to why it's computational but this is kind of a new field I believe in machine learning at least I come from classical machine learning and we only ever have used like SGD to train and we only have her have produced models that one shot produce something and here we this is a I believe there's a new concept where you use gradient descent as part of the output and that makes a lot of trouble and so that's why we work in toy problems so what this this here is the situation I described you have a demo event where you're given the X and