The goal of learning
	• Maximize the product of the probabilities that the Boltzmann machine assigns to the vectors in the training set. – This is equivalent to maximizing the sum of the log probabilities of the training vectors. – It is also equivalent to maximizing the probabilities that we will observe those vectors on the visible units if we take random samples after the whole network has reached thermal equilibrium with no external input.