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Back-Propagation algorithm

The backpropagation algorithm consists of two phases: the forward phase where the activations are propagated from the input to the output layer, and the backward phase, where the error between the observed actual and the requested nominal value in the output layer is propagated backwards in order to modify the weights and bias values.

Figure 7:  Forward and backward propagation

Fri Jun 23 12:20:25 MET DST 1995