Machine Learning, Generative Model, Bayesian Machine Learning.
that can learn about some problem to a sufficient degree that they can generate new samples from the input probability distribution. Yesterday, I focused on Variational AutoEncoders, which have their roots in latent variable probability models, and essentially use neural networks as stand-ins to