Backprop

The generative model suggests a simple modification for training---use an input to produce several synthetic inputs with the same label, and include them in the backprop training.

In machine learning, backpropagation of error (‘backprop’) is the algorithm most often used to train deep neural networks and is the most successful learning procedure for these networks.