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- from keras import layers
- from keras import models
- model = models.Sequential()
- model.add(layers.Conv2D(32, kernel_size = (3,3), activation='relu', input_shape=(28,28,1)))
- model.add(layers.MaxPooling2D((2,2)))
- model.add(layers.Conv2D(64, kernel_size=(3,3), activation='relu'))
- model.add(layers.MaxPooling2D((2,2)))
- model.add(layers.Conv2D(64, kernel_size=(3,3), activation='relu'))
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