| Description |
1 online resource (68 pages) |
| Contents |
Intro -- Preface -- The Research on the Development of Electronic Information Engineering Technology in China Book Series -- The Development of Deep Learning Technologies in Research on the Development of Electronic Information Engineering Technology in China Book Series -- List of Series Contributors -- Contents -- About the Authors -- Chapter 1: Deep Learning: History and State-of-the-Arts -- 1.1 An Overview of Deep Learning -- 1.1.1 The History of Deep Learning -- 1.1.2 Academic Research -- 1.1.3 Applied Technologies -- 1.1.3.1 Speech Recognition -- 1.1.3.2 Image Recognition |
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1.1.3.3 Natural Language Processing -- 1.1.3.4 Data Intelligence -- 1.2 Deep Learning in Industries -- 1.2.1 The Increasing Global Market -- 1.2.2 Industrial Applications -- Chapter 2: Deep Learning Development Status in China -- 2.1 An Overview -- 2.1.1 Fundamental Theory and Lower Level Technologies -- 2.1.2 Applied Technologies -- 2.1.3 Industrial Applications -- 2.2 The Kernel Technologies -- 2.2.1 AI Chips -- 2.2.1.1 Current Development of AI Chips -- 2.2.1.2 Deep Learning Compatible AI Chip Technology -- 2.2.1.3 Diversified Applications of AI Chips -- 2.2.2 Deep Learning Framework |
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2.2.2.1 Current Development of Deep Learning Frameworks -- 2.2.2.2 Components of Deep Learning Frameworks -- 2.2.2.3 Major Research Interests of Deep Learning Frameworks -- 2.2.3 Automated Deep Learning -- 2.2.3.1 Current Status of Automated Deep Learning -- 2.2.3.2 Key Technologies in Automated Deep Learning -- 2.2.3.3 Applications of Automated Deep Learning -- 2.2.4 Deep Learning Models -- 2.2.4.1 Vision Models -- 2.2.4.2 Speech Models -- 2.2.4.3 Natural Language Processing Models -- 2.3 Industrial Applications -- 2.3.1 Autonomous Driving -- 2.3.2 Smart Urban Management -- 2.3.3 Finance |
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2.3.4 Healthcare -- 2.3.5 Education -- 2.3.6 Retail -- 2.3.7 Manufacturing -- 2.3.8 Agriculture -- 2.4 AI Education in China -- Chapter 3: Future and Discussions -- 3.1 Future of AI Theories -- 3.1.1 Theoretical Framework of Deep Learning -- 3.1.2 Deep Reinforcement Learning -- 3.1.3 Generative Adversarial Network (GAN) -- 3.1.4 Automated Machine Learning -- 3.1.5 Meta-Learning -- 3.1.6 Digital Twin -- 3.2 Future of Applied Technologies -- 3.3 Future of Industrial Applications -- 3.3.1 Industry Internet -- 3.3.2 Smart Home -- 3.3.3 Autonomous Driving -- 3.3.4 Financial Industry |
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3.4 Reflections on Future Development of Deep Learning in China -- References |
| Summary |
This book is a part of the Blue Book series "Research on the Development of Electronic Information Engineering Technology in China," which explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning methods in its ability to learn multiple levels of representation and abstraction by using several layers of nonlinear modules for feature extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the full materialization of AI. Focusing on the development of deep learning technologies, this book also discusses global trends, the status of deep learning development in China and the future of deep learning |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Machine learning.
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Artificial intelligence.
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Artificial Intelligence
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Machine Learning
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artificial intelligence.
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Information technology: general issues.
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Information technology industries.
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Economics.
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Artificial intelligence.
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Computers -- General.
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Business & Economics -- Industries -- Computer Industry.
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Business & Economics -- Economics -- General.
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Computers -- Intelligence (AI) & Semantics.
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Artificial intelligence
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Machine learning
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| Form |
Electronic book
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| Author |
Zhongguo gong cheng yuan. Center for Electronics and Information Studies
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| ISBN |
9789811545849 |
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9811545847 |
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