Created
June 12, 2018 09:47
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| def baseline_model(): | |
| model=Sequential() | |
| model.add(Conv2D(32,(5,5),input_shape=(1,28,28),activation='relu')) | |
| model.add(MaxPooling2D(pool_size=(2,2))) | |
| model.add(Dropout(0.2)) | |
| model.add(Flatten()) | |
| model.add(Dense(128,activation='relu')) | |
| model.add(Dense(num_classes, activation='softmax')) | |
| model.compile(loss='categorical_crossentropy',optimizer='adam',metrics=['accuracy']) | |
| return model |
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