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padding='same')) #Batch normalization model.add(BatchNormalization()) #Leaky ReLU model.add(LeakyReLU(alpha=0.01)) # Transposed convolution layer, from 14x14x128 to 14x14x64 tensor model.add(Conv2DTranspose( 64, kernel_size=3, strides=1, padding='same')) # Batch normalization