that progress I have a few comments about exactly what it is that allows generally retro style networks to work well on kind of an intuitive level one of the main things that's really different about generative a dresser Nets compared to other approaches to machine learning is that they give a very nice way of telling the model that there are multiple correct answers so a lot of the time with supervised learning we use something like mean squared error to tell the model loads output should have been so on the Left I show a little