Architecture guidelines for stable Deep Convolutional GANsReplace any pooling layers with strided convolutions (discriminator) and fractional-stridedconvolutions (generator).Use batchnorm in both the generator and the discriminator.Remove fully connected hidden layers for deeper architectures.Use ReLU activation in generator for all layers except for the output, which uses Tanh.Use LeakyReLU activation in the discriminator for all layers