g = netgrad(w, net, x, t)
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.
mlp, neterr, netoptCopyright (c) Ian T Nabney (1996-9)