The Development of Deep Learning Technologies: Research on the Development of Electronic Information Engineering Technology in China

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.

About the Author

The Chinese Academy of Engineering (CAE), China's most prestigious engineering science and technology advisory institution, is the first pilot construction unit and the top national think-tank. The CAE is dedicated to the study of national economic and social development and engineering major strategic issues in the development of science and technology.