UFLDL Recommended Readings

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Analyzing deep learning/why does deep learning work:  
Analyzing deep learning/why does deep learning work:  
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* [http://www.cs.toronto.edu/~larocheh/publications/deep-nets-icml-07.pdf] H. Larochelle, D. Erhan, A. Courville, J. Bergstra, and Y. Bengio. An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation. ICML 2007.
* Larochelle, Erhan, Courville, Bergstra, Bengio, ICML 2007.  (Someone read this and let us know if this is worth keeping,.)  
* Larochelle, Erhan, Courville, Bergstra, Bengio, ICML 2007.  (Someone read this and let us know if this is worth keeping,.)  
* [http://www.jmlr.org/papers/volume11/erhan10a/erhan10a.pdf] Dumitru Erhan, Yoshua Bengio, Aaron Courville, Pierre-Antoine Manzagol, Pascal Vincent, and Samy Bengio. Why Does Unsupervised Pre-training Help Deep Learning? JMLR 2010   
* [http://www.jmlr.org/papers/volume11/erhan10a/erhan10a.pdf] Dumitru Erhan, Yoshua Bengio, Aaron Courville, Pierre-Antoine Manzagol, Pascal Vincent, and Samy Bengio. Why Does Unsupervised Pre-training Help Deep Learning? JMLR 2010   

Revision as of 02:53, 1 March 2011

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