{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":5610,"status":"ok","timestamp":1647182441919,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"},"user_tz":240},"id":"IzNjrLz5egYl"},"outputs":[],"source":["from __future__ import print_function\n","\n","import tensorflow as tf \n","import keras\n","from keras.datasets import mnist\n","from keras.models import Sequential\n","from keras.layers import Dense, Dropout, Flatten\n","from keras.layers import Conv2D, MaxPooling2D\n","from keras import backend as K\n"]},{"cell_type":"code","execution_count":2,"metadata":{"executionInfo":{"elapsed":17,"status":"ok","timestamp":1647182441921,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"},"user_tz":240},"id":"Pz9o_M-KelA9"},"outputs":[],"source":["\n","batch_size = 128\n","num_classes = 10\n","epochs = 12\n","\n","# input image dimensions\n","img_rows, img_cols = 28, 28\n"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":814,"status":"ok","timestamp":1647182442720,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"},"user_tz":240},"id":"vcIyvkISepBN","outputId":"ff59c34a-ac89-42f0-8a25-11f5fbd79a09"},"outputs":[{"output_type":"stream","name":"stdout","text":["x_train shape: (60000, 28, 28, 1)\n","60000 train samples\n","10000 test samples\n"]}],"source":["# the data, split between train and test sets\n","(x_train, y_train), (x_test, y_test) = mnist.load_data()\n","\n","if K.image_data_format() == 'channels_first':\n","    x_train = x_train.reshape(x_train.shape[0], 1, img_rows, img_cols)\n","    x_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols)\n","    input_shape = (1, img_rows, img_cols)\n","else:\n","    x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n","    x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n","    input_shape = (img_rows, img_cols, 1)\n","\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.np_utils.to_categorical(y_train, num_classes)\n","y_test = keras.utils.np_utils.to_categorical(y_test, num_classes)\n"]},{"cell_type":"markdown","metadata":{"id":"lHuNjd74UqU2"},"source":["**Model description**"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":412,"status":"ok","timestamp":1647182443129,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"},"user_tz":240},"id":"T13RpQ0EersL"},"outputs":[],"source":["model = Sequential()\n","model.add(Conv2D(32, kernel_size=(3, 3),\n","                 activation='relu',\n","                 input_shape=input_shape))\n","model.add(Conv2D(64, (3, 3), activation='relu'))\n","model.add(MaxPooling2D(pool_size=(2, 2)))\n","model.add(Dropout(0.25))\n","model.add(Flatten())\n","model.add(Dense(128, activation='relu'))\n","model.add(Dropout(0.5))\n","model.add(Dense(num_classes, activation='softmax'))\n"]},{"cell_type":"markdown","metadata":{"id":"2ZVxGWYXUv7T"},"source":["**Visualize the model**"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":976},"executionInfo":{"elapsed":392,"status":"ok","timestamp":1647182443515,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"},"user_tz":240},"id":"4mrZ8ccGUwa0","outputId":"f95fdcf0-506d-49b2-c9f9-e3cca04360f2"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<IPython.core.display.Image 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\n"},"metadata":{},"execution_count":5}],"source":["from keras.utils.vis_utils import plot_model\n","plot_model(model, show_shapes=True, show_layer_names=True)"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1647182443516,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"},"user_tz":240},"id":"XKCa2OzHeudM"},"outputs":[],"source":["model.compile(loss=keras.losses.categorical_crossentropy,\n","              optimizer=tf.keras.optimizers.Adadelta(),\n","              metrics=['accuracy'])"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IzUiciivexFd","executionInfo":{"status":"ok","timestamp":1647184266895,"user_tz":240,"elapsed":1823384,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"}},"outputId":"286b14f8-a367-4863-fa65-f02d8cb4abc3"},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/12\n","469/469 [==============================] - 152s 322ms/step - loss: 2.2853 - accuracy: 0.1440 - val_loss: 2.2401 - val_accuracy: 0.3025\n","Epoch 2/12\n","469/469 [==============================] - 149s 319ms/step - loss: 2.2096 - accuracy: 0.2709 - val_loss: 2.1427 - val_accuracy: 0.5774\n","Epoch 3/12\n","469/469 [==============================] - 152s 324ms/step - loss: 2.1070 - accuracy: 0.3898 - val_loss: 2.0075 - val_accuracy: 0.6674\n","Epoch 4/12\n","469/469 [==============================] - 150s 320ms/step - loss: 1.9678 - accuracy: 0.4766 - val_loss: 1.8295 - val_accuracy: 0.7110\n","Epoch 5/12\n","469/469 [==============================] - 151s 321ms/step - loss: 1.7959 - accuracy: 0.5395 - val_loss: 1.6154 - val_accuracy: 0.7498\n","Epoch 6/12\n","469/469 [==============================] - 149s 319ms/step - loss: 1.6022 - accuracy: 0.5897 - val_loss: 1.3878 - val_accuracy: 0.7750\n","Epoch 7/12\n","469/469 [==============================] - 150s 319ms/step - loss: 1.4190 - accuracy: 0.6272 - val_loss: 1.1815 - val_accuracy: 0.7942\n","Epoch 8/12\n","469/469 [==============================] - 148s 317ms/step - loss: 1.2640 - accuracy: 0.6551 - val_loss: 1.0142 - val_accuracy: 0.8068\n","Epoch 9/12\n","469/469 [==============================] - 149s 318ms/step - loss: 1.1364 - accuracy: 0.6782 - val_loss: 0.8848 - val_accuracy: 0.8194\n","Epoch 10/12\n","469/469 [==============================] - 150s 321ms/step - loss: 1.0415 - accuracy: 0.6967 - val_loss: 0.7887 - val_accuracy: 0.8289\n","Epoch 11/12\n","469/469 [==============================] - 148s 315ms/step - loss: 0.9647 - accuracy: 0.7142 - val_loss: 0.7151 - val_accuracy: 0.8369\n","Epoch 12/12\n","469/469 [==============================] - 148s 315ms/step - loss: 0.9049 - accuracy: 0.7269 - val_loss: 0.6575 - val_accuracy: 0.8446\n"]},{"output_type":"execute_result","data":{"text/plain":["<keras.callbacks.History at 0x7f20df231810>"]},"metadata":{},"execution_count":7}],"source":["model.fit(x_train, y_train,\n","          batch_size=batch_size,\n","          epochs=epochs,\n","          verbose=1,\n","          validation_data=(x_test, y_test))"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6365,"status":"ok","timestamp":1647184273256,"user":{"displayName":"Guray Erus","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiGnBNnSM10DAl86Xzx2wV9MnzBNDvcAv6FeVBn=s64","userId":"15374812584437350386"},"user_tz":240},"id":"xnZlunVbeg7V","outputId":"e7a3de42-6a43-4982-87d2-b3b8b45f53bf"},"outputs":[{"output_type":"stream","name":"stdout","text":["Test loss: 0.6575264930725098\n","Test accuracy: 0.8446000218391418\n"]}],"source":["\n","score = model.evaluate(x_test, y_test, verbose=0)\n","print('Test loss:', score[0])\n","print('Test accuracy:', score[1])"]}],"metadata":{"colab":{"collapsed_sections":[],"name":"DLBasics_SimpleCNN.ipynb","provenance":[],"authorship_tag":"ABX9TyNqpKyO6I5CukUC8E0gGMAQ"},"kernelspec":{"display_name":"Python 3","name":"python3"}},"nbformat":4,"nbformat_minor":0}