Deep Learning, Artificial Intelligence, Convolutional Network, Semi Supervised Learning, Image Classification.
randomly activated. As a result, the network’s prediction can be different for multiple passes of the same training sample. The network’s prediction is expected to be the same despite transformations and disturbances. An unsupervised loss function is introduced that minimizes the mean squared