{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"DL_TransferLearning.ipynb","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyNskLiEqbvZwRanBtyUzh7Y"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"TQPqkPygK8DX","colab_type":"text"},"source":["### Transfer learning\n","\n","#### Main intuition: \n","- Train a model using a specific set of training data\n","- Save the model\n","- Use the pre-trained model for a new problem/dataset\n","- Re-train using the new dataset\n","\n","#### When do we use it:\n","If we have a small dataset, not big enough for proper training. The use of a pre-trained model on much larger dataset provides a better initialization\n","\n","#### Examples:\n","The most common example is: ImageNet network + transfer learning to specific dataset\n"]},{"cell_type":"code","metadata":{"id":"tiIuTqa6K6Eg","colab_type":"code","colab":{}},"source":["from __future__ import print_function\n","\n","!pip install q keras==2.3.1\n","\n","import datetime\n","import keras\n","from keras.datasets import mnist\n","from keras.models import Sequential\n","from keras.layers import Dense, Dropout, Activation, Flatten\n","from keras.layers import Conv2D, MaxPooling2D\n","from keras import backend as K\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"KkOVtbe0cu0W","colab_type":"code","colab":{}},"source":["now = datetime.datetime.now\n","\n","batch_size = 128\n","num_classes = 5\n","epochs = 5\n","\n","# input image dimensions\n","img_rows, img_cols = 28, 28\n","# number of convolutional filters to use\n","filters = 32\n","# size of pooling area for max pooling\n","pool_size = 2\n","# convolution kernel size\n","kernel_size = 3\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"VB2kNT9IcdV0","colab_type":"code","outputId":"c5fe85ef-c842-4d69-f576-05af4e62049b","executionInfo":{"status":"ok","timestamp":1586120757055,"user_tz":240,"elapsed":4515,"user":{"displayName":"Guray Erus","photoUrl":"","userId":"15374812584437350386"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["K.backend()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'tensorflow'"]},"metadata":{"tags":[]},"execution_count":3}]},{"cell_type":"code","metadata":{"id":"JCbTqFiUcpZK","colab_type":"code","colab":{}},"source":["if K.image_data_format() == 'channels_first':\n","    input_shape = (1, img_rows, img_cols)\n","else:\n","    input_shape = (img_rows, img_cols, 1)\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"KMOft4ETcO64","colab_type":"code","colab":{}},"source":["def train_model(model, train, test, num_classes):\n","    x_train = train[0].reshape((train[0].shape[0],) + input_shape)\n","    x_test = test[0].reshape((test[0].shape[0],) + input_shape)\n","    x_train = x_train.astype('float32')\n","    x_test = x_test.astype('float32')\n","    x_train /= 255\n","    x_test /= 255\n","    print('x_train shape:', x_train.shape)\n","    print(x_train.shape[0], 'train samples')\n","    print(x_test.shape[0], 'test samples')\n","\n","    # convert class vectors to binary class matrices\n","    y_train = keras.utils.to_categorical(train[1], num_classes)\n","    y_test = keras.utils.to_categorical(test[1], num_classes)\n","\n","    model.compile(loss='categorical_crossentropy',\n","                  optimizer='adadelta',\n","                  metrics=['accuracy'])\n","\n","    t = now()\n","    model.fit(x_train, y_train,\n","              batch_size=batch_size,\n","              epochs=epochs,\n","              verbose=1,\n","              validation_data=(x_test, y_test))\n","    print('Training time: %s' % (now() - t))\n","    score = model.evaluate(x_test, y_test, verbose=0)\n","    print('Test score:', score[0])\n","    print('Test accuracy:', score[1])\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"2b79ZCppc2lg","colab_type":"code","colab":{}},"source":["# the data, split between train and test sets\n","(x_train, y_train), (x_test, y_test) = mnist.load_data()\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"eC2dLeX1b-pK","colab_type":"code","colab":{}},"source":["# create two datasets one with digits below 5 and one with 5 and above\n","x_train_lt5 = x_train[y_train < 5]\n","y_train_lt5 = y_train[y_train < 5]\n","x_test_lt5 = x_test[y_test < 5]\n","y_test_lt5 = y_test[y_test < 5]\n","\n","x_train_gte5 = x_train[y_train >= 5]\n","y_train_gte5 = y_train[y_train >= 5] - 5\n","x_test_gte5 = x_test[y_test >= 5]\n","y_test_gte5 = y_test[y_test >= 5] - 5\n","\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"BVLSZd4Cc7v8","colab_type":"code","colab":{}},"source":["# define two groups of layers: feature (convolutions) and classification (dense)\n","feature_layers = [\n","    Conv2D(filters, kernel_size,\n","           padding='valid',\n","           input_shape=input_shape),\n","    Activation('relu'),\n","    Conv2D(filters, kernel_size),\n","    Activation('relu'),\n","    MaxPooling2D(pool_size=pool_size),\n","    Dropout(0.25),\n","    Flatten(),\n","]\n","\n","classification_layers = [\n","    Dense(128),\n","    Activation('relu'),\n","    Dropout(0.5),\n","    Dense(num_classes),\n","    Activation('softmax')\n","]\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"XhfQyPtNcD9i","colab_type":"code","colab":{}},"source":["# create complete model\n","model = Sequential(feature_layers + classification_layers)\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"MSxquOQ0MXUQ","colab_type":"code","outputId":"ce754dca-2681-4eac-f01d-e2cc96e173e8","executionInfo":{"status":"ok","timestamp":1586121291771,"user_tz":240,"elapsed":651,"user":{"displayName":"Guray Erus","photoUrl":"","userId":"15374812584437350386"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["from keras.utils import plot_model\n","\n","#plot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)\n","plot_model(model, show_shapes=True, show_layer_names=True)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAiUAAAV5CAIAAAA75Om+AAAABmJLR0QA/wD/AP+gvaeTAAAgAElE\nQVR4nOzde1wTV/o4/jOBkISQcJOb3AJBVBTFVrsG61J0F9vy9YKK0mp3vW2prU1BrYoKRUAoxQVe\nIrT1smxXVEBUtFRqX9pS64qtrVAobi0iKmoVuYarhDC/P86r88kvQDIBMkngef/lnBmeOZlgHnLm\nzHkIkiQRAAAAoGMsfXcAAADAmAD5BgAAABMg3wAAAGAC5BsAAABMMGXmNKWlpampqcycCwAAAH0S\niWTz5s0MnIih7zd1dXUFBQXMnAsA5hUUFDx48EDfvdC5a9euXbt2Td+9ACPp2rVrpaWlzJyLoe83\n2MmTJ5k8HQCMIQgiMjJyxYoV+u6IboWGhiL4jzy64PeUGXD/BgAAABMg3wAAAGAC5BsAAABMgHwD\nAACACZBvAAAAMAHyDQB6c/78eUtLy88//1zfHdGVixcvRkVFnTp1ytPTkyAIgiDeeOMN5QOCgoIE\nAoGJicmUKVNu3Lihl07GxcX5+PgIhUIOh+Pl5bVt27b29nblA44fPz5r1iyBQODu7r527drHjx/r\nPTLW19eXlpbm7++v3Hju3Lnk5GSFQqFVKIaQjMjLy2PsXAAwDyGUl5en7U8VFRUJhcJz587poku6\nsHz58uXLl9M8OCYmZuHChTKZDG+KxWJbW1uEUFFRkfJhxcXFixcvHuGOaiMgICAzM7OxsVEmk+Xl\n5bHZ7Jdffpnam5ubixBKTk5uaWkpKyvz9PT08/OTy+X6jUyS5G+//TZnzhyE0PTp01V2paenBwQE\nNDc304mj1Xs6TJBvABgBQ8s3jOns7JRIJMOPQ/+zKSkpydvbu6uri2oRi8XHjh1jsVjOzs4tLS1U\nu97zTXBwcG9vL7WJH6K6f/8+3gwMDBw/fnxfXx/ePHDgAELoypUr+o1cXl6+dOnSnJwcPz+//vmG\nJEmpVCqRSOhkLybzDYynATD6HTlypL6+nrHT3b59Ozo6es+ePVwuV7nd398/IiLi4cOHW7duZawz\nGhUVFZmYmFCb48aNQwh1dnbizbq6OicnJ4Ig8KarqytC6N69e/qNPH369FOnTq1atYrD4Qx4QGxs\nbHl5eXp6Op1ojIF8A4B+XLlyxc3NjSAI/IdtVlYWn883Nzc/e/bsK6+8IhQKXVxcTpw4gQ/ev38/\nl8u1t7d/6623nJycuFyuv7//999/j/dKpVIzMzNHR0e8+c477/D5fIIgGhoaEEIRERFbtmypqakh\nCMLLywsh9OWXXwqFwr179+rope3fv58kyUWLFvXflZCQ4O3tffjw4YsXLw74syRJpqamTp48mcPh\nWFtbL1my5Ndff8W71F8ihJBCoYiJiXFzc+PxeNOmTcPDKtp6+PAhj8fz8PDAm56ensqpGt9i8fT0\nNKjI/VlbWwcEBKSnp5MGVVGTma9RMJ4GRjc0pPG0uro6hFBGRgbe3LVrF0Lo0qVLra2t9fX1c+fO\n5fP5PT09eG94eDifz79582Z3d3dVVRW+z0wNzqxatcrBwYGKnJKSghB6+vQp3ly2bJlYLKb2FhUV\nCQSCuLg4bTtMc+zF09PTx8dHpVEsFtfW1pIkefXqVRaLJRKJ2tvbyX7jaTExMWZmZkePHm1paamo\nqHjuuefGjRv3+PFjvFf9Jdq6dSuHwykoKGhubt65cyeLxbp+/bpWL7Cjo0MgEEilUqqlpKSEzWbv\n379fJpP98ssvkydPXrBggVYxdRr5T3/604DjaSRJRkVFIYTKysrUR4DxNADGLn9/f6FQaGdnFxYW\n1tHRcf/+fWqXqakp/sPfx8cnKyurra0tOzt7CKcIDg6WyWTR0dEj1+v/09HRUVtbKxaLBztAIpFE\nRkbevXt3x44dKru6urpSU1OXLl26evVqS0tLX1/fTz75pKGh4eDBg8qHDXiJuru7s7KyQkJCli1b\nZmVltXv3bjabre31SUxMdHJySkhIoFoCAgK2b98ulUqFQuHUqVPb2toOHz6sVUxdRx7MhAkTEEKV\nlZUjGHOYIN8AYKDMzMwQQnK5fMC9M2fONDc3p8aaDEd9fT1Jkubm5mqOSUhImDhxYmZm5pUrV5Tb\nq6qq2tvbZ86cSbXMmjXLzMyMGjlUoXyJbt261dnZOXXqVLyLx+M5OjpqdX1Onz6dn59/4cIFgUBA\nNe7atevgwYOXLl1qb2+/c+eOv7+/RCLBX0wNIbIa+C148uTJSAUcPsg3ABgrDofz9OlTffdCVXd3\nN0JosPvYGJfLzc7OJghi3bp1XV1dVHtLSwtCyMLCQvlgKyurtrY2jeft6OhACO3evZv4w71796ib\n8xrl5uZ++OGHJSUlIpGIavz999+Tk5PffPPNefPm8fl8Dw+PQ4cOPXr0CA9X6j2yejweD/3xdhgI\nyDcAGCW5XN7S0uLi4qLvjqjCH3ManzfENb6qq6vj4+OpRisrK4SQSnah+TLt7OwQQmlpaco3DGhW\ndsnIyMjJyfn666/Hjx+v3F5dXa1QKJQbhUKhjY1NVVUVnbA6jaxRT08P+uPtMBCM1r8BAIyUkpIS\nkiRnz56NN01NTQcbeWOYvb09QRCtra0aj4yPjy8qKiorK3Nzc8MtU6dOtbCw+PHHH6ljvv/++56e\nnueff15jNFdXVy6XW15erlVvSZLcsWNHc3NzYWGhqanq5yHOc7///jvV0tbW1tTUhOcu6ysyTfgt\ncHBwGKmAwwffbwAwGn19fc3Nzb29vRUVFREREW5ubmvWrMG7vLy8mpqaCgsL5XL506dPVR7jsLGx\nefTo0d27d9va2uRyeXFxse7mQ5ubm3t6etKpdopH1ZSfUOFyuVu2bDl9+nROTo5MJqusrNy4caOT\nk1N4eDidaGvXrj1x4kRWVpZMJlMoFA8ePMAf6GFhYQ4ODgOul3Pz5s2PPvro0KFDbDabULJv3z6E\nkIeHR2Bg4KFDhy5fvtzV1VVXV4d7sn79evzjeolME34LfH19hxxh5DEzDQ7mQ4PRDWk/HzojIwM/\nMWNubr5o0aLMzEx8g3fChAk1NTUHDx4UCoUIIXd3999++40kyfDwcDab7ezsbGpqKhQKlyxZUlNT\nQ0VrbGwMDAzkcrkeHh7vvvvu+++/jxDy8vLCE6Zv3Ljh7u7O4/FefPHFx48fnz9/XiAQJCQkaPsy\nac6dlUqlbDa7s7MTb54+fRpPVxs3btymTZtUDn7//feV50P39fWlpKRMmDCBzWZbW1uHhITcunUL\n79J4iZ49e7Z9+3Y3NzdTU1M7O7tly5ZVVVWRJBkSEoIQiomJ6d/VwaZvpaSk4AMaGhoiIiK8vLw4\nHI6FhcWcOXPOnDlD/bheIpMkWVpaOmfOHCcnJxzT0dHR39//22+/VT4mODjY2dmZWr9gMLCeDQBG\nZgj5Rlvh4eE2NjY6PYVGND+bqqurTU1Njx49ykCX6FAoFHPnzj1y5MjYidzQ0MDlcvft26fxSHj+\nBgAwAANd9LcfLy+vuLi4uLg4leWQ9UKhUBQWFra1tYWFhY2dyLGxsX5+flKpdGQ7NkyQbwAAIy8q\nKio0NDQsLIzOxAGdKikpOXXqVHFxsfpHgkZT5NTU1PLy8vPnz7PZ7JHt2DCN9XyjsUAFZcOGDQKB\ngCAIrSbADFigQiMDLIty7dq1yZMns1gsgiAcHByUH5PWNeXqKY6OjqtXr2bs1IZj586d2dnZra2t\nHh4eBQUF+u4OLXv37pVKpUlJSfrtxvz5848dO0YtLjfqI589e/bZs2clJSXW1tYj3rHhYmbYzmDv\n36gvUKECrwyocT0iipoCFeoZbFmUBQsWIIRo1tUYWWKx2NLSkvnz0oQMux7BSGFyrB8wA+7fMMfC\nwgLfhhUIBCtWrAgJCfnyyy9HZEmJn3/+eceOHRs3bvTz89P2Z4ODg1tbWxcuXDj8bqjX1dWl7Xcv\nZhhsxwAAQzbW8436AhUqqEoVdGgsUGEIGC6LQp/BdgwAMGQGl2+OHj06c+ZMLpfL5/NFIhFe64Ic\nakmMyZMnEwTBYrGef/55nEW2bdtmaWnJ5XL//e9/9z+7SoEKkiRTUlImTpzI4XAsLS3xMw26Zixl\nUZjsGB3fffedj48PfnN9fX0vXLiAENqwYQO+8SMWi8vKyhBCa9euNTc3t7S0PHfuHBqkYspHH31k\nbm4uEAjq6+u3bNni7Ox869Ytmt0AAAyKmWE7mvdv0tLSEEJJSUmNjY1NTU2ffvrpqlWryGGUxOjt\n7RWJRG5ubspVXSMjI1UWWcL6F6jYtWsXQRD//Oc/m5ubOzs7MzMzkTb3bzA1BSoGY7BlUVTu3zDW\nMZLG/ZuTJ0/GxsY2NTU1NjbOnj3b1taWCmViYvLw4UPqyNdff526NzZYxRT80t57772MjIylS5f+\n73//U3NqEu7fAKM1Ru/fyOXyPXv2BAYG7tixw8bGxtraev369bNmzRpOSQwTE5P33nvv/v37p0+f\nxod1dnaeOnVq3bp1/TugUqCiq6srLS3tL3/5y+bNm62srHg8no2NjY6vgToGWxaFgY7RsXz58g8+\n+MDa2trGxmbRokWNjY147eSNGzcqFArqvDKZ7Pr166+++iqiUTHlww8/3LRp06lTpyZNmqSjbgMw\ndhhQvqmoqGhpacF/QWM4WwynJAZCaMOGDZaWllQd75ycnCVLluBlMJT1L1Bx+/btzs7O+fPnj9Dr\nGzEGWxbFcDqGHzvAT0fOmzfP29v7X//6F0mSCKHc3NywsDB80274FVOUrVy5khjtCgoKCgoK9N0L\nMJKYnF5vQOtDy2Qy9MeC5MqGUxID/+Cbb76ZkpLyww8/vPDCCx9//HH/65ubm5uamlpSUqK8PDhe\n7Q4vcm5cDLMsCtJxx7744ouUlJSqqiqZTKac8wiCeOuttzZv3nzp0qW//OUv//nPf44dO4Z3URVT\ndu/eTR1PrUmlrYiICIlEMoxXYATwiHdkZKS+OwJGDH5PmWFA+QZ/1uM7xsqGUxIDk0ql6enpaWlp\nGzdudHV1Val0m5GRceHCha+//lolpXG5XITQs2fPtHwdemawZVF00bHLly//9NNPkZGR9+/fDwkJ\nWbp06b/+9a/x48dnZGRs27aNOmzNmjU7d+48fPiwq6urUCh0d3fH7VTFlIiIiOF3RiKRrFixYvhx\nDNnJkycRQqP+ZY4p+D1lhgGNp4lEIhsbm6+++kqlfTglMTAXF5cVK1YUFBRER0crf7KQJLl9+/bK\nysrCwkKVZIPPy2Kxvv322yG9Gr0x2LIouujYTz/9xOfzEUKVlZVyufztt9/29PTkcrnE/3/murW1\n9cqVKwsLC/ft2/ePf/yDah9axRQAwNAYUL7hcDg7d+68fPmyVCp9+PBhX19fW1vbzZs3h1MSg7Jl\ny5be3t7m5uZ58+ZRjeoLVOD1zAsKCo4cOSKTySoqKlRmKBgOgy2LMlId6x9ZLpc/efKkpKQE5xtc\nsOvixYvd3d3V1dX97+1t3Ljx2bNnRUVFyk/RqqmYAgAYecxMg6O/ns2BAwd8fX25XC6Xy50xY0Zm\nZiY5vJIYlMDAwMOHDyu3aCxQ0dbWtmHDBltbWwsLixdffDEmJgYh5OLi8vPPP2t8IXQKVAzIMMui\nXLt2bcqUKSwWC7+WvXv3Mtaxjz/+WGUIVNnp06dxwO3bt9vY2FhZWYWGhuJHl8RiMTX9miTJGTNm\nREVFqbyuASumJCcn4yq8rq6uNBfVRzAfGhgnJt9TgiTJkUlcauXn569cuZKZc401b7311smTJxsb\nG/XdEVWG1rHg4OADBw5QD/OOLIIg8vLyRv2NjdDQUMTsiD/QNSbfUwMaTwNDZrBlUfTeMWosrqKi\nAn+X0m9/ABjLIN8Mxa+//qpmPrv6EknD+Vmgre3bt1dXV//2229r167FayMBJl28eDEqKkq5osQb\nb7yhfEBQUJBAIDAxMZkyZcqNGzf00kmNRUmOHz+OV8dwd3dfu3bt48eP9R4ZG7Dcyblz55KTk/X+\np97AmBm2M9h6BMYuKioKP2UpEolOnjyp7+78HwPp2K5du1gslqurq66LOyC4f9NPTEzMwoULZTIZ\n3hSLxba2tgihoqIi5cOKi4sXL148wh3VhvqiJLm5uQih5OTklpaWsrIyT09PPz8/uVyu38ik2nIn\n6enpAQEBNOuGMHn/BvINACNA1/mms7NTIpHoPRT9z6akpCRvb++uri6qRSwWHzt2jMViOTs7t7S0\nUO16zzfBwcHK6yvim3DUTJPAwMDx48f39fXhTTwV5cqVK/qNXF5evnTp0pycHD8/vwGXZ5RKpRKJ\nhE72GqPrpwEABjOCBRoYqPVw+/bt6OjoPXv24IemKf7+/hEREQ8fPty6datOO6AV9UVJ6urqnJyc\nqCe6XF1dEUIq0/eZj6yx3ElsbGx5eTm1jpeBgHwDAEPIwctqaFWgQY9FKGjav38/SZKLFi3qvysh\nIcHb2/vw4cMXL17U9iqpL4GBBqkuoS2VoiSenp7K6RnfYvH09DSoyP1ZW1sHBASkp6eTBjUrmJmv\nUTCeBkY3RGM8TX1ZDa0KNDBZhEIZzbEXT09PHx8flUaxWFxbW0uS5NWrV1kslkgkam9vJ/uNpw25\n+Ag5eHUJ+voXJSkpKWGz2fv375fJZL/88svkyZMXLFigVUydRlZT7iQqKgrRqJ8C42kAjDY0y2rQ\np98iFGp0dHTU1taqeURXIpFERkbevXt3x44dKruGU3xEY3UJOlSKkiCEAgICtm/fLpVKhULh1KlT\n29raDh8+rFVMXUcezIQJExBCgz3VrheQbwBggrZlNbSixyIU/dXX15MkideeGExCQsLEiRMzMzOv\nXLmi3D6c4iPDry7RvygJQmjXrl0HDx68dOlSe3v7nTt3/P39JRIJrohoCJHVwG/BkydPRirg8EG+\nAYAJwyyroZHhFKHo7u5GCA12HxvjcrnZ2dkEQaxbt66rq4tqH85VoqpLUE+z3bt3j7o5r1Fubu6H\nH35YUlIiEomoxt9//z05OfnNN9+cN28en8/38PA4dOjQo0eP8BCl3iOrh9dkwm+HgYB8AwAThl9W\nQw2DKkKBP+Y0Pm8okUg2b95cXV2t/BzucK4SVV1C+YZBaWkpnT5nZGTk5OR8/fXXyhWwEELV1dUK\nhUK5USgU2tjYVFVV0Qmr08ga9fT0oD/eDgNhQPVvABjFNJbVGE6BBoMqQmFvb08QRGtrq8Yj4+Pj\ni4qKysrK8PLeaHjFR4ZWXYIkyR07djQ3NxcWFpqaqn4e4jynvGR4W1tbU1MTnrusr8g04bfAwcFh\npAIOH3y/AYAJGstqaFugwWCLUJibm3t6euLyuOrhUTXlJ1SGU3xETXWJsLAwBweHAdfLUV+UxMPD\nIzAw8NChQ5cvX+7q6qqrq8M9Wb9+Pf5xvUSmCb8Fvr6+Q44w8piZBgfzocHohmjMh1ZTVoPUsnIE\nM0Uo+qM5d1YqlbLZ7M7OTrx5+vRpPF1t3LhxmzZtUjn4/fffV54PPZziIwNWlyBJMiQkBCEUExPT\nv6sai5I0NDRERER4eXlxOBwLC4s5c+acOXOG+nG9RCbplTsJDg52dnam1i8YDKxnA4CRoZNvRlB4\neLiNjQ1jp6PQ/Gyqrq42NTWlWTqIAQqFYu7cuUeOHBk7kRsaGrhc7r59+zQeCc/fAAA0MNAFgBFC\nCHl5ecXFxcXFxaksh6wXCoWisLCwra1txBdfN+TIsbGxfn5+Uql0ZDs2TJBvAAAjLyoqKjQ0NCws\njM7EAZ0qKSk5depUcXGx+keCRlPk1NTU8vLy8+fPs9nske3YMEG+AcDI7Ny5Mzs7u7W11cPDo6Cg\nQN/dGdTevXulUmlSUpJ+uzF//vxjx45RC8qN+shnz5599uxZSUmJtbX1iHdsmGA+NABGJjExMTEx\nUd+9oCUoKCgoKEjfvRhbFi9evHjxYn33YmDw/QYAAAATIN8AAABgAuQbAAAATIB8AwAAgAmMzhfI\nz89n8nQAMInm0pBGDS+RAv+RR5MHDx4wt9IrM4+VDq2wKwAAAF1jbH0BgjSo6tYAGAOCIPLy8las\nWKHvjgBgTOD+DQAAACZAvgEAAMAEyDcAAACYAPkGAAAAEyDfAAAAYALkGwAAAEyAfAMAAIAJkG8A\nAAAwAfINAAAAJkC+AQAAwATINwAAAJgA+QYAAAATIN8AAABgAuQbAAAATIB8AwAAgAmQbwAAADAB\n8g0AAAAmQL4BAADABMg3AAAAmAD5BgAAABMg3wAAAGAC5BsAAABMgHwDAACACZBvAAAAMAHyDQAA\nACZAvgEAAMAEyDcAAACYAPkGAAAAEyDfAAAAYALkGwAAAEyAfAMAAIAJkG8AAAAwAfINAAAAJhAk\nSeq7DwAYuvDw8Fu3blGbN27c8PDwsLa2xpsmJiafffaZi4uLnnoHgHEw1XcHADACDg4OBw8eVG6p\nqKig/u3p6QnJBgCNYDwNAM1ef/31wXaZmZmtWbOGwb4AYKxgPA0AWqZOnXrz5s0B/7/cunXL29ub\n+S4BYFzg+w0AtPztb38zMTFRaSQIYvr06ZBsAKAD8g0AtLz22msKhUKl0cTE5O9//7te+gOA0YHx\nNADo8vf3//777/v6+qgWgiDq6uqcnZ312CsAjAV8vwGArjfeeIMgCGqTxWK9+OKLkGwAoAnyDQB0\nhYaGKm8SBPG3v/1NX50BwOhAvgGArnHjxs2fP5+aNUAQREhIiH67BIARgXwDgBZWr16Nb3mamJgs\nWLDA1tZW3z0CwGhAvgFAC0uXLjUzM0MIkSS5evVqfXcHAGMC+QYALfD5/P/3//4fQsjMzGzhwoX6\n7g4AxgTyDQDaWbVqFUIoJCSEz+fruy8AGBPjfv4mNDS0oKBA370AAACGGPUnttGvDz179uzIyEh9\n9wIYitLS0vT09Ly8PJ2eJScnJywszNRUn/99Vq5cGRERIZFI9NgHwCT8u63vXgyL0X+/QQidPHlS\n3x0BhiI/P3/lypW6/q3u7u7mcrk6PYVGBEHk5eWtWLFCv90AjGHmd1un4P4NAFrTe7IBwBhBvgEA\nAMAEyDcAAACYAPkGAAAAEyDfAAAAYALkGwDQ+fPnLS0tP//8c313hDkXL16Mioo6deqUp6cnQRAE\nQbzxxhvKBwQFBQkEAhMTkylTpty4cUMvnYyLi/Px8REKhRwOx8vLa9u2be3t7coHHD9+fNasWQKB\nwN3dfe3atY8fP9Z7ZKyvry8tLc3f31+58dy5c8nJyf2r9o0hpDFbvnz58uXL9d0LYEDwkzfa/lRR\nUZFQKDx37pwuuqQjCKG8vLyh/WxMTMzChQtlMhneFIvFeOHRoqIi5cOKi4sXL1483I4OQ0BAQGZm\nZmNjo0wmy8vLY7PZL7/8MrU3NzcXIZScnNzS0lJWVubp6enn5yeXy/UbmSTJ3377bc6cOQih6dOn\nq+xKT08PCAhobm6mGUrZ0H63DYpx9x7yDVBh4P8nOzs7JRLJiIQacr5JSkry9vbu6uqiWsRi8bFj\nx1gslrOzc0tLC9Wu93wTHBzc29tLbeKHje7fv483AwMDx48f39fXhzcPHDiAELpy5Yp+I5eXly9d\nujQnJ8fPz69/viFJUiqVSiQS+tmLYuC/23TAeBoAzDly5Eh9fb0eO3D79u3o6Og9e/aoPELk7+8f\nERHx8OHDrVu36qtv/RUVFVHVhhBC48aNQwh1dnbizbq6OicnJ6riqqurK0Lo3r17+o08ffr0U6dO\nrVq1isPhDHhAbGxseXm5sa8UMDSQb8BYd+XKFTc3N4Ig8J+xWVlZfD7f3Nz87Nmzr7zyilAodHFx\nOXHiBD54//79XC7X3t7+rbfecnJy4nK5/v7+33//Pd4rlUrNzMwcHR3x5jvvvMPn8wmCaGhoQAhF\nRERs2bKlpqaGIAgvLy+E0JdffikUCvfu3cvYi92/fz9JkosWLeq/KyEhwdvb+/DhwxcvXhzwZ0mS\nTE1NnTx5MofDsba2XrJkya+//op3qb9oCCGFQhETE+Pm5sbj8aZNmza0BYcePnzI4/E8PDzwpqen\np3LyxrdYPD09DSpyf9bW1gEBAenp6aQxrxQwRHr+fjU8MJ4GVAxtzKGurg4hlJGRgTd37dqFELp0\n6VJra2t9ff3cuXP5fH5PTw/eGx4ezufzb9682d3dXVVVhe8qU0Mxq1atcnBwoCKnpKQghJ4+fYo3\nly1bJhaLqb1FRUUCgSAuLm4IrxQNaTzN09PTx8dHpVEsFtfW1pIkefXqVRaLJRKJ2tvbyX7jaTEx\nMWZmZkePHm1paamoqHjuuefGjRv3+PFjvFf9Rdu6dSuHwykoKGhubt65cyeLxbp+/bpWPe/o6BAI\nBFKplGopKSlhs9n79++XyWS//PLL5MmTFyxYoO0F0V3kP/3pTwOOp5EkGRUVhRAqKyvTKiCMpwEw\navn7+wuFQjs7u7CwsI6Ojvv371O7TE1N8Z/5Pj4+WVlZbW1t2dnZQzhFcHCwTCaLjo4euV6r09HR\nUVtbKxaLBztAIpFERkbevXt3x44dKru6urpSU1OXLl26evVqS0tLX1/fTz75pKGh4eDBg8qHDXjR\nuru7s7KyQkJCli1bZmVltXv3bjabre0VS0xMdHJySkhIoFoCAgK2b98ulUqFQuHUqVPb2toOHz6s\nVUxdRx7MhAkTEEKVlZUjGNMoQL4BQANc0FMulw+4d+bMmebm5tTIkiGrr68nSdLc3FzNMQkJCRMn\nTszMzLxy5Ypye1VVVXt7+8yZM6mWWbNmmZmZUWOJKpQv2q1btzo7O6dOnYp38Xg8R0dHra7Y6dOn\n8/PzL1y4IBAIqMZdu3YdPHjw0qVL7e3td+7c8ff3l0gk+KuqIURWA78FT548GamAxgLyDQDDxeFw\nnj59qu9eaNbd3Y0QGuw+NsblcrOzswmCWLduXVdXF9Xe0tKCELKwsFA+2MrKqq2tTeN5Ozo6EEK7\nd+8m/nDv3j3q5rxGubm5H374YUlJiUgkohp///335OTkN998c968eXw+35EgyycAACAASURBVMPD\n49ChQ48ePcIDmHqPrB6Px0N/vB1jCuQbAIZFLpe3tLS4uLjouyOa4Y85jc8bSiSSzZs3V1dXx8fH\nU41WVlYIIZXsQvOF29nZIYTS0tKUh/JLS0vp9DkjIyMnJ+frr78eP368cnt1dbVCoVBuFAqFNjY2\nVVVVdMLqNLJGPT096I+3Y0wx+nprAOhXSUkJSZKzZ8/Gm6ampoONvOmdvb09QRCtra0aj4yPjy8q\nKiorK3Nzc8MtU6dOtbCw+PHHH6ljvv/++56enueff15jNFdXVy6XW15erlVvSZLcsWNHc3NzYWFh\n/9J2OM/9/vvvVEtbW1tTUxOeu6yvyDTht8DBwWGkAhoL+H4DgNb6+vqam5t7e3srKioiIiLc3NzW\nrFmDd3l5eTU1NRUWFsrl8qdPn6o8tGFjY/Po0aO7d++2tbXJ5fLi4mIm50Obm5t7eno+ePBA45F4\nVE35CRUul7tly5bTp0/n5OTIZLLKysqNGzc6OTmFh4fTibZ27doTJ05kZWXJZDKFQvHgwQP8gR4W\nFubg4DDgejk3b9786KOPDh06xGazCSX79u1DCHl4eAQGBh46dOjy5ctdXV11dXW4J+vXr8c/rpfI\nNOG3wNfXd8gRjJU+JsWNGJgPDVQMYc5oRkYGfmLG3Nx80aJFmZmZ+HbuhAkTampqDh48KBQKEULu\n7u6//fYbSZLh4eFsNtvZ2dnU1FQoFC5ZsqSmpoaK1tjYGBgYyOVyPTw83n333ffffx8h5OXlhSdM\n37hxw93dncfjvfjii48fPz5//rxAIEhISBjCK0VDmg8tlUrZbHZnZyfePH36NJ6uNm7cuE2bNqkc\n/P777yvPh+7r60tJSZkwYQKbzba2tg4JCbl16xbepfGiPXv2bPv27W5ubqampnZ2dsuWLauqqiJJ\nMiQkBCEUExPTv6uDTd9KSUnBBzQ0NERERHh5eXE4HAsLizlz5pw5c4b6cb1EJkmytLR0zpw5Tk5O\nOKajo6O/v/+3336rfExwcLCzszO1fgFNo2A+tHH3HvINUMHA/8nw8HAbGxudnoKOoeWb6upqU1PT\no0eP6qJLQ6BQKObOnXvkyJGxE7mhoYHL5e7bt0/bHxwF+QbG0wDQmvEu8evl5RUXFxcXF6eyHLJe\nKBSKwsLCtra2sLCwsRM5NjbWz89PKpWObMeMAuQbndC42jllw4YNAoGAIAit7qYOuNo5Tbdu3Xr3\n3XenTJkiEAhMTU0tLS29vb2Dg4NpzhcaDjWXRXlhfMzMzMze3v6ll15KSUlpbm7Wdd/GjqioqNDQ\n0LCwMDoTB3SqpKTk1KlTxcXF6h8JGk2RU1NTy8vLz58/z2azR7ZjxkHfX7CGxWDH09Svdq4CLzNF\nf3ELNauda3T48GE2m/3nP//5yy+/bG5u7u7urqmpyc3N9ff3//TTT7WNpi2Nl0UsFltaWpIkiW/I\nf/PNN2vWrCEIwsnJiebyJ7oec4iKisJPMopEopMnT+ruRBqhYdQjIEnywoUL27dvH8H+AI0KCwsT\nExOV16XWyigYTzPu3htsvlG/2rkKrfKNxtXO1SgtLTUxMZk3b17/tdC//PJLavUw3dF4Wah8o+zk\nyZMsFsve3l55qfzBjIL/kzQNM98AozMKfrdhPE0n1K92roJa9pwOjaudq5GQkKBQKJKSkvo/c7Bg\nwYJNmzZpG1BbWl0WyvLly9esWVNfX//JJ5/otn8AAF0aK/nm6NGjM2fO5HK5fD5fJBLhB6fJoa6v\nPnnyZIIgWCzW888/jz8ut23bZmlpyeVy//3vf/c/u8pq5yRJpqSkTJw4kcPhWFpa4imzI0LN+vY9\nPT2XLl2ytbV94YUX1AfR12VRAz/dUlxcrPFIAIDh0vP3q+GhOZ6WlpaGEEpKSmpsbGxqavr0009X\nrVpFDmN99d7eXpFI5Obmpjw6FBkZqbJiB9Z/tfNdu3YRBPHPf/6zubm5s7MzMzMTab84+YCrnatZ\n3/63335DCM2ePVtjZH1dFnKQ8TSSJGUyGULI1dVVY+dHwZgDTQjG08aYUfC7bdy9p5Nvenp6rKys\nAgMDqZbe3t709PTOzk4LC4uwsDCq/YcffkAIUR/W+IOVKruLs8Lt27fxJs5h+fn5eLOjo8PNza21\ntbV/B3bt2uXt7U3Viu/s7DQ3N//rX/9KHaDtfAFMTXWNAeGVSP7yl7+oP0xflwUbLN+QJEkQhJWV\nlcaXOQr+T9IE+WasGQW/26N//bSKioqWlpYFCxZQLSYmJu+9996PP/445PXVEUIbNmyIjY1NT08P\nDQ1FCOXk5CxZsgQ/U60Mr3b+1VdfUaud3759u7Ozc/78+SP3EmnBK/tqvFkynGXn0TAui3odHR0k\nSfaPM5j8/HyaRxo1BqawA8MxCt7u0Z9v8FAMXt1W2XDWV8c/+Oabb6akpPzwww8vvPDCxx9/XFBQ\noHJMbm5uampqSUmJ8lqzeOkkvGIuk0QiEZfLxaNqaujrsqiHuz1p0iSax69cuZLmkUYtPT09PT1d\n370AgK7RP18Af6jhAvLKhrO+OoaXokpLS7t8+bKrq6tK2cTBVjvncrkIoWfPnmn5OoaLw+EsWLCg\noaHhv//9b/+9TU1NGzZsQPq7LOp9+eWXCKFXXnmF5vH6HjZgAoLxtDEGj6cZtdGfb0QikY2NzVdf\nfaXSPpz11TEXF5cVK1YUFBRER0dHRERQ7SRJbt++vbKysrCwUOWLAj4vi8X69ttvh/RqhiU2NpbD\n4WzevFm5jhb2yy+/4EnS+rosajx+/DgtLc3FxWXdunX0fwoAYGhGf77hcDg7d+68fPmyVCp9+PBh\nX19fW1vbzZs3h7O+OmXLli29vb3Nzc3z5s2jGtWvdo4Xxy0oKDhy5IhMJquoqFCpAD8c6te39/Pz\nO3bs2C+//DJ37tzz58+3trbK5fLa2tpDhw6tX78eL7Chr8tCIUmyvb0dL5379OnTvLy8OXPmmJiY\nFBYW0r9/AwAwRPr9hjhM9NcXOHDggK+vL5fL5XK5M2bMyMzMJIe3vjolMDDw8OHDyi0aVztva2vb\nsGGDra2thYXFiy++GBMTgxBycXH5+eefNb4Q9aud01nf/v79+1u3bvX19bWwsDAxMbGyspoxY8b6\n9ev/+9//4gP0clnOnTs3bdo0c3NzMzMzFouFEMIT0l544YW4uLjGxkaNVwYbBXN4aEIwnjbGjILf\nbYIkyRHOYAzCk6BOnjyp744AQ5Gfn79y5Uqj/q2miSCIvLw8vCYQGAtGwe/26B9PAwAAYAgg3xiQ\nX3/9lRjciFfyAAAAJkG+MSCTJk1SM/SZm5ur7w4CY3Xx4sWoqCjlIkNvvPGG8gFBQUECgcDExGTK\nlCk3btzQSyc1Vo2Sy+WJiYleXl5mZmZWVlZTp069e/eufiMnJydPmjSJx+Px+fxJkyZFR0fjB/40\nnvfcuXPJycnGW7hviJi5TaQjBluPAOjLKLinShOiPV8gJiZm4cKF1NJBYrHY1tYWIVRUVKR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Ht7Hz58+OLFiwP+LEmSqampkydP5nA41tbWS5Ys+fXXX/Eu9ZcIIaRQKGJiYtzc3Hg83rRp0/Af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NKdmzZw+xACOR+Xz+Tz/9dOnSJalUKpfLS0tLP/74Yz6fHxUVRSUygfiC3Nzc1M18BIN6A0as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\nAAAAAElFTkSuQmCC\n","text/plain":["<IPython.core.display.Image object>"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"code","metadata":{"id":"ClGykeZHdAdW","colab_type":"code","outputId":"a623b426-de5d-4777-b9df-421f15b17861","executionInfo":{"status":"ok","timestamp":1586121003683,"user_tz":240,"elapsed":251085,"user":{"displayName":"Guray Erus","photoUrl":"","userId":"15374812584437350386"}},"colab":{"base_uri":"https://localhost:8080/","height":332}},"source":["# train model for 5-digit classification [0..4]\n","train_model(model,\n","            (x_train_lt5, y_train_lt5),\n","            (x_test_lt5, y_test_lt5), num_classes)\n"],"execution_count":0,"outputs":[{"output_type":"stream","text":["x_train shape: (30596, 28, 28, 1)\n","30596 train samples\n","5139 test samples\n","Train on 30596 samples, validate on 5139 samples\n","Epoch 1/5\n","30596/30596 [==============================] - 49s 2ms/step - loss: 0.1637 - accuracy: 0.9488 - val_loss: 0.0325 - val_accuracy: 0.9905\n","Epoch 2/5\n","30596/30596 [==============================] - 49s 2ms/step - loss: 0.0491 - accuracy: 0.9860 - val_loss: 0.0159 - val_accuracy: 0.9944\n","Epoch 3/5\n","30596/30596 [==============================] - 48s 2ms/step - loss: 0.0319 - accuracy: 0.9907 - val_loss: 0.0134 - val_accuracy: 0.9944\n","Epoch 4/5\n","30596/30596 [==============================] - 48s 2ms/step - loss: 0.0272 - accuracy: 0.9917 - val_loss: 0.0078 - val_accuracy: 0.9971\n","Epoch 5/5\n","30596/30596 [==============================] - 48s 2ms/step - loss: 0.0221 - accuracy: 0.9930 - val_loss: 0.0083 - val_accuracy: 0.9967\n","Training time: 0:04:03.773571\n","Test score: 0.008321681414331934\n","Test accuracy: 0.9966919422149658\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"X9YOAZmJdBjl","colab_type":"code","colab":{}},"source":["# freeze feature  layers and rebuild model\n","for l in feature_layers:\n","    l.trainable = False\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"EWVcdPNfdFC1","colab_type":"code","outputId":"4913a4ed-22b4-48a7-acfe-4d82370c17e0","executionInfo":{"status":"ok","timestamp":1586121291108,"user_tz":240,"elapsed":85033,"user":{"displayName":"Guray Erus","photoUrl":"","userId":"15374812584437350386"}},"colab":{"base_uri":"https://localhost:8080/","height":332}},"source":["\n","# transfer: train dense layers for new classification task [5..9]\n","train_model(model,\n","            (x_train_gte5, y_train_gte5),\n","            (x_test_gte5, y_test_gte5), num_classes)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["x_train shape: (29404, 28, 28, 1)\n","29404 train samples\n","4861 test samples\n","Train on 29404 samples, validate on 4861 samples\n","Epoch 1/5\n","29404/29404 [==============================] - 17s 564us/step - loss: 0.0420 - accuracy: 0.9869 - val_loss: 0.0250 - val_accuracy: 0.9912\n","Epoch 2/5\n","29404/29404 [==============================] - 16s 556us/step - loss: 0.0394 - accuracy: 0.9884 - val_loss: 0.0227 - val_accuracy: 0.9934\n","Epoch 3/5\n","29404/29404 [==============================] - 16s 560us/step - loss: 0.0346 - accuracy: 0.9895 - val_loss: 0.0235 - val_accuracy: 0.9926\n","Epoch 4/5\n","29404/29404 [==============================] - 16s 559us/step - loss: 0.0337 - accuracy: 0.9892 - val_loss: 0.0233 - val_accuracy: 0.9924\n","Epoch 5/5\n","29404/29404 [==============================] - 16s 559us/step - loss: 0.0328 - accuracy: 0.9904 - val_loss: 0.0210 - val_accuracy: 0.9934\n","Training time: 0:01:22.717211\n","Test score: 0.02103791343513074\n","Test accuracy: 0.993416965007782\n"],"name":"stdout"}]}]}