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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual netpak
5 </title>
6 </head>
7 <body>
8 <H1> netpak
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Combines weights and biases into one weights vector.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 w = netpak(net)
20 </PRE>
21
22
23 <p><h2>
24 Description
25 </h2>
26 <CODE>w = netpak(net)</CODE> takes a network data structure <CODE>net</CODE> and
27 combines the component weight matrices into a single row
28 vector <CODE>w</CODE>. The facility to switch between these two
29 representations for the network parameters is useful, for example, in
30 training a network by error function minimization, since a single
31 vector of parameters can be handled by general-purpose optimization
32 routines. This function also takes into account a <CODE>mask</CODE> defined
33 as a field in <CODE>net</CODE> by removing any weights that correspond to
34 entries of 0 in the mask.
35
36 <p><h2>
37 See Also
38 </h2>
39 <CODE><a href="net.htm">net</a></CODE>, <CODE><a href="netunpak.htm">netunpak</a></CODE>, <CODE><a href="netfwd.htm">netfwd</a></CODE>, <CODE><a href="neterr.htm">neterr</a></CODE>, <CODE><a href="netgrad.htm">netgrad</a></CODE><hr>
40 <b>Pages:</b>
41 <a href="index.htm">Index</a>
42 <hr>
43 <p>Copyright (c) Ian T Nabney (1996-9)
44
45
46 </body>
47 </html>