parameters and allow for a more expressive gradient and so come my takeaway here is that there are a range of simple tricks that can help the optimization significantly great so before we move on to nonparametric methods let's take one question from the audience and potentially some subtitle questions do you know how Mammon compares to other first-order method learning algorithms particularly reptile by Jones shown many tail so you questions how does it compare to first-order algorithms like I mean can it get over some of these problems