Efficient and versatile data analytics for deep networks

Document typeConference report
Defense date2015-05-05
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
Abstract
Deep networks (DN) perform cognitive tasks related with image and text at human-level. To extract and exploit the knowledge coded within these networks we propose a framework which combines state-of-the-art technology in parallelization, storage and analysis. Our goal, to make DN models available to all data scientists.
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71-72 Efficient ... oral Symposium 2016-10.pdf | 652,5Kb | View/Open |
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