question sort of like how much can you like kind of do like these are completely different datasets so I think that's also like a very interesting thing to look at um but okay so while we're kind of going ahead and sort of deploying all of these there's kind of this real challenge because even in the natural image setting we actually don't understand the effects of transfer learning that well so I'm gonna review some results which have just come out in literally the last year that have really challenged the common assumptions people