and use that portion to train our model and this is fine in fact this is how a lot of data use for neural networks becomes labeled but you know if we have access to large amounts of data and we've only labeled some small portion of the data then what a waste it would be to just leave all the other unlabeled data on the table I mean after all we know the more data we have to train a model on the better and more robust our model will be so what can we do to make use of the remaining unlabeled data in our data set well one thing we can do is