{"cells":[{"metadata":{},"cell_type":"markdown","source":"# MNIST CNN \n\na handwritten single digit recognizer"},{"metadata":{},"cell_type":"markdown","source":"## CNN architecture\n![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{"trusted":true,"_uuid":"2dc4cb3acdea9893449c53f8edef4469cff60b56"},"cell_type":"code","source":"# Import Libraries\nimport numpy as np\nimport pandas as pd\nimport random\n\nimport tensorflow as tf\nimport tensorflow.keras as keras\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D\nfrom tensorflow.keras import backend as K\n\nimport matplotlib.pyplot as plt\nimport time\nfrom sklearn.model_selection import train_test_split","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"d29da23df818e7745768936653df29c5ecaa1be0"},"cell_type":"code","source":"# Load Dataset\ntrain = pd.read_csv(\"../input/train.csv\")\ntest = pd.read_csv(\"../input/test.csv\")\n\ny_train = train[\"label\"]\nX_train = train.drop(labels = [\"label\"],axis = 1) \nprint(X_train.shape) # shape of data","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"661eed25656acfe5116bd004c6778345237bbb98"},"cell_type":"code","source":"# Show image of training data\nplt.figure(figsize = (10, 10)) # set size of figure 10x10\nrand_indexes = np.random.randint(0, X_train.shape[0], 16) # select digit randomly\nfor index,im_index in enumerate(rand_indexes):\n    plt.subplot(4, 4, index+1)\n    plt.imshow(X_train.values[im_index].reshape(28,28), cmap = 'gray', interpolation = 'none')\n    plt.title('Class %d' % y_train[im_index])\nplt.tight_layout()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"020b69af0b1b40f5da1857d999e89e1f2f7b48bb"},"cell_type":"code","source":"# Prepare Dataset \nX_train = X_train.astype('float32') / 255\ntest = test.astype('float32')/255\n\nX_train = X_train.values.reshape(-1,28,28,1)\ntest = test.values.reshape(-1,28,28,1)\n\ny_train = keras.utils.to_categorical(y_train)\nnum_classes = y_train.shape[1]\n\nX_train, X_test, y_train, y_test = train_test_split(X_train, y_train, test_size = 0.2, random_state = int(time.time()))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"fa962e58f044307a2786ce0a3c6e4149db703c87"},"cell_type":"code","source":"# Build Model\nmodel = Sequential([\n# 1st Conv layer    \n        Conv2D(64, kernel_size = (3, 3), padding = 'same', activation = 'relu', input_shape = (28,28,1)),\n        MaxPool2D(pool_size = (2, 2)),\n        Dropout(0.25),\n# 2nd Conv layer        \n        Conv2D(64, kernel_size = (3, 3), activation = 'relu', padding = 'same'),\n        MaxPool2D(pool_size = (2, 2)),\n        Dropout(0.25),\n# Fully Connected layer        \n        Flatten(),        \n        Dense(128, activation = 'relu'),\n        Dropout(0.5),\n        Dense(num_classes, activation = 'softmax')\n    ])\n\nmodel.summary()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Compile Model\nmodel.compile(loss = 'categorical_crossentropy', optimizer = 'Adam' , metrics = ['accuracy'])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ad17eae7537fe8657be0c2adfe7638c1039dda82"},"cell_type":"code","source":"# Train Model\nmodel.fit(X_train, y_train, batch_size = 128, epochs = 20, validation_data = (X_test, y_test), verbose = 1);","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"bef1b63d5de51d3ec28dadb76fcdc66dc2f64211"},"cell_type":"code","source":"# Evaluate Model\nresult = model.evaluate(X_test, y_test, verbose = 0)\nprint('Accuracy: ', result[1])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Exercises:\n# 1. change Conv kernel_size from 5x5 to 3x3 (smaller filter)\n# 2. add 3rd Conv layer (128)\n# 3. double Conv in Conv layer  (add another Conv2D after Conv2D)\n# 4. double FC layers (add Dense(64))\n# 5. smaller batch_size\n# 6. train more epochs","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}