Two types of density model with hidden units
	Stochastic generative model using directed acyclic graph (e.g. Bayes Net) Generation from model is easy Inference is generally hard Learning is easy after inference				Energy-based models that associate an energy with each joint configuration Generation from model is hard Inference is generally hard Learning requires a negative phase that is even harder than inference
		This comparison looks bad for energy-based models