think again this is a place where we can kind of revisit some of the theoretical ideas and see if we can do something better this process is like relatively ad-hoc and then finally one other paper that came out just earlier this year do better image net models transfer a better has this kind of makes us implicitly makes this very interesting observation that when you decide to do transfer learning you're not just taking the the features but you're also committing to an architecture it because you download them both together and if