Scope of the Series

Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today´s highly integrated world, AI promises to become a robust and powerful mean for obtaining solutions to previously unsolvable problems. This book series is intended for researchers and students alike, as well as all those interested in this fascinating field and its applications, in particular in areas related to the topics on which it is focused.

Contents

**Section 1**

**Section 2**

Perspective in 2020 and beyond

*by Wen Xu, Jing He and Yanfeng Shu*

Deep Learning Enabled Nanophotonics

Deep Meta-Learning Models

*by Evren Dağlarli*

Software Platforms

**Preface XI**

Deep Learning Applications **1**

**Chapter 1 3**

**Chapter 2 23**

**Chapter 3 45**

Future Trends of Deep Learning **63**

**Chapter 4 65**

**Chapter 5 79**

**Chapter 6 97**

Advancements in Deep Learning Theory and Applications:

*by Md Nazmus Saadat and Muhammad Shuaib*

Advances in Convolutional Neural Networks *by Wen Xu, Jing He, Yanfeng Shu and Hui Zheng*

Transfer Learning and Deep Domain Adaptation

*by Lujun Huang, Lei Xu and Andrey E. Miroshnichenko*

Explainable Artificial Intelligence (xAI) Approaches and

Dynamic Decision-Making for Stabilized Deep Learning

*by Soohyun Park, Dohyun Kim and Joongheon Kim*
