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An introduction to deep learning - 2012

An Introduction To Deep Learning

Research Area:  Machine Learning


Deep learning allows automatically learning multiple levels of representations of the underlying distribution of the data to be modeled. In this work, a specific implementation called stacked denoising autoencoders is explored. We contribute by demonstrating that this kind of representation coupled to a SVM improves classification error on MNIST over the usual deep learning approach where a logistic regression layer is added to the stack of denoising autoencoders.


Author(s) Name:  Francis Quintal Lauzon

Journal name:  

Conferrence name:  2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)

Publisher name:  IEEE

DOI:  10.1109/ISSPA.2012.6310529

Volume Information: