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Beschreibung
This book explores a new way to understand and employ neural networks through the lens of game theory. This is an illuminating read for computer science, engineering, and mathematics researchers interested in the mathematical underpinnings of deep learning models.
This book explores a new way to understand and employ neural networks through the lens of game theory. This is an illuminating read for computer science, engineering, and mathematics researchers interested in the mathematical underpinnings of deep learning models.
Über den Autor

Hamidou Tembine is a professor of machine intelligence at the University of Quebec in Trois-Rivieres, Canada, and the co-founder of Timadie, which is a platform of platforms that brings together companies, laboratories, and professional associations.

Inhaltsverzeichnis

1. Deep Learning Meets Game Theory 2. Mathematics of Transformers 3. Extremely Large Transformers 4. Mean-Field-Type Transformers 5. Mean-Field-Type Learning 6. Strategic Deep Learning

Details
Erscheinungsjahr: 2026
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781041124078
ISBN-10: 1041124074
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Tembine, Hamidou
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 254 x 178 x 17 mm
Von/Mit: Hamidou Tembine
Erscheinungsdatum: 14.04.2026
Gewicht: 0,587 kg
Artikel-ID: 134602776