Machine Learning, Generative Model, Bayesian Machine Learning.
have very different values for the true vs the generated data. In this framework, even if the discriminator is very powerful, it won’t saturate at 0 and 1, and so it’s real-valued error function will more consistently leave the generator with something to train on. Empirically, when using this