{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Convolutional Neural Network"},{"metadata":{},"cell_type":"markdown","source":"## Libraries and Utilities"},{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport random\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nimport warnings\n# filter warnings\nwarnings.filterwarnings('ignore')\nfrom sklearn.metrics import confusion_matrix\nimport itertools\nfrom keras.utils.np_utils import to_categorical # convert to one-hot-encoding\nfrom keras.models import Sequential\nfrom keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D\nfrom keras.optimizers import RMSprop,Adam\nfrom keras.preprocessing.image import ImageDataGenerator\nfrom keras.callbacks import ReduceLROnPlateau\nfrom sklearn.model_selection import train_test_split\nfrom keras.utils.np_utils import to_categorical \nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Loading Data"},{"metadata":{"trusted":true},"cell_type":"code","source":"# read train \ntrain = pd.read_csv(\"/kaggle/input/digit-recognizer/train.csv\")\nprint(train.shape)\ntrain.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = pd.read_csv(\"/kaggle/input/digit-recognizer/test.csv\")\nprint(test.shape)\ntest.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# put labels into y_train variable\nY_train = train[\"label\"]\n# Drop 'label' column\nX_train = train.drop(labels = [\"label\"],axis = 1)\nY_train.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Visualization"},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(15,7))\ng = sns.countplot(Y_train, palette = 'bright')\nplt.title(\"Number of Digit Classes\", size = 18)\nplt.xlabel(\"Digits\", size = 12)\nplt.ylabel(\"Count\", size =12)\nY_train.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"rows = 4\ncols = 4\nf = plt.figure(figsize=(2*cols,2*rows)) # defining a figure \nfor i in range(rows*cols): \n    f.add_subplot(rows,cols,i+1) # adding sub plot to figure on each iteration\n    img = X_train.iloc[i].to_numpy()\n    img = img.reshape((28,28))\n    plt.imshow(img,cmap='gray')\n    plt.axis(\"off\")\n    plt.title(str(Y_train[i]), y=-0.15,color=\"red\")\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Normalization"},{"metadata":{},"cell_type":"markdown","source":"We perform a grayscale normalization to reduce the effect of illuminations differences."},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train = X_train / 255.0\ntest = test / 255.0\nprint(\"X_train Shape: \",X_train.shape)\nprint(\"Test Shape: \",test.shape)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Reshape"},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train = X_train.values.reshape(-1,28,28,1)\ntest = test.values.reshape(-1,28,28,1)\nprint(\"X_train Shape: \",X_train.shape)\nprint(\"Test Shape: \",test.shape)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Label Encoding"},{"metadata":{"trusted":true},"cell_type":"code","source":"Y_train = to_categorical(Y_train, num_classes = 10)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Train Test Split"},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train, X_val, Y_train, Y_val = train_test_split(X_train, Y_train, test_size = 0.1, random_state=2)\nprint(\"x_train shape\",X_train.shape)\nprint(\"x_test shape\",X_val.shape)\nprint(\"y_train shape\",Y_train.shape)\nprint(\"y_test shape\",Y_val.shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(X_train[2][:,:,0],cmap='gray')\nplt.axis(\"off\")\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Implementing with Keras"},{"metadata":{},"cell_type":"markdown","source":"![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{"trusted":true},"cell_type":"code","source":"model = Sequential()\n\nmodel.add(Conv2D(filters = 8, kernel_size = (5,5),padding = 'Same', \n                 activation ='relu', input_shape = (28,28,1)))\nmodel.add(MaxPool2D(pool_size=(2,2)))\nmodel.add(Dropout(0.25))\n\nmodel.add(Conv2D(filters = 16, kernel_size = (3,3),padding = 'Same', \n                 activation ='relu'))\nmodel.add(MaxPool2D(pool_size=(2,2), strides=(2,2)))\nmodel.add(Dropout(0.25))\n\nmodel.add(Flatten())\nmodel.add(Dense(256, activation = \"relu\"))\nmodel.add(Dropout(0.5))\nmodel.add(Dense(10, activation = \"softmax\"))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Define Optimizer"},{"metadata":{},"cell_type":"markdown","source":"We can change the learning rate with Adam Optimizer."},{"metadata":{"trusted":true},"cell_type":"code","source":"optimizer = Adam(lr=0.001, beta_1=0.9, beta_2=0.999)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Compile Model"},{"metadata":{"trusted":true},"cell_type":"code","source":"model.compile(optimizer = optimizer , loss = \"categorical_crossentropy\", metrics=[\"accuracy\"])","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Epochs and Batch Size"},{"metadata":{},"cell_type":"markdown","source":"Say you have a dataset of 10 examples (or samples). You have a batch size of 2, and you've specified you want the algorithm to run for 3 epochs. Therefore, in each epoch, you have 5 batches (10/2 = 5). Each batch gets passed through the algorithm, therefore you have 5 iterations per epoch."},{"metadata":{"trusted":true},"cell_type":"code","source":"epochs = 20\nbatch_size = 250","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Data Augmentation"},{"metadata":{"trusted":true},"cell_type":"code","source":"## https://stackoverflow.com/questions/43382045/keras-realtime-augmentation-adding-noise-and-contrast\ndef add_noise(img):\n    '''Add random noise to an image'''\n    VARIABILITY = 50\n    deviation = VARIABILITY*random.random()\n    noise = np.random.normal(0, deviation, img.shape)\n    img += noise\n    np.clip(img, 0., 255.)\n    return img\n\ndatagen = ImageDataGenerator(\n        rescale=1./255,\n        rotation_range=40,\n        width_shift_range=0.2,\n        height_shift_range=0.2,\n        zoom_range=0.2,\n        preprocessing_function=add_noise,\n    )\ndatagen.fit(X_train)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Fit the Model"},{"metadata":{"trusted":true},"cell_type":"code","source":"history = model.fit_generator(datagen.flow(X_train,Y_train, batch_size=batch_size),\n                              epochs = epochs, validation_data = (X_val,Y_val), steps_per_epoch=X_train.shape[0] // batch_size)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Evaluate the Model"},{"metadata":{},"cell_type":"markdown","source":"### Test Loss"},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(6,4))\nplt.plot(history.history['val_loss'], color='b', label=\"validation loss\")\nplt.title(\"Test Loss\")\nplt.xlabel(\"Number of Epochs\")\nplt.ylabel(\"Loss\")\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Test Accuracy"},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(6,4))\nplt.plot(history.history['accuracy'], color='r', label=\"accuracy\")\nplt.title(\"Test Accuracy\")\nplt.xlabel(\"Number of Epochs\")\nplt.ylabel(\"Accuracy\")\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Confusion Matrix"},{"metadata":{"trusted":true},"cell_type":"code","source":"Y_pred = model.predict(X_val)\nY_pred_classes = np.argmax(Y_pred,axis = 1) \nY_true = np.argmax(Y_val,axis = 1) \nconfusion_mtx = confusion_matrix(Y_true, Y_pred_classes) \nf,ax = plt.subplots(figsize=(8, 8))\nsns.heatmap(confusion_mtx, annot=True, linewidths=0.01,cmap=\"Blues\",linecolor=\"gray\", fmt= '.1f',ax=ax)\nplt.xlabel(\"Predicted Label\")\nplt.ylabel(\"True Label\")\nplt.title(\"Confusion Matrix\")\nplt.show()","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}