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Mathematical Aspects of Deep Learning

By Philipp Grohs

Mathematical Aspects of Deep Learning

By Philipp Grohs

0 - Default Title
Description
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.
Product details
Edition:
1
Number of Pages:
492
Release Date:
2022-12-22
Publication Date:
2022-12-22
Publisher:
Cambridge University Press
Languages:
Original: English
ISBN10:
1316516784
ISBN13:
9781316516782
GPSR Manufacturer Reference:
[email protected]
Weight:
1020 g
Height:
175 cm
Width:
250 cm
Thickness:
31 cm
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