do the did you need to assume that the task parameters are very close to each other for different tasks and so we studied this question by studying the expressive power of a single gradient step basically the update that's used in the mammal function and what we can say is that actually for sufficiently deep neural network function f the mammal function on the right can represent anything that the recurrent neural network can represent on the Left which is that it can represent any function of the training data and the test input and