even though it's being presented in the UTA strikes so the uncolored data points are unlabeled data by the green and pink data points with a label here you only have roughly eight data points which are labeled but after performing virtual adversity of training after imposing the consistency between the model and the noise version of the model with a noise comes from that you can see how this labels propagated and covered up this federal so that's really cool so that's the goal of semi-square learning to do this really well in high dimensions when