How are Bayesian networks related to deep belief networks? Are they the same?
From the post What is the difference between a neural network and a deep belief network?,
I gathered that deep belief networks are like deep neural networks where the weights and biases are set by iterations of an unsupervised algorithm. (I hope I'm understanding that right anyway.)