comparison toolboxes/FullBNT-1.0.7/netlab3.3/mlpunpak.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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-1:000000000000 0:e9a9cd732c1e
1 function net = mlpunpak(net, w)
2 %MLPUNPAK Separates weights vector into weight and bias matrices.
3 %
4 % Description
5 % NET = MLPUNPAK(NET, W) takes an mlp network data structure NET and a
6 % weight vector W, and returns a network data structure identical to
7 % the input network, except that the first-layer weight matrix W1, the
8 % first-layer bias vector B1, the second-layer weight matrix W2 and the
9 % second-layer bias vector B2 have all been set to the corresponding
10 % elements of W.
11 %
12 % See also
13 % MLP, MLPPAK, MLPFWD, MLPERR, MLPBKP, MLPGRAD
14 %
15
16 % Copyright (c) Ian T Nabney (1996-2001)
17
18 % Check arguments for consistency
19 errstring = consist(net, 'mlp');
20 if ~isempty(errstring);
21 error(errstring);
22 end
23
24 if net.nwts ~= length(w)
25 error('Invalid weight vector length')
26 end
27
28 nin = net.nin;
29 nhidden = net.nhidden;
30 nout = net.nout;
31
32 mark1 = nin*nhidden;
33 net.w1 = reshape(w(1:mark1), nin, nhidden);
34 mark2 = mark1 + nhidden;
35 net.b1 = reshape(w(mark1 + 1: mark2), 1, nhidden);
36 mark3 = mark2 + nhidden*nout;
37 net.w2 = reshape(w(mark2 + 1: mark3), nhidden, nout);
38 mark4 = mark3 + nout;
39 net.b2 = reshape(w(mark3 + 1: mark4), 1, nout);