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A fast learning algorithm for deep belief nets ∗ Geoffrey E. Hinton and Simon Osindero Yee-Whye Teh Department of Computer Science University of Toronto
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Document Date: 2008-10-31 15:01:14

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City

San Mateo / /

Country

Jordan / /

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Facility

Computer Science University of Toronto / Canadian Institute / Computer Science National University of Singapore / /

IndustryTerm

directed belief network / much bigger networks / up-down algorithm / wake-sleep algorithm / Diffusion networks / hybrid network / free energy / expected energy / weak learning algorithm / back-propagation algorithm / neural networks / belief networks / discriminative neural networks / final network / slower fine-tuning algorithm / convolutional neural network / good approximate solutions / feed-forward neural networks / energy / hierarchical products / discriminative learning algorithms / connected networks / neural network / greedy learning algorithm / multilayer networks / multi-layer directed networks / variational free energy / belief network / stochastic online learning / machine learning algorithm / greedy algorithm / infinite directed networks / hand-coded recognition algorithm / free-energy landscape / deeper networks / fine-tuning algorithm / pre-processing / learning algorithm / /

MarketIndex

set 10 / /

OperatingSystem

L3 / /

Organization

CFI and OIT / Optical Society of America / American Statistical Association / National University of Singapore / Canadian Institute for Advanced Research / NSERC / Gatsby Charitable Foundation / Simon Osindero Yee-Whye Teh Department / University of Toronto / Kings College / Pattern Analysis and Machine Intelligence / /

Person

Geoffrey E. Hinton / Horace Barlow / Max Welling / Radford Neal / Learning / Morgan Kaufmann / Zoubin Ghahramani / Peter Dayan / Yann Le Cun / Terry Sejnowski / Yee-Whye Teh / Andriy Mnih / Simon Osindero Yee-Whye / /

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Position

editor / model / Pθ∞ / feed-forward / Chair Research / /

ProvinceOrState

California / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Journal of the American Statistical Association / /

Technology

following greedy algorithm / discriminative learning algorithms / wake-sleep algorithm / fine-tuning algorithm / much slower fine-tuning algorithm / 3GHz Xeon processor / back-propagation algorithm / machine learning / same greedy algorithm / Image Processing / EM algorithm / up-down algorithm / learning algorithm / neural network / weak learning algorithm / hand-coded recognition algorithm / greedy algorithm / greedy learning algorithm / same learning algorithm / maximum likelihood Boltzmann machine learning algorithm / /

URL

http /

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