Després Neural Networks and Numerical Analysis

1. Auflage 2022
ISBN: 978-3-11-078318-6
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 6, 174 Seiten

Reihe: De Gruyter Series in Applied and Numerical Mathematics

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.

Zielgruppe

Institutional Libraries, researchers and graduates students worki

Autoren/Hrsg.

Després, Bruno

Über Autor(innen)

Bruno Després, Sorbonne University, France.