Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Semi Supervised Learning.
Notations For an L-class classification problem, let X={(xb, pb):b∈(1, …, B)} be a batch of B labeled examples, where xb are the training examples and pb are one-hot labels. Let U={ub:b∈(1, …, μB)} be a batch of μB unlabeled examples where μ is a hyperparameter that determines the relative sizes of