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	<title>Thread:Talk:Firestarter/Version History/scale standard deviations to 1/reply (2) - Revision history</title>
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	<updated>2026-04-08T16:00:08Z</updated>
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		<title>Xor: Reply to scale standard deviations to 1</title>
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		<updated>2017-10-27T09:56:13Z</updated>

		<summary type="html">&lt;p&gt;Reply to &lt;a href=&quot;/wiki/Thread:Talk:Firestarter/Version_History/scale_standard_deviations_to_1/reply&quot; title=&quot;Thread:Talk:Firestarter/Version History/scale standard deviations to 1/reply&quot;&gt;scale standard deviations to 1&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Well, that's the easiest way I can think of... And it really surprised me that the standard deviation is almost the same for most bots. If so, then I think normalising standard deviation may not be that useful — since we already tune weights very hard. But for neural networks, I think this is invaluable, since we don't tune weights manually, and that would affect the learning speed a lot.&lt;/div&gt;</summary>
		<author><name>Xor</name></author>
		
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