13b, slide 2: why does Geoffrey talk about vision & graphics?

Let's thoroughly compare bms & sbns. Last slide of 13b is an overview.

Is a mixture of gaussians like a causal model, like an energy based model, or like a deterministic feedforward network? argue.

make an SBN and write down all probabilities; then do inference