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	<title>Comments on: Multi-Layered Neural Network</title>
	<atom:link href="http://www.shiffman.net/2006/11/10/multi-layered-neural-network/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/</link>
	<description></description>
	<lastBuildDate>Thu, 11 Mar 2010 19:49:23 +0000</lastBuildDate>
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		<title>By: Daniel</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-606777</link>
		<dc:creator>Daniel</dc:creator>
		<pubDate>Tue, 09 Feb 2010 03:30:40 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-606777</guid>
		<description>Whoops, the download links changed.  Check out: 
http://www.shiffman.net/teaching/nature/nn/</description>
		<content:encoded><![CDATA[<p>Whoops, the download links changed.  Check out:<br />
<a href="http://www.shiffman.net/teaching/nature/nn/" rel="nofollow">http://www.shiffman.net/teaching/nature/nn/</a></p>
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		<title>By: Rawad</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-606635</link>
		<dc:creator>Rawad</dc:creator>
		<pubDate>Mon, 08 Feb 2010 20:19:14 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-606635</guid>
		<description>Hi Daniel, 
Thanks for your effort. I tried to access the code but the page can not be found. Can you help in this please?

Thanks in advance</description>
		<content:encoded><![CDATA[<p>Hi Daniel,<br />
Thanks for your effort. I tried to access the code but the page can not be found. Can you help in this please?</p>
<p>Thanks in advance</p>
]]></content:encoded>
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		<title>By: Fergus Ray Murray</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-6150</link>
		<dc:creator>Fergus Ray Murray</dc:creator>
		<pubDate>Wed, 06 Dec 2006 08:57:25 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-6150</guid>
		<description>I love how gratuitously pretty you&#039;ve made this. :)

I&#039;ll be curious to see what else you come up with on the Neural Networks In Processing front (especially if you do make a library!) - I expect to be doing some experimenting in this area myself, for academic reasons (see http://www.mimeomai.f2s.com/oolong/ac/ if you&#039;re curious).</description>
		<content:encoded><![CDATA[<p>I love how gratuitously pretty you&#8217;ve made this. <img src='http://www.shiffman.net/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
<p>I&#8217;ll be curious to see what else you come up with on the Neural Networks In Processing front (especially if you do make a library!) &#8211; I expect to be doing some experimenting in this area myself, for academic reasons (see <a href="http://www.mimeomai.f2s.com/oolong/ac/" rel="nofollow">http://www.mimeomai.f2s.com/oolong/ac/</a> if you&#8217;re curious).</p>
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		<title>By: Kyle</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-5372</link>
		<dc:creator>Kyle</dc:creator>
		<pubDate>Mon, 13 Nov 2006 23:17:16 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-5372</guid>
		<description>It think Aaron Steed is in the middle of a backpropagation library already, actually: http://www.robotacid.com/PBeta/AILibrary/ (A more general connectionist library might be cool though, there are some other architectures people would appreciate...)</description>
		<content:encoded><![CDATA[<p>It think Aaron Steed is in the middle of a backpropagation library already, actually: <a href="http://www.robotacid.com/PBeta/AILibrary/" rel="nofollow">http://www.robotacid.com/PBeta/AILibrary/</a> (A more general connectionist library might be cool though, there are some other architectures people would appreciate&#8230;)</p>
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		<title>By: Daniel</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-5362</link>
		<dc:creator>Daniel</dc:creator>
		<pubDate>Mon, 13 Nov 2006 18:49:05 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-5362</guid>
		<description>Thanks for the comments Kyle.  After doing some further reading I came to similar conclusions.  I&#039;m going to make this example a bit more generic (maybe even turn it into a library) and investigate incorporating &quot;momentum&quot; into the weight changes. . .</description>
		<content:encoded><![CDATA[<p>Thanks for the comments Kyle.  After doing some further reading I came to similar conclusions.  I&#8217;m going to make this example a bit more generic (maybe even turn it into a library) and investigate incorporating &#8220;momentum&#8221; into the weight changes. . .</p>
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		<title>By: Kyle</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-5361</link>
		<dc:creator>Kyle</dc:creator>
		<pubDate>Mon, 13 Nov 2006 18:43:51 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-5361</guid>
		<description>I don&#039;t think you&#039;ve done anything wrong, one of the problems with backpropagation is that it sometimes converges on local minima (this is one of the reasons &quot;momentum&quot; is used during weight change). I get similar percentages of ~66% and ~98%: http://rpi.edu/~mcdonk/code/xor/ (My code allows for a more generic network structure but isn&#039;t quite as nicely packaged :) )</description>
		<content:encoded><![CDATA[<p>I don&#8217;t think you&#8217;ve done anything wrong, one of the problems with backpropagation is that it sometimes converges on local minima (this is one of the reasons &#8220;momentum&#8221; is used during weight change). I get similar percentages of ~66% and ~98%: <a href="http://rpi.edu/~mcdonk/code/xor/" rel="nofollow">http://rpi.edu/~mcdonk/code/xor/</a> (My code allows for a more generic network structure but isn&#8217;t quite as nicely packaged <img src='http://www.shiffman.net/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' />  )</p>
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		<title>By: Daniel</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-5204</link>
		<dc:creator>Daniel</dc:creator>
		<pubDate>Sat, 11 Nov 2006 02:28:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-5204</guid>
		<description>Train to an error of. . . what??  The suspense is killing me. . .</description>
		<content:encoded><![CDATA[<p>Train to an error of. . . what??  The suspense is killing me. . .</p>
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		<title>By: Steve</title>
		<link>http://www.shiffman.net/2006/11/10/multi-layered-neural-network/comment-page-1/#comment-5198</link>
		<dc:creator>Steve</dc:creator>
		<pubDate>Sat, 11 Nov 2006 00:10:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.shiffman.net/2006/11/10/multi-layered-neural-network/#comment-5198</guid>
		<description>Your network with two hidden nodes should train to a error of </description>
		<content:encoded><![CDATA[<p>Your network with two hidden nodes should train to a error of</p>
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