The principles of deep learning theory : an effective theory approach to understanding neural networks

Bibliographische Detailangaben

Titel
The principles of deep learning theory an effective theory approach to understanding neural networks
verantwortlich
Roberts, Daniel A. (VerfasserIn); Yaida, Sho (VerfasserIn); Hanin, Boris (MitwirkendeR)
veröffentlicht
Cambridge, New York, NY, Port Melbourne, VIC, New Delhi, Singapore: Cambridge University Press, 2022
Erscheinungsjahr
2022
Erscheint auch als
Roberts, Daniel A., 1987 - , The principles of deep learning theory, Cambridge : Cambridge University Press, 2022, 1 online resource (x, 460 pages)
Andere Ausgaben
The principles of deep learning theory: an effective theory approach to understanding neural networks
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Zusammenfassung
"This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning"--
Umfang
x, 460 Seiten; Diagramme
Sprache
Englisch
Schlagworte
Deep learning
BK-Notation
54.72 Künstliche Intelligenz
ISBN
9781316519332
DOI
10.1017/9781009023405