The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Roberts, Daniel A., Sho Yaida, and Boris Hanin. 2022. The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks. Cambridge University Press. doi.org/10.1017/9781009023405
DOI · dx.doi.org · ISBN 978-1-316-51933-2
BibTeX
@book{Roberts_2022,
title = {The Principles of Deep Learning Theory: {{An}} Effective Theory Approach to Understanding Neural Networks},
author = {Roberts, Daniel A. and Yaida, Sho and Hanin, Boris},
year = 2022,
month = may,
publisher = {Cambridge University Press},
doi = {10.1017/9781009023405},
url = {http://dx.doi.org/10.1017/9781009023405},
isbn = {978-1-316-51933-2}
}