ISBN: 9781316516782 - mathematical aspects of deep learning (8 Ergebnisse)

hardcover. Zustand: Very Good. In stock ready to dispatch from the UK.

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 485 pages. 10.00x7.00x1.00 inches. In Stock.

Zustand: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research.…

Zustand: New. Inhaltsverzeichnis1. The modern mathematics of deep learning Julius Berner, Philipp Grohs, Gitta Kutyniok and Philipp Petersen 2. Generalization in deep learning Kenji Kawaguchi, Leslie Pack Kaelbling, and Yoshua Bengio 3. Expressivity.

Hardcover. Zustand: Brand New. 485 pages. 10.00x7.00x1.00 inches. In Stock.