backprop
Appearance
English
[edit]Etymology
[edit]Shortening of backpropagation.
Noun
[edit]backprop (uncountable)
- backpropagation
- 2015, Sanjeev Arora, Yingyu Liang, Tengyu Ma, “Why are deep nets reversible: A simple theory, with implications for training”, in arXiv[1]:
- 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.
- 2020, Timothy P. Lillicrap, Adam Santoro, Luke Marris, Colin J. Akerman, Geoffrey Hinton, “Backpropagation and the brain”, in Nature[2]:
- 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.