📄 netgrad.m
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function g = netgrad(w, net, x, t)%NETGRAD Evaluate network error gradient for generic optimizers%% Description%% G = NETGRAD(W, NET, X, T) takes a weight vector W and a network data% structure NET, together with the matrix X of input vectors and the% matrix T of target vectors, and returns the gradient of the error% function evaluated at W.%% See also% MLP, NETERR, NETOPT%% Copyright (c) Ian T Nabney (1996-2001)gradstr = [net.type, 'grad'];net = netunpak(net, w);g = feval(gradstr, net, x, t);
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