Created
November 25, 2018 18:59
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| model = Sequential() | |
| model.add(Conv2D(32, (3,3), padding="same", input_shape=(28,28,1), activation= "relu")) | |
| model.add(MaxPooling2D(pool_size=(3, 3))) | |
| model.add(Dropout(0.25)) | |
| model.add(Flatten()) | |
| model.add(Dense(128, activation="relu")) | |
| model.add(Dropout(0.5)) | |
| model.add(Dense(num_classes, activation='softmax')) |
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