Deep Learning, Artificial Intelligence, Convolutional Network, Semi Supervised Learning, Image Classification.
based on this labeled set only. Then, the models are trained by adding unsupervised loss functions. In separate experiments, transformation/stability loss function, mutual-exclusivity loss function and the combination of both, are added. The state-of-the-art Maxout [40] obtains error rate of 0.24%