Résumé: 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."

Edition: Cambridge, Massachusetts [etc.]: The MIT press
Langue: Anglais
Collation: 1 vol. (XXII-775 p.) ill. en noir et en coul., couv. ill. en coul. ;24 cm.
ISBN: 9780262035613
Index décimal 004 .Informatique, traitement des données (choix et utilisation du hardware, du matériel informatique ; configurations logicielles et matérielles, fiabilité des ordinateurs, firmware considéré comme hardware ; ouvrages d'ensemble et interdisciplinaires sur les
Thème Informatique

Mots clés:
Analyse multivariée
Apprentissage automatique
Intelligence artificielle
Modèles mathématiques

Note: Bibliogr. p. [711]-766. Index; Sommaire : I. Applied math and machine learning basics 2. Linear algebra 3. Probability and information theory 4. Numerical computation 5. Machine learning basics II. Deep networks: modern practices 6. Deep feedforw