Open access peer-reviewed Edited Volume

Advances and Applications in Deep Learning

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8,011 Chapter Downloads

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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

Published09 December 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

1,353
6
2. Advances in Convolutional Neural Networks

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

1,144
2
3. Transfer Learning and Deep Domain Adaptation

By Wen Xu, Jing He and Yanfeng Shu

1,189
16
4. Deep Learning Enabled Nanophotonics

By Lujun Huang, Lei Xu and Andrey E. Miroshnichenko

1,574
7
1,012

IMPACT OF THIS BOOK AND ITS CHAPTERS

8,011 Total Chapter Downloads

55 Crossref Citations

8 Web of Science Citations

90 Dimensions Citations

9 Altmetric Score

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