Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision.
GANs: Replace any pooling layers with strided convolutions (discriminator) and fractional-strided convolutions (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