Generative Adversarial Networks (GANs) are a two part process in which the generator learns from a discriminator. The descriminator is programmed to tell the difference between a real and fake image, and the generator learns from the descriminator and adjusts its generation process to “fool” it. The cover image for this post is an interpretation […]