aren't working on sort of core machine learning to apply transfer learning to all of their problems and nowhere is this more true than in medical imaging where where it's sort of the entire community has almost universally adopted transfer learning as this paradigm and what's the setup here well the setup here is that you take this sort of standard pre-trained imagenet model something large and complex like Inception v3 and then you and then you have sort of these pre trained weights on imagenet that you sort of downloaded from somewhere so