Mathematical Aspects of Deep Learning

The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics. Written by leading experts in the field, this book acts as a mathematical introduction to deep learning for researchers and graduate students trying to get into the field.

• | : Philipp Grohs (Universitat Wien, Austria), Gitta Kutyniok (Ludwig-Maximilians-Universitat Munchen) (Edited by)
• | Publisher: Cambridge University Press
• | Publication Date: Dec 22, 2022
• | Country of Publication: United Kingdom
• | Number of Pages: 492 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1316516784
• | ISBN-13: 9781316516782