Neural Networks and Numerical Analysis / / Bruno Després.
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 me...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
---|---|
VerfasserIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter Series in Applied and Numerical Mathematics ,
6 |
Online Access: | |
Physical Description: | 1 online resource (XVI, 158 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Frontmatter
- Introduction
- Acknowledgement
- Contents
- 1 Objective functions, neural networks, and linear algebra
- 2 Approximation properties
- 3 A functional equation
- 4 Datasets
- 5 Stochastic gradient methods
- 6 Examples and research in the field
- Bibliography
- Index