Automatically finding the best Neural Network for your GAN

Generative Adversarial Networks (GANs) have been a hot topic in Deep Learning ever since their initial invention and publication at NIPS 2014. There's a good reason for it all: GANs can create new content based on only a small bit of guidance. It's that sort of creativity which makes them so powerful. Just to name a few there. With all of this, massive resources are being poured into GAN research to figure out both how they work and how to design the absolute best GAN networks.