Machine Learning, Generative Model, Bayesian Machine Learning.
off of the discriminator’s loss, because it is essentially zero. Instead, the Wasserstein GAN proposes moving away from the framework of your discriminator outputting probabilities, and instead have it learn a generic function, where the only constraints are that it’s relatively smooth, and that it