some other image and it'll say you know what I believe with probability greater than tau that this other image which came from the unlabeled set is also horse so now we are able to do the consistency regularization process not only with the image that was in our labeled set but also with the image that was in the unlabeled set and this now allows the model to learn more about horses then it knew from that from that one unlabeled image like we started off with unlabeled image it had particular characteristics