Open access peer-reviewed Edited Volume

Advances and Applications in Deep Learning

Edited by Marco Antonio Aceves-Fernandez

Universidad Autonoma de Queretaro

Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.

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Advances and Applications in Deep LearningEdited by Marco Antonio Aceves-Fernandez

Published: December 9th 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

Books open for chapter submissions

2608 Total Chapter Downloads

5 Crossref Citations

7 Dimensions Citations


Open access peer-reviewed

1. Advancements in Deep Learning Theory and Applications: Perspective in 2020 and beyond

By Md Nazmus Saadat and Muhammad Shuaib


Open access peer-reviewed

2. Advances in Convolutional Neural Networks

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


Open access peer-reviewed

3. Transfer Learning and Deep Domain Adaptation

By Wen Xu, Jing He and Yanfeng Shu


Open access peer-reviewed

4. Deep Learning Enabled Nanophotonics

By Lujun Huang, Lei Xu and Andrey E. Miroshnichenko


Open access peer-reviewed

5. Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models

By Evren Dağlarli


Open access peer-reviewed

6. Dynamic Decision-Making for Stabilized Deep Learning Software Platforms

By Soohyun Park, Dohyun Kim and Joongheon Kim


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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