Self-Taught Learning to Deep Networks

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In the previous section, you used an autoencoder to learn features that were then fed as input  
In the previous section, you used an autoencoder to learn features that were then fed as input  
to a softmax or logistic regression classifier.  In that method, the features were learned using
to a softmax or logistic regression classifier.  In that method, the features were learned using
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the learned features using labeled data.  When you have a large amount of labeled
the learned features using labeled data.  When you have a large amount of labeled
training data, this can significantly improve your classifier's performance.
training data, this can significantly improve your classifier's performance.
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In self-taught learning, we first trained a sparse autoencoder on the unlabeled data.  Then,  
In self-taught learning, we first trained a sparse autoencoder on the unlabeled data.  Then,  

Revision as of 05:55, 13 May 2011

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