comparing it to other kind of regularization techniques and showing that none of them really does this so manifold mix-up is this basically what you do is when you train a neural network you have input data and you take mini batches of input data specifically you take two mini batches x and y and X prime Y Prime all right and then what you do is if I have the draw the neural network here so here is the inputs like a picture of a cat [Music] it goes through layers right and then what you do is you say at some