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  1. www.nature.com › articles › nature14539Deep learning | Nature

    27 de may. de 2015 · Deep learning. Yann LeCun, Yoshua Bengio & Geoffrey Hinton. Nature 521 , 436–444 ( 2015) Cite this article. 956k Accesses. 37k Citations. 1367 Altmetric. Metrics. Deep...

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  2. 28 de may. de 2015 · Deep Learning. May 2015. Nature 521 (7553):436-44. DOI: 10.1038/nature14539. Source. PubMed. Authors: Yann LeCun. Y. Bengio. Université de Montréal. Geoffrey Hinton. Citations...

  3. 11 de oct. de 2017 · Recomendé un clásico, cuando quizás tendría que haber recomendado un libro de fácil acceso, como Ian Goodfellow, Yoshua Bengio, Aaron Courville, «Deep Learning,» MIT Press (2016), que está disponible gratis en versión web http://www.deeplearningbook.org.

  4. www.deeplearningbook.orgDeep Learning

    The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. The deep learning textbook can now be ordered on Amazon .

  5. 28 de may. de 2015 · Deep learning. Nature. 2015 May 28;521 (7553):436-44. doi: 10.1038/nature14539. Authors. Yann LeCun 1 , Yoshua Bengio 2 , Geoffrey Hinton 3. Affiliations. 1 1] Facebook AI Research, 770 Broadway, New York, New York 10003 USA. [2] . New York University, 715 Broadway, New York, New York 10003, USA.

  6. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech rec-ognition, visual object recognition, object detection

  7. www.semanticscholar.org › paper › Deep-Learning-LeCun-BengioDeep Learning | Semantic Scholar

    Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton. Published 2015. Computer Science. TLDR.