Self-Taught Learning to Deep Networks

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(Feature Learning pipeline)
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== Overview ==
 
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  
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trained using logistic regression (or softmax regression).
trained using logistic regression (or softmax regression).
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== Fine-tuning ==
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But the form of our overall/final classifier is clearly just a whole big neural network.  So,
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But now, we notice that the form of our overall/final classifier is clearly just a whole big neural network.  So,
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having trained up an initial set of parameters for our model (training the first layer using an  
having trained up an initial set of parameters for our model (training the first layer using an  
autoencoder, and the second layer
autoencoder, and the second layer

Revision as of 05:55, 13 May 2011

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