Machine Learning, NLP, Deep Learning, Artificial Intelligence, AI.
looking at a GAN is as a generator network that is trained to produce realistic samples by introducing an adversary i.e. the discriminator network, whose job is to detect if a given sample is “real” or “fake”. Another way that I like to look at it is that the discriminator is a dynamically-updated