Efficient and versatile data analytics for deep networks
Cita com:
hdl:2117/90976
Document typeConference report
Defense date2015-05-05
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
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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.
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