you haven't heard this yet so I'm Gordon our facilitator is Florian so so today the paper we're going over is unsupervised data augmentation the primary author qi j xie and several other co-authors from google brain and carnegie mellon this is we're gonna go over motivation so deep learning is sorry typically requires a lot of labelled data in order to succeed and and label data is very expensive so that's one of the main motivations for this paper some of the less costly ways of applying improving deep learning are