mlpderiv

Purpose

Evaluate derivatives of network outputs with respect to weights.

Synopsis 

g = mlpderiv(net, x)

Description

g = mlpderiv(net, x) takes a network data structure net and a matrix of input vectors x and returns a three-index matrix g whose i, j, k element contains the derivative of network output k with respect to weight or bias parameter j for input pattern i. The ordering of the weight and bias parameters is defined by mlpunpak.

See Also

mlp, mlppak, mlpgrad, mlpbkp
Pages: Index

Copyright (c) Ian T Nabney (1996-9)