samples from that probability distribution even if we don't necessarily know the density function if we draw simple as using a Markov chain that gives us one family of distributions of models of which the main example is the generative stochastic Network and then finally if we would like to draw samples directly we have models like generative adversarial networks or deep moment matching networks are both examples of models that can draw samples directly but don't necessarily represent a density function so now let's look at