Meanings
- uncountablebackpropagation
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, Tengyu Ma, “Why are deep nets reversible: A simple theory, with implications for training”, in arXiv1 more example
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, Adam Santoro, Luke Marris, Colin J. Akerman, Geoffrey Hinton, “Backpropagation and the brain”, in Nature
Origin
Shortening of backpropagation.
Full word history & related roots →Cite this entry
backprop. (n.d.). In WatkinsX Dictionary. Retrieved November 2, 2026, from https://dictionary.watkinsx.com/word/backprop
“backprop.” WatkinsX Dictionary, https://dictionary.watkinsx.com/word/backprop. Accessed November 2, 2026.
WatkinsX Dictionary, s.v. “backprop,” accessed November 2, 2026, https://dictionary.watkinsx.com/word/backprop.
Source: backprop on Wiktionary, CC BY-SA 4.0.