Open access peer-reviewed Edited Volume

Advances and Applications in Deep Learning

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Academic Editor

Marco Antonio Aceves-Fernández
Marco Antonio Aceves-Fernández

Autonomous University of Queretaro,
Mexico

Series Editor

Andries Engelbrecht
Andries Engelbrecht

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

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Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
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Table of Contents

Open access  chapters

1,509
21
2. Advances in Convolutional Neural Networks

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

1,244
2
3. Transfer Learning and Deep Domain Adaptation

By Wen Xu, Jing He and Yanfeng Shu

1,326
22
4. Deep Learning Enabled Nanophotonics

By Lujun Huang, Lei Xu and Andrey E. Miroshnichenko

1,704
9
1,123

IMPACT OF THIS BOOK AND ITS CHAPTERS

8,805 Total Chapter Downloads

83 Crossref Citations

125 Dimensions Citations

9 Altmetric Score

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