Deep Networks: Overview

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models.  The fine-tuning step can be done only using labeled data.  In
models.  The fine-tuning step can be done only using labeled data.  In
practice, by using unlabeled data to learn a good initial value for the weights in all layers
practice, by using unlabeled data to learn a good initial value for the weights in all layers
-
<math>\textstyle W^{(l)}</math>, we usually get much better classifiers  
+
<math>\textstyle W^{(l)}</math>, we usually get much better classifiers  
after fine-tuning.
after fine-tuning.

Revision as of 00:21, 12 May 2011

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