Machine Learning, Generative Model, Bayesian Machine Learning.
come out of the encoder, and the prior placed upon the z values, which will be what we sample from at test time. Day 8: GAN & Wasserstein GAN As I mentioned yesterday, I’m doing a set of three summaries about different machine learning solutions to the problem of building generative models; models