to sort of set things up and then we're going to go into a little bit more detail and try how is pre-training affecting the actual features we're learning in our model and for this I'll also touch on some work we've been looking at on studying representational similarity of networks using canonical correlation analysis and then finally and very interestingly and also somewhat paradoxical we'll look at some feature independent properties of transfer that we see okay so the first yeah so I'm fine um so I think the