Machine Learning, Generative Model, Bayesian Machine Learning.
“Generative” I’ve just explained, and “Network” is self-evident; the interesting bit here is “Adversarial”. The best intuition I’ve found for GANs comes from starting at the problem of: what is the best way to formulate a loss function, that will give you a gradient that you can learn a neural net