wolffd@0: wolffd@0:
wolffd@0:wolffd@0: g = netderiv(w, net, x)wolffd@0: wolffd@0: wolffd@0:
g = netderiv(w, net, x)
takes a weight vector w
and a network
wolffd@0: data structure net
, together with the matrix x
of input
wolffd@0: vectors, and returns the
wolffd@0: gradient of the outputs with respect to the weights evaluated at w
.
wolffd@0:
wolffd@0:
netevfwd
, netopt
Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: