An introduction to deep learning

2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012

Volumn , Issue , 2012, Pages 1438-1439

  Lauzon, Francis Quintal ^a  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOENCODERS; CLASSIFICATION ERRORS; DE-NOISING; DEEP LEARNING; LOGISTIC REGRESSIONS; MULTIPLE LEVELS; UNDERLYING DISTRIBUTION;

INFORMATION SCIENCE; LOGISTICS; SIGNAL PROCESSING;

LEARNING SYSTEMS;

EID: 84868534364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2012.6310529     Document Type: Conference Paper

References (4)

1. Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition, " Proceedings of the Ieee, vol. 86, pp. 2278-2324, Nov 1998.
2. Y. Bengio, "Deep Learning of Representations for Unsupervised and Transfer Learning, " in Proceedings of the Unsupervised and Transfer Learning challenge and workshop, 2011.
3. D. Erhan, Y. Bengio, A. Courville, P. A. Manzagol, P. Vincent, and S. Bengio, "Why Does Unsupervised Pre-training Help Deep Learning?, " Journal of Machine Learning Research, vol. 11, pp. 625-660, Feb 2010.
4. P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol, "Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion, " Journal of Machine Learning Research, vol. 11, 2010.