blob: 56887889f95a5f88edc2bf5973a360851613a48b (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
|
<html>
<head>
<title>
Netlab Reference Manual glmderiv
</title>
</head>
<body>
<H1> glmderiv
</H1>
<h2>
Purpose
</h2>
Evaluate derivatives of GLM outputs with respect to weights.
<p><h2>
Synopsis
</h2>
<PRE>
g = glmderiv(net, x)
</PRE>
<p><h2>
Description
</h2>
<CODE>g = glmderiv(net, x)</CODE> takes a network data structure <CODE>net</CODE> and a matrix
of input vectors <CODE>x</CODE> and returns a three-index matrix mat{g} whose
<CODE>i</CODE>, <CODE>j</CODE>, <CODE>k</CODE>
element contains the derivative of network output <CODE>k</CODE> with respect to
weight or bias parameter <CODE>j</CODE> for input pattern <CODE>i</CODE>. The ordering of the
weight and bias parameters is defined by <CODE>glmunpak</CODE>.
<p><h2>
See also
</h2>
<PRE>
glm, glmunpak, glmgrad</PRE>
<p><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
</body>
</html>
|
