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Efficient and versatile data analytics for deep networks

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71-72 Efficient and versatile data analytics 3rd BSC International Doctoral Symposium 2016-10.pdf (652,5Kb)
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Cita com:
hdl:2117/90976

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Garcia Gasulla, DarioMés informacióMés informació
Moreno Vázquez, Jonatan
Espinosa-Oviedo, Javier A.
Conejero, Javier
Vargas-Solar, Genoveva
Badia Sala, Rosa MariaMés informacióMés informacióMés informació
Cortés García, Claudio UlisesMés informacióMés informacióMés informació
Suzumura, Toyotaro
Document typeConference report
Defense date2015-05-05
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
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.
CitationGarcia Gasulla, D. [et al.]. Efficient and versatile data analytics for deep networks. A: 3rd BSC International Doctoral Symposium. "Book of abstracts". Barcelona: Barcelona Supercomputing Center, 2015, p. 71-72. 
URIhttp://hdl.handle.net/2117/90976
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