Efficient and versatile data analytics for deep networks
Résumé
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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Base de données [cs.DB]
Fichier principal
71-72 Efficient and versatile data analytics 3rd BSC International Doctoral Symposium 2016-10.pdf (652.52 Ko)
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