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Convolutional Networks for Image Processing (Part III)

8 input_img = Input (shape=(32,32,3)). 9 x = Conv2D(16, (3,3), activation='relu', padding='same') (input_img). 10 x = MaxPool2D((2,2), padding='same') (x).

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