Mercurial > hg > camir-aes2014

diff toolboxes/FullBNT-1.0.7/nethelp3.3/gbayes.htm @ 0:e9a9cd732c1e tip
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 gbayes
+</title>
+</head>
+<body>
+<H1> gbayes
+</H1>
+<h2>
+Purpose
+</h2>
+Evaluate gradient of Bayesian error function for network.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+g = gbayes(net, gdata)
+[g, gdata, gprior] = gbayes(net, gdata)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+<CODE>g = gbayes(net, gdata)</CODE> takes a network data structure <CODE>net</CODE> together 
+the data contribution to the error gradient
+for a set of inputs and targets.
+It returns the regularised error gradient using any zero mean Gaussian priors
+on the weights defined in
+<CODE>net</CODE>.  In addition, if a <CODE>mask</CODE> is defined in <CODE>net</CODE>, then
+the entries in <CODE>g</CODE> that correspond to weights with a 0 in the
+mask are removed.
+
+<p><CODE>[g, gdata, gprior] = gbayes(net, gdata)</CODE> additionally returns the
+data and prior components of the error.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="errbayes.htm">errbayes</a></CODE>, <CODE><a href="glmgrad.htm">glmgrad</a></CODE>, <CODE><a href="mlpgrad.htm">mlpgrad</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</a></CODE><hr>
+<b>Pages:</b>
+<a href="index.htm">Index</a>
+<hr>
+<p>Copyright (c) Ian T Nabney (1996-9)
+
+
+</body>
+</html>
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