hi there today we're looking at manifold mix-up better representations by interpolating hidden states by because Verma a tall number of big names on this paper as you can see and I also saw this at ICN also I was intrigued by it they proposed manifold mix-up which is sort of a regularizer of neural networks specifically of supervised learning and it's actually a pretty simple concept and they kind of show that it has some nice properties and outperforms of the regularizer z-- so what's the problem the problem is that if you look at this