row of this slide where I have taken several points on a one-dimensional number line and fitted a Gaussian density to them that's what we usually think of when we describe generative modeling but there's another way that you can build a generative model which is to take a machine that observes many samples from a distribution and then is able to create more samples from that same distribution generative adversarial networks primarily lie in the second category we're what we want to do is simply generate more samples rather than find