techniques but in other situations maybe your meta learning maybe your supervised learning problem does have that structure and these approaches would definitely but definitely do well ok so let's move on to the optimization based approaches so now that we just kind of talked about one way to kind of make this approach more scalable is there a way to infer all of the parameters of the neural network in a way that's scalable without having to train a neural network to output all of the parameters in a particular as Sergei