view the mammal algorithm as a computation graph just with this funny embedded gradient operator within it and so I really you can just view it as a very similar approach for doing it but one that has a lot more structure the structure namely of optimization within it and also with this view that means that we can very naturally mix and match components of these different approaches so for example one of the things we could do is learn the initialization that that mammal is doing but also learn learn how to make gradient updates the