and I should say right now the the reason why neural nets work so well on image net is not just that it has 1 million training samples it's that it has 1,000 categories having a problem with lots of categories helps a lot to kind of construct good representations and then reinforcement learning is a very very weak feedback you're only telling the Machine once in a while you got it right or you get it wrong you're giving just a scalar value it's absolutely no way that a machine can learn anything complex without lots