annotate toolboxes/FullBNT-1.0.7/netlab3.3/netpak.m @ 0:cc4b1211e677 tip

initial commit to HG from Changeset: 646 (e263d8a21543) added further path and more save "camirversion.m"
author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Daniel@0 1 function w = netpak(net)
Daniel@0 2 %NETPAK Combines weights and biases into one weights vector.
Daniel@0 3 %
Daniel@0 4 % Description
Daniel@0 5 % W = NETPAK(NET) takes a network data structure NET and combines the
Daniel@0 6 % component weight matrices into a single row vector W. The facility
Daniel@0 7 % to switch between these two representations for the network
Daniel@0 8 % parameters is useful, for example, in training a network by error
Daniel@0 9 % function minimization, since a single vector of parameters can be
Daniel@0 10 % handled by general-purpose optimization routines. This function also
Daniel@0 11 % takes into account a MASK defined as a field in NET by removing any
Daniel@0 12 % weights that correspond to entries of 0 in the mask.
Daniel@0 13 %
Daniel@0 14 % See also
Daniel@0 15 % NET, NETUNPAK, NETFWD, NETERR, NETGRAD
Daniel@0 16 %
Daniel@0 17
Daniel@0 18 % Copyright (c) Ian T Nabney (1996-2001)
Daniel@0 19
Daniel@0 20 pakstr = [net.type, 'pak'];
Daniel@0 21 w = feval(pakstr, net);
Daniel@0 22 % Return masked subset of weights
Daniel@0 23 if (isfield(net, 'mask'))
Daniel@0 24 w = w(logical(net.mask));
Daniel@0 25 end