Open access peer-reviewed Edited Volume

Advances and Applications in Deep Learning

Book metrics overview

9,875 Chapter Downloads

View Full Metrics

Academic Editor

Marco Antonio Aceves-Fernández
Marco Antonio Aceves-Fernández ORCID icon for 0000-0002-5455-0329

Autonomous University of Queretaro,
Mexico

Series Editor

Andries Engelbrecht
Andries Engelbrecht ORCID icon for 0000-0002-0242-3539

Stellenbosch University,
South Africa

Published 09 December 2020

Doi 10.5772/intechopen.87786

ISBN 978-1-83962-879-5

Print ISBN 978-1-83962-878-8

eBook (PDF) ISBN 978-1-83962-880-1

Copyright year 2020

Number of pages 122

Part of the book series Artificial Intelligence

Issn 2633-1403

Read more

Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
Show more

Table of Contents

Open access  chapters

1,671
25
2. Advances in Convolutional Neural Networks

By Wen Xu, Jing He, Yanfeng Shu and Hui Zheng

1,382
3
3. Transfer Learning and Deep Domain Adaptation

By Wen Xu, Jing He and Yanfeng Shu

1,504
29
4. Deep Learning Enabled Nanophotonics

By Lujun Huang, Lei Xu and Andrey E. Miroshnichenko

1,811
9
1,341

IMPACT OF THIS BOOK AND ITS CHAPTERS

9,875 Total Chapter Downloads

99 Crossref Citations

145 Dimensions Citations

12 Altmetric Score

Order a print copy of this book

Hardcover | Printed Full Colour

€135 (ex. VAT)*

Hardcover | Printed Full Colour

IntechOpen Author/Editor?
To get your discount, log in

FREE SHIPPING WORLDWIDE

Order & Delivery info

* Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Instructor? Request an Exam Copy

Please note that our prices are now displayed in euros (EUR) instead of British pounds (GBP).