possible that that complete covariance matrix at the last layer remove some of the blurriness but we no longer think that the choice of the divergence is really important to understanding how generative adversarial networks behave earlier I showed you a family tree of different generative models and I said we're going to pretend that all of them do maximum likelihood and clearly they don't actually do that now that we've seen how generative adversarial networks work in a little bit more detail we can actually start to describe exactly how