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| author | ziejd2 | 2018-03-14 23:23:33 -0500 |
|---|---|---|
| committer | GitHub | 2018-03-14 23:23:33 -0500 |
| commit | 1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch) | |
| tree | e0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/nethelp3.3/demprior.htm | |
| parent | 6882395afdadf4e982b25b5215071a0932730950 (diff) | |
| parent | c80226899f5cdd9f11c163817d59445213f5bef0 (diff) | |
| download | BNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz | |
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/nethelp3.3/demprior.htm')
| -rw-r--r-- | sourcecodes/bnt-master/nethelp3.3/demprior.htm | 44 |
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diff --git a/sourcecodes/bnt-master/nethelp3.3/demprior.htm b/sourcecodes/bnt-master/nethelp3.3/demprior.htm new file mode 100644 index 00000000..02f5a000 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demprior.htm @@ -0,0 +1,44 @@ +<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> \ No newline at end of file |