Created
March 17, 2020 10:59
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# Create Train and validation data to check the performance at each epoch | |
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42, test_size=0.2) | |
# Using Keras Sequential API to add neural network layers | |
model = keras.Sequential() | |
model.add(keras.layers.Conv2D(32, kernel_size=(3, 3),activation='relu',input_shape=(28,28,1))) | |
model.add(keras.layers.Conv2D(64, (3, 3), activation='relu')) | |
model.add(keras.layers.MaxPooling2D(pool_size=(2, 2))) | |
model.add(keras.layers.Dropout(0.25)) | |
model.add(keras.layers.Flatten()) | |
model.add(keras.layers.Dense(128, activation='relu')) | |
model.add(keras.layers.Dropout(0.5)) | |
model.add(keras.layers.Dense(10, activation='softmax')) |
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