, which mixes elements of supervised and unsupervised methods. This technique uses a small quantity of labeled data and a larger level of unlabeled data, thereby increasing learning precision while cutting down the necessity for labeled data, which can be time and labor intense to procure.From the eighties, investigation on deep learning methods an