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author wolffd
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wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual mdngrad
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> mdngrad
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Evaluate gradient of error function for Mixture Density Network.
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Synopsis
wolffd@0 17 </h2>
wolffd@0 18 <PRE>
wolffd@0 19
wolffd@0 20 g = mdngrad(net, x, t)
wolffd@0 21 </PRE>
wolffd@0 22
wolffd@0 23
wolffd@0 24 <p><h2>
wolffd@0 25 Description
wolffd@0 26 </h2>
wolffd@0 27
wolffd@0 28 <CODE>g = mdngrad(net, x, t)</CODE> takes a mixture density network data
wolffd@0 29 structure <CODE>net</CODE>, a matrix <CODE>x</CODE> of input vectors and a matrix
wolffd@0 30 <CODE>t</CODE> of target vectors, and evaluates the gradient <CODE>g</CODE> of the
wolffd@0 31 error function with respect to the network weights. The error function
wolffd@0 32 is negative log likelihood of the target data. Each row of <CODE>x</CODE>
wolffd@0 33 corresponds to one input vector and each row of <CODE>t</CODE> corresponds to
wolffd@0 34 one target vector.
wolffd@0 35
wolffd@0 36 <p><h2>
wolffd@0 37 See Also
wolffd@0 38 </h2>
wolffd@0 39 <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>
wolffd@0 40 <b>Pages:</b>
wolffd@0 41 <a href="index.htm">Index</a>
wolffd@0 42 <hr>
wolffd@0 43 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 44 <p>David J Evans (1998)
wolffd@0 45
wolffd@0 46 </body>
wolffd@0 47 </html>