Neural Networks and Numerical Analysis

Bruno Després

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Hardback

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English

De Gruyter
22 August 2022

Numerical analysis; Mathematical modelling; Machine learning; Neural networks & fuzzy systems

Series: 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.

By: Bruno Després
Imprint: De Gruyter
Country of Publication: Germany
Dimensions: Height: 240mm, Width: 170mm,
Weight: 434g
ISBN: 9783110783124
ISBN 10: 3110783126
Series: De Gruyter Series in Applied and Numerical Mathematics
Pages: 174
Publication Date: 22 August 2022
Audience: Professional and scholarly , Undergraduate , Undergraduate
Format: Hardback
Publisher's Status: Active

Bruno Després, Sorbonne University, France.