Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/netlab3.3/netpak.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function w = netpak(net) | |
2 %NETPAK Combines weights and biases into one weights vector. | |
3 % | |
4 % Description | |
5 % W = NETPAK(NET) takes a network data structure NET and combines the | |
6 % component weight matrices into a single row vector W. The facility | |
7 % to switch between these two representations for the network | |
8 % parameters is useful, for example, in training a network by error | |
9 % function minimization, since a single vector of parameters can be | |
10 % handled by general-purpose optimization routines. This function also | |
11 % takes into account a MASK defined as a field in NET by removing any | |
12 % weights that correspond to entries of 0 in the mask. | |
13 % | |
14 % See also | |
15 % NET, NETUNPAK, NETFWD, NETERR, NETGRAD | |
16 % | |
17 | |
18 % Copyright (c) Ian T Nabney (1996-2001) | |
19 | |
20 pakstr = [net.type, 'pak']; | |
21 w = feval(pakstr, net); | |
22 % Return masked subset of weights | |
23 if (isfield(net, 'mask')) | |
24 w = w(logical(net.mask)); | |
25 end |