samples that come from the distribution that generated the data so let's look at the generator Network in a little bit more detail we can think of the generator network is being a very simple graphical model shown on the Left there's a vector of latent variable Z and there's a vector of observed variables X and depending on the model architecture we usually have every member of X depend on every layer of Z so every member of X 2 and on every member of Z so I've drawn this as just a simple vector-valued model where we see one edge you could