1s 112ms/step - loss: 0.6654 - acc: 0.7054\n",
      "Epoch 32/40\n",
      "7/7 [==============================] - 1s 104ms/step - loss: 0.5639 - acc: 0.7844\n",
      "Epoch 33/40\n",
      "7/7 [==============================] - 1s 110ms/step - loss: 0.6284 - acc: 0.7188\n",
      "Epoch 34/40\n",
      "7/7 [==============================] - 1s 116ms/step - loss: 0.6729 - acc: 0.7455\n",
      "Epoch 35/40\n",
      "7/7 [==============================] - 1s 106ms/step - loss: 0.5997 - acc: 0.7723\n",
      "Epoch 36/40\n",
      "7/7 [==============================] - 1s 97ms/step - loss: 0.6495 - acc: 0.7066\n",
      "Epoch 37/40\n",
      "7/7 [==============================] - 1s 97ms/step - loss: 0.6316 - acc: 0.7589\n",
      "Epoch 38/40\n",
      "7/7 [==============================] - 1s 128ms/step - loss: 0.5362 - acc: 0.7812\n",
      "Epoch 39/40\n",
      "7/7 [==============================] - 1s 99ms/step - loss: 0.6451 - acc: 0.7455\n",
      "Epoch 40/40\n",
      "7/7 [==============================] - 1s 88ms/step - loss: 0.5882 - acc: 0.7791\n"
     ]
    }
   ],
   "source": [
    "# Train our model\n",
    "\n",
    "hist = model.fit_generator(train_generator, epochs=40, steps_per_epoch=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9pDXGrJAnTgh"
   },
   "outputs": [],
   "source": [
    "  "
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "name": "Cats_Dogs_Humans_Horses_CNN.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
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 },
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}