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

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/netlab3.3/mlpunpak.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,39 @@
+function net = mlpunpak(net, w)
+%MLPUNPAK Separates weights vector into weight and bias matrices. 
+%
+%	Description
+%	NET = MLPUNPAK(NET, W) takes an mlp network data structure NET and  a
+%	weight vector W, and returns a network data structure identical to
+%	the input network, except that the first-layer weight matrix W1, the
+%	first-layer bias vector B1, the second-layer weight matrix W2 and the
+%	second-layer bias vector B2 have all been set to the corresponding
+%	elements of W.
+%
+%	See also
+%	MLP, MLPPAK, MLPFWD, MLPERR, MLPBKP, MLPGRAD
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+% Check arguments for consistency
+errstring = consist(net, 'mlp');
+if ~isempty(errstring);
+  error(errstring);
+end
+
+if net.nwts ~= length(w)
+  error('Invalid weight vector length')
+end
+
+nin = net.nin;
+nhidden = net.nhidden;
+nout = net.nout;
+
+mark1 = nin*nhidden;
+net.w1 = reshape(w(1:mark1), nin, nhidden);
+mark2 = mark1 + nhidden;
+net.b1 = reshape(w(mark1 + 1: mark2), 1, nhidden);
+mark3 = mark2 + nhidden*nout;
+net.w2 = reshape(w(mark2 + 1: mark3), nhidden, nout);
+mark4 = mark3 + nout;
+net.b2 = reshape(w(mark3 + 1: mark4), 1, nout);