Machine learning with neural networks: an introduction for scientists and engineers: by Bernhard Mehlig, Cambridge, UK, Cambridge University Press, 2021, 249 pp., £39.99 (hardback), ISBN: 9781108494939. Scope: monograph, textbook. Level: postgraduate, researcher

Autor: Probert, Matt
Předmět:
Zdroj: Contemporary Physics; Dec2021, Vol. 62 Issue 4, p236-237, 2p
Abstrakt: The result is very satisfying for those with the background to enjoy and appreciate, the (what was for me hitherto unexpected) beauty in the mathematics and theoretical background of neural networks. There are many books, and internet resources, that explain how to use a neural network, but not so many dive into the details of how they work, and why. But for someone who wants to understand neural networks at a fundamental level, or to code something from scratch, or to make some advances in the core ideas and develop the field as a result, then this book will give you the theoretical framework for doing just that. [Extracted from the article]
Databáze: Complementary Index