UFLDL Recommended Readings
From Ufldl
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Analyzing deep learning/why does deep learning work: | Analyzing deep learning/why does deep learning work: | ||
+ | * [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 |