the performance of the student Network and the held-out validation set these are some examples of the most common target distributions our ground truth class label vectors Y that are used in machine learning the most common of which is one hot encoded vectors this is how datasets like C fart n are labeled if this is the case of a dog image in the class label corresponding to that image you'd have a one in the position of the dog index and then zero everywhere else for the other class labels so say one dog zero cat zero