innovated their batch or instance normalization of how to design better architectures working on sampling and down something ops to use how do you how to do channels of sampling and done something without introducing a lot of parameters what is the right objective function for your discriminator and how to scale and train ganz in a stable manner for like larger problems and how to preserve it at various different levels like how do I instance noise a feature noise so that it can stabilize the training of the discriminator much