Glossary · Math & training
Backpropagation
An efficient application of the chain rule that propagates derivatives from a scalar loss backward through a computation graph. It computes gradients; an optimizer uses those gradients to update parameters.
Common confusion
Backpropagation calculates gradients. It does not choose the update rule or learning rate.
Related terms
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