バックプロパゲーション
1. back-propagation
2. BackpropagationBackpropagation is a common method of training artificial neural networks so as to minimize the objective function. Arthur E. Bryson and Yu-Chi Ho described it as a multi-stage dynamic system optimization method in 1969. It wasn't until 1974 and later, when applied in the context of neural networks and through the work of Paul Werbos, David E. Rumelhart, Geoffrey E. Hinton and Ronald J.
Read “Backpropagation” on English Wikipedia
Read “バックプロパゲーション” on Japanese Wikipedia
Read “Backpropagation” on DBpedia
Read “Backpropagation” on English Wikipedia
Read “バックプロパゲーション” on Japanese Wikipedia
Read “Backpropagation” on DBpedia
Discussions
Log in to talk about this word.