E-Book, Englisch, Band 6, 174 Seiten
Reihe: De Gruyter Series in Applied and Numerical Mathematics
Després Neural Networks and Numerical Analysis
1. Auflage 2022
ISBN: 978-3-11-078326-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, Band 6, 174 Seiten
Reihe: De Gruyter Series in Applied and Numerical Mathematics
ISBN: 978-3-11-078326-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
This book uses numerical analysis as the main tool to investigate methods in machine learning and neural networks. The efficiency of neural network representations for general functions and for polynomial functions is studied in detail, together with an original description of the Latin hypercube method and of the ADAM algorithm for training. Furthermore, unique features include the use of Tensorflow for implementation session, and the description of on going research about the construction of new optimized numerical schemes.
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