MLVU 9.1: Generator networks
Channel: MLVU
Date: 2021-02-26

In this lecture we look at generative modeling. We start by setting up the basic ingredients we need: neural networks that behave like probability distributions. We see a few options, including mixture density networks, but the most important ingredient is the generator network.

slides:https://mlvu.github.io/lectures/51.Deep%20Learning2.annotated.pdf
lecturer: Peter Bloem