<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://machinelearning.subwiki.org/w/index.php?action=history&amp;feed=atom&amp;title=Random_initialization</id>
	<title>Random initialization - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://machinelearning.subwiki.org/w/index.php?action=history&amp;feed=atom&amp;title=Random_initialization"/>
	<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=Random_initialization&amp;action=history"/>
	<updated>2026-06-04T21:12:10Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.41.2</generator>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=Random_initialization&amp;diff=44&amp;oldid=prev</id>
		<title>Vipul: Created page with &quot;==Definition==  &#039;&#039;&#039;Random initialization&#039;&#039;&#039; is an approach used in iterative learning algorithms where the initial parameter vector is selected with its coordinates chosen...&quot;</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=Random_initialization&amp;diff=44&amp;oldid=prev"/>
		<updated>2014-06-18T23:47:49Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;==Definition==  &amp;#039;&amp;#039;&amp;#039;Random initialization&amp;#039;&amp;#039;&amp;#039; is an approach used in &lt;a href=&quot;/w/index.php?title=Iterative_learning_algorithm&amp;amp;action=edit&amp;amp;redlink=1&quot; class=&quot;new&quot; title=&quot;Iterative learning algorithm (page does not exist)&quot;&gt;iterative learning algorithms&lt;/a&gt; where the initial parameter vector is selected with its coordinates chosen...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;==Definition==&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Random initialization&amp;#039;&amp;#039;&amp;#039; is an approach used in [[iterative learning algorithm]]s where the initial parameter vector is selected with its coordinates chosen randomly. Random initialization works better than deterministic processes if we specifically want all coordinates of the parameter vector to be different so that they are capable of learning different features. This is particularly important in learning algorithms associated with [[neural network]]s.&lt;/div&gt;</summary>
		<author><name>Vipul</name></author>
	</entry>
</feed>