Self-Taught Learning to Deep Networks

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features <math>\textstyle a</math>.  This is illustrated in the following diagram:  
features <math>\textstyle a</math>.  This is illustrated in the following diagram:  
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[[File:STL_SparseAE_Features.png|200px]]
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[[File:STL_SparseAE_Features.png|300px]]
We are interested in solving a classification task, where our goal is to
We are interested in solving a classification task, where our goal is to
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To illustrate this step, similar to [[Neural Networks|our earlier notes]], we can draw our logistic regression unit (shown in orange) as follows:
To illustrate this step, similar to [[Neural Networks|our earlier notes]], we can draw our logistic regression unit (shown in orange) as follows:
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[[File:STL_Logistic_Classifier.png|400px]]
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::::[[File:STL_Logistic_Classifier.png|380px]]
Now, consider the overall classifier (i.e., the input-output mapping) that we have learned  
Now, consider the overall classifier (i.e., the input-output mapping) that we have learned  

Revision as of 05:57, 13 May 2011

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