Mathematical Aspects of Deep Learning

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.
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Gebonden
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Writer
Title
Mathematical Aspects of Deep Learning
Publisher
Cambridge University Press
Year
2022
Language
English
Pages
492
Weight
600 gr
EAN
9781316516782
Dimensions
177 x 250 x 29 mm
Binding format
Gebonden

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Categories

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