where you do not have the labels for this x-ray data set but other than in this x-ray example what we're going to look at is the small data set is going to be our imagenet database so our original picture with label database so you'll see immediately the difference here is that in the transfer learning setting we usually assume that the data set we want to train on is fairly small here you know imagenet is already sizeable but what we have is we have a much larger database of unlabeled images that we can just get