label data and you're able to do really well so this means that when you have the scenario are you using unlabeled data to improve the performance of supervised learning systems self supervised learning is not necessarily the only option semi-supervised learning is asked lucrative or probably even better because its ability to improve the performance even in the high data regimes and make it possible for building emotional classifiers that have an unprecedented top on accuracies like noisy student that's it for the lecture