trying to be confident about it so it's trying to find a solution for the label data in such a manner that it will be pretty confident on the unlabeled data as well so this this is one way to do something special so very old idea and pseudo label this is a very similar idea and being see how it's actually similar but the goal here is to take your classifier that's being trained on label data and ask you to predict on unlabeled data and you pick the most confident predictions and you turn them into extra label layer as if that were the ground