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

Universidad Autonoma de Queretaro, Mexico, Mexico

Series Editor

Andries Engelbrecht
Andries Engelbrecht

Stellenbosch University, South Africa

PublishedDecember 9th, 2020

Doi10.5772/intechopen.87786

ISBN978-1-83962-879-5

Print ISBN978-1-83962-878-8

eBook (PDF) ISBN978-1-83962-880-1

Copyright year2020

Number of pages122

Part of the book seriesArtificial Intelligence

Issn2633-1403

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Edited Volume and chapters are indexed in

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

Open access  chapters

933
1
2. Advances in Convolutional Neural Networks

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

839
3
3. Transfer Learning and Deep Domain Adaptation

By Wen Xu, Jing He and Yanfeng Shu

874
9
4. Deep Learning Enabled Nanophotonics

By Lujun Huang, Lei Xu and Andrey E. Miroshnichenko

1,232
7
629

IMPACT OF THIS BOOK AND ITS CHAPTERS

5,816 Total Chapter Downloads

33 Crossref Citations

8 Web of Science Citations

49 Dimensions Citations

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