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Document Date: 2009-05-04 10:04:34Open Document File Size: 397,70 KBShare Result on FacebookCityCatanzaro / Montreal / Kim / /CompanyIBM / Neural Information Processing Systems / GPU / J. VLSI Signal Processing Systems / Nvidia / /CountryCanada / / /FacilityStanford University / /IndustryTermrecent deep belief network applications / machine learning algorithms / sparse coding algorithms / iterative algorithm / line search / document processing / stream processors / the same algorithm / convolutional networks / unsupervised learning algorithms / above algorithms / multicore hardware / deep belief networks / data processing / typical applications / bank / partial solution / graphics processors / graphics hardware / template algorithm / minimization algorithm / overall learning algorithm / large deep belief networks / natural language processing / machine learning applications / parallel algorithm / computing / overall algorithm / learning algorithm / learning algorithms / stream processor / /Organizationoffice of Naval Research / Stanford University / NYU / Association for Computational Linguistics / /PersonQuoc Le / Van De Geijn / Rajat Raina Anand Madhavan Andrew / Ethan Dreyfuss / Roger Grosse / Ian Goodfellow / Andrew Y. Ng / Field / /PositionD. J. / cA Hidden UnitsB wB / wB / Dean / author / Sparse deep belief net model for visual area V2 / /ProgrammingLanguageR / /ProvinceOrStateBritish Columbia / S. K. / /PublishedMediumComputational Linguistics / Machine Learning / /SportsLeagueStanford University / /TechnologyOur algorithm / above algorithms / RAM / stream processors / machine learning algorithms / Large-scale Deep Unsupervised Learning using Graphics Processors / overall algorithm / graphics processors / alternating minimization algorithm / machine translation / following iterative algorithm / GPUbased algorithm / machine learning / Operating System / following template algorithm / Shared Memory / inherently parallel algorithm / natural language processing / sparse coding algorithms / neural network / overall learning algorithm / using graphics processors / unsupervised algorithm / stream processor / Discussion Graphics processors / learning algorithms / caching / unsupervised learning algorithms / 8 stream processors / same algorithm / /SocialTag |