| Mathematical Aspects of Deep Learning (Cambridge University Press) |
| Friday, 10 February 2023 | |||
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. In this book, Philipp Grohs and Gitta Kutyniok present the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. 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. Author: Philipp Grohs and Gitta Kutyniok
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