Two types of density model
	Stochastic generative model using directed acyclic graph (e.g. Bayes Net) Generation from model is easy Inference can be hard Learning is easy after inference			Energy-based models that associate an energy with each data vector Generation from model is hard Inference can be easy Is learning hard?