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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/mdngrad.htm | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
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diff --git a/sourcecodes/bnt-master/nethelp3.3/mdngrad.htm b/sourcecodes/bnt-master/nethelp3.3/mdngrad.htm new file mode 100644 index 00000000..b3842991 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/mdngrad.htm @@ -0,0 +1,47 @@ +<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> \ No newline at end of file |