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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual glmunpak
5 </title>
6 </head>
7 <body>
8 <H1> glmunpak
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Separates weights vector into weight and bias matrices.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 net = glmunpak(net, w)
20 </PRE>
21
22
23 <p><h2>
24 Description
25 </h2>
26 <CODE>net = glmunpak(net, w)</CODE> takes a glm network data structure <CODE>net</CODE> and
27 a weight vector <CODE>w</CODE>, and returns a network data structure identical to
28 the input network, except that the first-layer weight matrix
29 <CODE>w1</CODE> and the first-layer bias vector <CODE>b1</CODE> have
30 been set to the corresponding elements of <CODE>w</CODE>.
31
32 <p><h2>
33 See Also
34 </h2>
35 <CODE><a href="glm.htm">glm</a></CODE>, <CODE><a href="glmpak.htm">glmpak</a></CODE>, <CODE><a href="glmfwd.htm">glmfwd</a></CODE>, <CODE><a href="glmerr.htm">glmerr</a></CODE>, <CODE><a href="glmgrad.htm">glmgrad</a></CODE><hr>
36 <b>Pages:</b>
37 <a href="index.htm">Index</a>
38 <hr>
39 <p>Copyright (c) Ian T Nabney (1996-9)
40
41
42 </body>
43 </html>