The variational bound
				Each time we replace the prior over the hidden units by a better prior, we win by the difference in the probability assigned
			Now we cancel out all of the partition functions except the top one and replace log probabilities by goodnesses using the fact that:
		This has simple derivatives that give a more justifiable fine-tuning algorithm than contrastive wake-sleep.