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<html><head><title>Netlab Reference Manual mlphint</title></head><body><H1> mlphint</H1><h2>Purpose</h2>Plot Hinton diagram for 2-layer feed-forward network.<p><h2>Synopsis</h2><PRE>mlphint(net)[h1, h2] = mlphint(net)</PRE><p><h2>Description</h2><p><CODE>mlphint(net)</CODE> takes a network structure <CODE>net</CODE>and plots the Hinton diagram comprised of twofigure windows, one displaying the first-layer weights and biases, andone displaying the second-layer weights and biases.<p><CODE>[h1, h2] = mlphint(net)</CODE> also returns handles <CODE>h1</CODE> and <CODE>h2</CODE> to the figures which can be used, for instance, to delete the figures when they are no longer needed.<p>To print the figure correctly, you should call<CODE>set(h, 'InvertHardCopy', 'on')</CODE> before printing.<p><h2>See Also</h2><CODE><a href="demhint.htm">demhint</a></CODE>, <CODE><a href="hintmat.htm">hintmat</a></CODE>, <CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlppak.htm">mlppak</a></CODE>, <CODE><a href="mlpunpak.htm">mlpunpak</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
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