In self-supervised learning, the algorithm trains on an unlabeled dataset and tries to extract information on its own by making predictions on certain characteristics of the data.
In self-supervised learning, the algorithm trains on an unlabeled dataset and tries to extract information on its own by making predictions on certain characteristics of the data.