Backpropagation

Backpropagation is the algorithm that computes how much each weight in a neural network contributed to the error, by applying the chain rule backward from the output layer to the input layer.

Backpropagation sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Backprop, Backward pass.