transfer semi-supervised learning setting but with the exception that usually in transfer learning you assume that the the labeled data set is like super small which is not the case here and that's going to result in us being able to apply a different technique so this different technique is called the noisy student now usually what you might do in a transfer learning setting is you might want to start with that big data set right because that's the data set that's sizeable enough to allow you to train a really big model on it and then you