Open access peer-reviewed Edited Volume

Deep Learning and Reinforcement Learning

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Academic Editor

Jucheng Yang
Jucheng Yang

Tianjin University of Technology, China

Co-editors

Yarui Chen
Yarui Chen

Tianjin University of Science and Technology,
China

Tingting Zhao
Tingting Zhao

Tianjin University of Science and Technology,
China

Yuan Wang
Yuan Wang

Tianjin University of Science and Technology,
China

Xuran Pan
Xuran Pan

Tianjin University of Science and Technology,
China

Series Editor

Andries Engelbrecht
Andries Engelbrecht

Stellenbosch University,
South Africa

Published15 November 2023

Doi10.5772/intechopen.103984

ISBN978-1-80356-951-2

Print ISBN978-1-80356-950-5

eBook (PDF) ISBN978-1-80356-952-9

Copyright year2023

Number of pages130

Part of the book seriesArtificial Intelligence

Issn2633-1403

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  • Dimension
  • OpenAIRE
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Table of Contents

Open access  chapters

2. Graph Neural Networks and Reinforcement Learning: A Survey

By Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian and Jocelyn Chanussot

419
139
4. MultiRes Attention Deep Learning Approach for Abdominal Fat Compartment Segmentation and Quantification

By Bhanu K.N. Prakash, Arvind Channarayapatna Srinivasa, Ling Yun Yeow, Wen Xiang Chen, Audrey Jing Ping Yeo, Wee Shiong Lim and Cher Heng Tan

79
1
5. Deep Learning for Natural Language Processing

By Yuan Wang, Zekun Li, Zhenyu Deng, Huiling Song and Jucheng Yang

152
6. Deep Learning in Medical Imaging

By Narjes Benameur and Ramzi Mahmoudi

156

IMPACT OF THIS BOOK AND ITS CHAPTERS

1,009 Total Chapter Downloads

7 Crossref Citations

8 Dimensions Citations

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