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Netlab Reference Manual mlpfwd
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<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 with
a matrix <CODE>x</CODE> of input vectors, and forward propagates the inputs
through the network to generate a matrix <CODE>y</CODE> of output
vectors. Each row of <CODE>x</CODE> corresponds to one input vector and each
row 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 hidden
unit 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 row
corresponds 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)
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