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+<html>
+<head>
+<title>
+Netlab Reference Manual demprior
+</title>
+</head>
+<body>
+<H1> demprior
+</H1>
+<h2>
+Purpose
+</h2>
+Demonstrate sampling from a multi-parameter Gaussian prior.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+demprior</PRE>
+
+
+<p><h2>
+Description
+</h2>
+This function plots the functions represented by a multi-layer perceptron
+network when the weights are set to values drawn from a Gaussian prior
+distribution. The parameters <CODE>aw1</CODE>, <CODE>ab1</CODE> <CODE>aw2</CODE> and <CODE>ab2</CODE> 
+control the inverse variances of the first-layer weights, the hidden unit 
+biases, the second-layer weights and the output unit biases respectively. 
+Their values can be adjusted on a logarithmic scale using the sliders, or 
+by typing values into the text boxes and pressing the return key. 
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="mlp.htm">mlp</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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