training
Backpropagation
The algorithm used to compute gradients of the loss function with respect to each parameter in a neural network by propagating errors backward through the layers. Backpropagation enables efficient training of deep networks using gradient descent.
In practice
When a model makes a wrong prediction, backpropagation traces the error back through layers to determine which weights to adjust.