Deep Learning, Artificial Intelligence, Convolutional Network, Semi Supervised Learning, Image Classification.
significant. For example, when only 1% of labeled data is used, an improvement in accuracy is about 2.5 times by using unsupervised loss functions. As more labeled samples are added, the difference in accuracy between semi-supervised and supervised approaches becomes smaller. Error on test data for