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author wolffd
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wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual glmunpak
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> glmunpak
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Separates weights vector into weight and bias matrices.
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Synopsis
wolffd@0 17 </h2>
wolffd@0 18 <PRE>
wolffd@0 19 net = glmunpak(net, w)
wolffd@0 20 </PRE>
wolffd@0 21
wolffd@0 22
wolffd@0 23 <p><h2>
wolffd@0 24 Description
wolffd@0 25 </h2>
wolffd@0 26 <CODE>net = glmunpak(net, w)</CODE> takes a glm network data structure <CODE>net</CODE> and
wolffd@0 27 a weight vector <CODE>w</CODE>, and returns a network data structure identical to
wolffd@0 28 the input network, except that the first-layer weight matrix
wolffd@0 29 <CODE>w1</CODE> and the first-layer bias vector <CODE>b1</CODE> have
wolffd@0 30 been set to the corresponding elements of <CODE>w</CODE>.
wolffd@0 31
wolffd@0 32 <p><h2>
wolffd@0 33 See Also
wolffd@0 34 </h2>
wolffd@0 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>
wolffd@0 36 <b>Pages:</b>
wolffd@0 37 <a href="index.htm">Index</a>
wolffd@0 38 <hr>
wolffd@0 39 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 40
wolffd@0 41
wolffd@0 42 </body>
wolffd@0 43 </html>