where we use one or few samples at the time but we reuse the samples many times and this is much harder to analyze this has much less kind of existing theory but that's the one we want to look at because it's used in practice and it can access you know non-trivial generalization gap then so can we do that so first of all the first step above which i didn't even talk before because it was obvious how bright and descends in the limit of small learning rate becomes gradient flow for the stochastic gradient descent is