backprop

Noun

1. backpropagation
   • 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. - 2015, Sanjeev Arora, Yingyu Liang,...
   • 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. - 2020, Timothy P. Lillicrap,...