Overcoming the limitations of  back- propagation
	• Keep the efficiency and simplicity of using a gradient method for adjusting the weights, but use it for modeling the structure of the sensory input. – Adjust the weights to maximize the probability that a generative model would have produced the sensory input. – Learn p(image)  not  p(label | image) • If you want to do computer vision, first learn computer graphics • What kind of generative model should we learn?