Deep learning / Ian, Goodfellow / Yoshua, Bengio [ Livre]

Auteur principal: Goodfellow, IanCo-auteur: Bengio, YoshuaLangue: Anglais ; de l'oeuvre originale, Anglais.Publication : Cambridge, Massachusetts [etc.] : the MIT press, 2016Description : 1 vol. (XXII-775 p.) ; 24 cmISBN: 9780262035613.Collection: Adaptive computation and machine learningClassification: I Intelligence artificielle, Machine Learning et Data ScienceRésumé: La 4e de couverture indique : "Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.".Sujet - Nom commun: Apprentissage automatique | Modèles mathématiques | Intelligence artificielle
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I GOO (Browse shelf) Checked out I Intelligence artificielle, Machine Learning et Data Science 27/11/2019 039597

La 4e de couverture indique : "Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning."

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