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Netlab Reference Manual glmderiv
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<H1> glmderiv
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<h2>
Purpose
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Evaluate derivatives of GLM outputs with respect to weights.

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Synopsis
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<PRE>

g = glmderiv(net, x)
</PRE>


<p><h2>
Description
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<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>.

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See also
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<PRE>
glm, glmunpak, glmgrad</PRE>


<p><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
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<p>Copyright (c) Ian T Nabney (1996-9)


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author	wolffd
date	Tue, 10 Feb 2015 15:05:51 +0000
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