engineering class so that's what happened so this talk is trying to about unkind understand deep learning so motivate of course by this well-known paper I added an optimization at the end I think they forgot that they left out something pretty important there okay so understanding deep learning and we so there's obviously two aspects our goal is to minimize test error we want to do say multi-class classification as usual you can think of as two components an optimization error and the generalization error something