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authorziejd22018-03-14 23:23:33 -0500
committerGitHub2018-03-14 23:23:33 -0500
commit1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch)
treee0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/netlab3.3/netpak.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
parentc80226899f5cdd9f11c163817d59445213f5bef0 (diff)
downloadBNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
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+function w = netpak(net)
+%NETPAK	Combines weights and biases into one weights vector.
+%
+%	Description
+%	W = NETPAK(NET) takes a network data structure NET and combines the
+%	component weight matrices  into a single row vector W. The facility
+%	to switch between these two representations for the network
+%	parameters is useful, for example, in training a network by error
+%	function minimization, since a single vector of parameters can be
+%	handled by general-purpose optimization routines.  This function also
+%	takes into account a MASK defined as a field in NET by removing any
+%	weights that correspond to entries of 0 in the mask.
+%
+%	See also
+%	NET, NETUNPAK, NETFWD, NETERR, NETGRAD
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+pakstr = [net.type, 'pak'];
+w = feval(pakstr, net);
+% Return masked subset of weights
+if (isfield(net, 'mask'))
+   w = w(logical(net.mask));
+end
\ No newline at end of file