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first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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+<html>
+<head>
+<title>
+Netlab Reference Manual mdngrad
+</title>
+</head>
+<body>
+<H1> mdngrad
+</H1>
+<h2>
+Purpose
+</h2>
+Evaluate gradient of error function for Mixture Density Network.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+
+g = mdngrad(net, x, t)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+
+<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.
+
+<p><h2>
+See Also
+</h2>
+<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>
+<hr>
+<p>Copyright (c) Ian T Nabney (1996-9)
+<p>David J Evans (1998)
+
+</body>
+</html>
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