Deep Learning, Artificial Intelligence, Semi Supervised Learning, Data Augmentation, Image Classification.
augmented labeled examples X0 and a batch of augmented unlabeled examples with “guessed” labels U0. U0 and X0 are then used in computing separate labeled and unlabeled loss terms. More formally, the combined loss L for semi-supervised learning is defined: where H(p, q) is the cross-entropy between