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	<title>Comments on: Log for last few weeks: November 27, 2009</title>
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	<link>http://www.fsavard.com/flow/2009/11/log-for-last-few-weeks-november-27-2009/</link>
	<description>Programming, personal knowledge management. Topics unstable.</description>
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		<title>By: Francois</title>
		<link>http://www.fsavard.com/flow/2009/11/log-for-last-few-weeks-november-27-2009/comment-page-1/#comment-7337</link>
		<dc:creator>Francois</dc:creator>
		<pubDate>Sat, 28 Nov 2009 14:04:05 +0000</pubDate>
		<guid isPermaLink="false">http://www.fsavard.com/flow/?p=542#comment-7337</guid>
		<description>Hi Hossein, I&#039;m surprised you found out about my blog so quick! :-)

The perceptron/really scaled down problem is another good idea, and I think I&#039;ll try it too when I get time to resume working on this.

There were two factors motivating using a CNN for the toy problem. The first is that I wasn&#039;t really sure how simple the architecture could get until the embedding cost became irrelevant/inapplicable. (Yet if it&#039;s supposed to work at such a small scale, then why not? My goal is also to boil it down to its simplest element, to understand what&#039;s going on.)

(The second factor is that, at any rate, I needed some toy problem to demonstrate the approach works for the term project I&#039;m working on this for.)

Thanks again for the suggestions.</description>
		<content:encoded><![CDATA[<p>Hi Hossein, I&#8217;m surprised you found out about my blog so quick! <img src='http://www.fsavard.com/flow/wp-includes/images/smilies/icon_smile.gif' alt=':-)' class='wp-smiley' /> </p>
<p>The perceptron/really scaled down problem is another good idea, and I think I&#8217;ll try it too when I get time to resume working on this.</p>
<p>There were two factors motivating using a CNN for the toy problem. The first is that I wasn&#8217;t really sure how simple the architecture could get until the embedding cost became irrelevant/inapplicable. (Yet if it&#8217;s supposed to work at such a small scale, then why not? My goal is also to boil it down to its simplest element, to understand what&#8217;s going on.)</p>
<p>(The second factor is that, at any rate, I needed some toy problem to demonstrate the approach works for the term project I&#8217;m working on this for.)</p>
<p>Thanks again for the suggestions.</p>
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		<title>By: Hossein Mobahi</title>
		<link>http://www.fsavard.com/flow/2009/11/log-for-last-few-weeks-november-27-2009/comment-page-1/#comment-7336</link>
		<dc:creator>Hossein Mobahi</dc:creator>
		<pubDate>Sat, 28 Nov 2009 12:42:51 +0000</pubDate>
		<guid isPermaLink="false">http://www.fsavard.com/flow/?p=542#comment-7336</guid>
		<description>By linearly separable, I did not mean perfect separation... I meant that by minimizing the squared error you should end up getting a good solution.</description>
		<content:encoded><![CDATA[<p>By linearly separable, I did not mean perfect separation&#8230; I meant that by minimizing the squared error you should end up getting a good solution.</p>
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		<title>By: Hossein Mobahi</title>
		<link>http://www.fsavard.com/flow/2009/11/log-for-last-few-weeks-november-27-2009/comment-page-1/#comment-7335</link>
		<dc:creator>Hossein Mobahi</dc:creator>
		<pubDate>Sat, 28 Nov 2009 08:33:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.fsavard.com/flow/?p=542#comment-7335</guid>
		<description>I am sorry that bug is not resolved yet. Maybe you want to use a single perceptron instead of a CNN for the toy problem. The toy problem is linearly separable, so using a single perceptron neuron is enough and it should simplify monitoring the weights and hopefully point you to the problem.</description>
		<content:encoded><![CDATA[<p>I am sorry that bug is not resolved yet. Maybe you want to use a single perceptron instead of a CNN for the toy problem. The toy problem is linearly separable, so using a single perceptron neuron is enough and it should simplify monitoring the weights and hopefully point you to the problem.</p>
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