{"cells":[{"metadata":{},"cell_type":"markdown","source":"# MNIST Digits \n\nSelect whether to run a simple MLP or CNN network. The main code is the runner code near the bottom of the kernel.\n\n- Quick exploration of digit data\n- Use Keras to classify the digits\n- MLP architecture\n- CNN architecture"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nfrom matplotlib import pyplot as plt\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import classification_report, confusion_matrix, accuracy_score, balanced_accuracy_score, roc_auc_score, log_loss\nimport keras\nfrom keras.layers import Dense, Activation, Flatten, Conv2D, MaxPooling2D, Dropout\nfrom keras.layers.normalization import BatchNormalization\nfrom keras.models import Sequential","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Quick data shape exploration"},{"metadata":{"trusted":true},"cell_type":"code","source":"train = pd.read_csv('/kaggle/input/digit-recognizer/train.csv')\ny = train['label'].values\nX = train.drop(['label'], axis=1).values","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y.shape","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Define functions"},{"metadata":{"trusted":true},"cell_type":"code","source":"def normalise_data(x):\n    return x / 255.0","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def reshape(x, model='cnn'):\n    if model == 'mlp':\n        return x.reshape(x.shape[0], -1)  # -1 flattens rest of dimensions: no change\n    else:\n        # model == 'cnn'\n        return x.reshape(x.shape[0], 28, 28, 1)  # 1 for greyscale, 3 for rgb","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def one_hot(y):\n    return keras.utils.to_categorical(y, np.max(y) + 1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def model_performance(model, x_train, x_test, y_test):\n    predictions = model.predict(x_test)  # same as predict_proba in softmax output\n    y_pred = np.argmax(np.round(predictions), axis=1)\n    y_test_og = np.argmax(y_test, axis=1)\n\n    accuracy = accuracy_score(y_test_og, y_pred)\n    balanced_accuracy = balanced_accuracy_score(y_test_og, y_pred)\n    # auc = roc_auc_score(y_test_og, predictions)  # need 1-vs-all approach for auc-roc curve\n    loss = log_loss(y_test_og, predictions)\n    report = classification_report(y_test_og, y_pred)\n    matrix = confusion_matrix(y_test_og, y_pred)\n\n    tp = sum(np.diagonal(matrix))\n    fp = np.sum(matrix, axis=0) - tp\n    tn = 0  # must be computed per class\n    fn = np.sum(matrix, axis=1) - tp\n\n    print(f'training cases={x_train.shape[0]}, test cases={y_test.shape[0]}, possible outcomes={y_test.shape[1]}')\n    print(f'accuracy={accuracy:.2f}%, balanced_accuracy={balanced_accuracy:.2f}%, loss={loss:.3f}')\n    # print(f'auc={auc:.3f}')\n    print(report)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### MLP (Multilayer Perceptron)"},{"metadata":{"trusted":true},"cell_type":"code","source":"def mlp(x, y):\n    \"\"\"Multilayer Perceptron\"\"\"\n    # Initialise MLP\n    # Input layer with nodes=number of features in the dataset\n    model = Sequential()\n    # Hidden layer, one hidden layer is sufficient for the large majority of problems\n    model.add(Dense(512, activation='relu', input_shape=(x.shape[1],)))\n    model.add(Dropout(0.2))  # apply dropout to input, randomly setting a fraction rate of input units to 0 at each\n    # update during training time, which helps prevent overfitting\n    # Hidden layer, size between input and output layers\n    model.add(Dense(512, activation='relu'))\n    model.add(Dropout(0.2))\n    # Output layer, one node unless 'softmax' in multi-class problems\n    model.add(Dense(y.shape[1], activation='softmax'))\n    # Compile\n    model.compile(loss=keras.losses.categorical_crossentropy,  # 'sparse_categorical_crossentropy' doesn't require oh\n                  optimizer=keras.optimizers.RMSprop(),\n                  metrics=['accuracy'])  # more metric history available https://keras.io/metrics/\n    return model","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Image created using keras.utils import plot_model and pydot.\n\n![mlp.png](attachment:mlp.png)","attachments":{"mlp.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"### CNN (Convolutional Neural Network)"},{"metadata":{"trusted":true},"cell_type":"code","source":"def cnn(x, y):\n    \"\"\"Convolutional Neural Network\"\"\"\n    # Initialise CNN\n    # Input layer\n    model = Sequential()\n    # Hidden layer\n    model.add(Conv2D(64, (3, 3), input_shape=(x.shape[1], x.shape[2], 1)))  # 64 filters (output space), 3x3 convolution\n    # BatchNormalization() aids with overfitting, according to authors and Andrew Ng it should be applied immediately\n    # before activation function (non-linearity)\n    model.add(BatchNormalization())\n    model.add(Activation('relu'))  # rectified linear unit (fire or not)\n    model.add(MaxPooling2D(pool_size=(2, 2)))  # maximum value for each patch on feature map reduced by 2x2 pool_size\n    # Hidden layer\n    model.add(Conv2D(64, (3, 3)))\n    model.add(BatchNormalization())\n    model.add(Activation('relu'))\n    model.add(MaxPooling2D(pool_size=(2, 2)))\n    # Output Layer\n    model.add(Flatten())  # flattens the input\n    model.add(Dense(64))  # regular densely connected NN layer, no activation function means linear activation\n    model.add(Dense(y.shape[1]))  # can also do e.g. model.add(Dense(64, activation='tanh'))\n    model.add(BatchNormalization())\n    model.add(Activation('softmax'))  # softmax activation function as output, turns into weights that sum to 1\n    # Compile\n    model.compile(loss=keras.losses.categorical_crossentropy,\n                  optimizer=keras.optimizers.Adam(),\n                  metrics=['accuracy'])\n    return model","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Image created using keras.utils import plot_model and pydot (excludes BatchNormalization layers). \n\n![cnn.png](attachment:cnn.png)","attachments":{"cnn.png":{"image/png":"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"}}},{"metadata":{"trusted":true},"cell_type":"code","source":"def plot_model_history(metric):\n    plt.figure()\n    plt.plot(history.history[metric])\n    plt.plot(history.history[f'val_{metric}'])\n    plt.title(f'model {metric}')\n    plt.ylabel(f'{metric}')\n    plt.xlabel('epoch')\n    plt.legend(['train', 'test'], loc='upper left')\n    plt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**MLP (Multilayer Perceptron)**\n\nOverfitting is a common issue in deep learning models and despite using Dropout layers this is particularly evident in the loss plot. To minimise this the dropout should be increased or regularization layers introduced.\n\n![mlp_accuracy.png](attachment:mlp_accuracy.png)\n\n**CNN (Convolutional Neural Network)**\n\nThe CNN outperforms the MLP without overfitting. BatchNormalization layers are included when training with more data.\n\n![cnn_accuracy.png](attachment:cnn_accuracy.png)","attachments":{"mlp_accuracy.png":{"image/png":"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Define model to use"},{"metadata":{"trusted":true},"cell_type":"code","source":"ml_model = cnn","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Runner code"},{"metadata":{"trusted":true},"cell_type":"code","source":"# Load the train test data\ntrain = pd.read_csv('/kaggle/input/digit-recognizer/train.csv')\ny = train['label'].values\nX = train.drop(['label'], axis=1).values\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.05, random_state=38)\n\n# Normalise and shape data\nX_train, X_test = normalise_data(X_train), normalise_data(X_test)\nX_train, X_test = reshape(X_train, ml_model.__name__), reshape(X_test, ml_model.__name__)\ny_train, y_test = one_hot(y_train), one_hot(y_test)\n\n# Model\nmodel = ml_model(X_train, y_train)\nhistory = model.fit(X_train, y_train, validation_data=(X_test, y_test), batch_size=64, epochs=10)\n\n# Validate\nmodel.summary()\ntest_loss, test_accuracy = model.evaluate(X_test, y_test, batch_size=64, verbose=1)\nprint(f'test loss={test_loss}, test accuracy={test_accuracy}')\nplot_model_history('loss')\nplot_model_history('accuracy')\nmodel_performance(model, X_train, X_test, y_test)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Fit to competition data\n\nFirst retrain with 95% of training data (leave 5% to test)"},{"metadata":{"trusted":true},"cell_type":"code","source":"# Load and manipulate data\nx_test = pd.read_csv('/kaggle/input/digit-recognizer/test.csv')\nx_test = x_test.values\nx_test = normalise_data(x_test)\nx_test = reshape(x_test, ml_model.__name__)\n\n# Predict\ny_test = model.predict(x_test)\n\n# Manipulate submission format\nsubmission = pd.DataFrame({'Label': np.argmax(y_test, axis=1)})\nsubmission['ImageId'] = submission.index + 1\nsubmission = submission[['ImageId', 'Label']]\nsubmission.to_csv('/kaggle/working/digit-recognizer-submission.csv', index=False)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"This final CNN achieves ~98%, to improve the final accuracy we can expand the dataset via data augmentation e.g. image shifting, rotation, scaling, flipping, colour changing."}],"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}