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a guest Apr 20th, 2019 88 Never
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  1. from keras import layers
  2. from keras import models
  3.  
  4. model = models.Sequential()
  5. model.add(layers.Conv2D(32, kernel_size = (3,3), activation='relu', input_shape=(28,28,1)))
  6. model.add(layers.MaxPooling2D((2,2)))
  7. model.add(layers.Conv2D(64, kernel_size=(3,3), activation='relu'))
  8. model.add(layers.MaxPooling2D((2,2)))
  9. model.add(layers.Conv2D(64, kernel_size=(3,3), activation='relu'))
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