mixmatch claims to have developed a technique to label the unlabeled data with much better accuracy than the present day there may supervise techniques as per the abstract of the paper mix match unifies the current dominant approaches used in semi-supervised learning to produce a new algorithm that works by guessing low entropy labels for data augmented unlabeled examples and mixing labeled and unlabeled data using mix up so before going to the actual algorithm let us just have a look at the key terms which will be used to