Machine Learning, Generative Model, Bayesian Machine Learning.
sample being generated or real. This had the effect of “saturating out” either at 0, or at 1, but in either case, the function goes nearly flat, and the gradient of the discriminator with respect to the generator is 0. This is deeply problematic, because if the discriminator isn’t generating any