Backpropagation

Appears in 1 paper · 1 tutorial

Short for "backward propagation of errors." The algorithm that computes the gradient of the loss function with respect to every weight in a multi-layer network, by applying the chain rule backwards from the output layer to the input layer.

As used in Paper 03 — Learning Representations by Back-propagating Errors →

Short for "backward propagation of errors." The algorithm that computes the gradient of the loss function with respect to every weight in a multi-layer network, by applying the chain rule backwards from the output layer to the input layer. The engine of all neural network training.

As used in Fine-Tuning & Model Customization →

The algorithm that computes the gradient for every weight efficiently. Done automatically by frameworks. (M03)