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		<title>Lantian Li 2015-10-12 - 版本历史</title>
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		<updated>2026-04-09T06:27:14Z</updated>
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	<entry>
		<id>http://cslt.org/mediawiki/index.php?title=Lantian_Li_2015-10-12&amp;diff=17090&amp;oldid=prev</id>
		<title>Lilt：以“Weekly Summary  1. Go on my deep speaker embedding tasks:  1). knowledge transfer for i-vector -- working with Zhiyuan Zhang.  Start to modify nnet-training objectiv...”为内容创建页面</title>
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				<updated>2015-10-13T08:30:06Z</updated>
		
		<summary type="html">&lt;p&gt;以“Weekly Summary  1. Go on my deep speaker embedding tasks:  1). knowledge transfer for i-vector -- working with Zhiyuan Zhang.  Start to modify nnet-training objectiv...”为内容创建页面&lt;/p&gt;
&lt;p&gt;&lt;b&gt;新页面&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Weekly Summary&lt;br /&gt;
&lt;br /&gt;
1. Go on my deep speaker embedding tasks:&lt;br /&gt;
&lt;br /&gt;
1). knowledge transfer for i-vector -- working with Zhiyuan Zhang.&lt;br /&gt;
&lt;br /&gt;
Start to modify nnet-training objective function. Using nnet-train-perutt instead of nnet-train-frame-shuff.&lt;br /&gt;
&lt;br /&gt;
2). Start my new task: metric learning using deep neural networks.&lt;br /&gt;
&lt;br /&gt;
The neural networks are trained using dropout. &lt;br /&gt;
&lt;br /&gt;
The results are still worse than the linear metric learning. &lt;br /&gt;
&lt;br /&gt;
2. Prepare my thesis proposal.&lt;br /&gt;
&lt;br /&gt;
Next Week&lt;br /&gt;
&lt;br /&gt;
1. Go on the task 1. &lt;br /&gt;
&lt;br /&gt;
Complete modifying the nnet-train-perutt code.&lt;br /&gt;
&lt;br /&gt;
Go on tuning the dropout parameter.&lt;br /&gt;
&lt;br /&gt;
2. Complete my thesis proposal report.&lt;/div&gt;</summary>
		<author><name>Lilt</name></author>	</entry>

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