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Netlab Reference Manual mdngrad
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<H1> mdngrad
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Purpose
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Evaluate gradient of error function for Mixture Density Network.

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Synopsis
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<PRE>

g = mdngrad(net, x, t)
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Description
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<CODE>g = mdngrad(net, x, t)</CODE> takes a mixture density network data
structure <CODE>net</CODE>, a matrix <CODE>x</CODE> of input vectors and a matrix
<CODE>t</CODE> of target vectors, and evaluates the gradient <CODE>g</CODE> of the
error function with respect to the network weights. The error function
is negative log likelihood of the target data.  Each row of <CODE>x</CODE>
corresponds to one input vector and each row of <CODE>t</CODE> corresponds to
one target vector.

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See Also
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<CODE><a href="mdn.htm">mdn</a></CODE>, <CODE><a href="mdnfwd.htm">mdnfwd</a></CODE>, <CODE><a href="mdnerr.htm">mdnerr</a></CODE>, <CODE><a href="mdnprob.htm">mdnprob</a></CODE>, <CODE><a href="mlpbkp.htm">mlpbkp</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
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<p>Copyright (c) Ian T Nabney (1996-9)
<p>David J Evans (1998)

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