no it stops its learning like it's always changing zone on versatility the function is infinitely flat so in fact you can even grow the life some solar league rate of those convergence yeah you need sufficient design there's nothing okay so some random thoughts let me finish so of course we've seen now that by training Colonel training neural nets now stay close to initialization using a kernel classes so how'd it go beyond kernels UN's I mentioned this yesterday and of course one thing missing here is how will distributional assumptions help