g = netderiv(w, net, x)
g = netderiv(w, net, x)
takes a weight vector w
and a network
data structure net
, together with the matrix x
of input
vectors, and returns the
gradient of the outputs with respect to the weights evaluated at w
.
netevfwd
, netopt
Copyright (c) Ian T Nabney (1996-9)