mlpfwd.htm

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<html><head><title>Netlab Reference Manual mlpfwd</title></head><body><H1> mlpfwd</H1><h2>Purpose</h2>Forward propagation through 2-layer network.<p><h2>Synopsis</h2><PRE>y = mlpfwd(net, x)[y, z] = mlpfwd(net, x)[y, z, a] = mlpfwd(net, x)</PRE><p><h2>Description</h2><CODE>y = mlpfwd(net, x)</CODE> takes a network data structure <CODE>net</CODE> together witha matrix <CODE>x</CODE> of input vectors, and forward propagates the inputsthrough the network to generate a matrix <CODE>y</CODE> of outputvectors. Each row of <CODE>x</CODE> corresponds to one input vector and eachrow of <CODE>y</CODE> corresponds to one output vector.<p><CODE>[y, z] = mlpfwd(net, x)</CODE> also generates a matrix <CODE>z</CODE> of the hiddenunit activations where each row corresponds to one pattern.<p><CODE>[y, z, a] = mlpfwd(net, x)</CODE> also returns a matrix <CODE>a</CODE> giving the summed inputs to each output unit, where each rowcorresponds to one pattern.<p><h2>See Also</h2><CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlppak.htm">mlppak</a></CODE>, <CODE><a href="mlpunpak.htm">mlpunpak</a></CODE>, <CODE><a href="mlperr.htm">mlperr</a></CODE>, <CODE><a href="mlpbkp.htm">mlpbkp</a></CODE>, <CODE><a href="mlpgrad.htm">mlpgrad</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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