Deep Learning, Artificial Intelligence, Convolutional Network, Semi Supervised Learning, Image Classification.
with 32 maps and kernel size 3. Different ratios of labeled and unlabeled data are used. 1%, 5%, 10%, 20% and 100% of training samples are used as labeled data. Random crop and random rotation are used as data augmentation. When the number of labeled samples is small, the improvement is more