Cantitate/Preț
Produs

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

Autor China Info & Comm Tech Grp Corp
en Limba Engleză Paperback – 15 iul 2020
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.

Citește tot Restrânge

Preț: 32058 lei

Preț vechi: 40072 lei
-20% Nou

Puncte Express: 481

Preț estimativ în valută:
6135 6481$ 5129£

Carte tipărită la comandă

Livrare economică 28 decembrie 24 - 03 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811545832
ISBN-10: 9811545839
Pagini: 70
Ilustrații: XIV, 58 p. 15 illus., 13 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.14 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Chapter 1: Deep Learning: History and State-of-the-arts.- Chapter 2: Deep Learning Development Status in China.- Chapter 3: Future and Discussions.

Notă biografică

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.
In order to improve electronic information engineering technology development strategy research, innovate systems and mechanisms, and to integrate the benefits, in November 2015 the CAE, the Central Network Information Office, the Ministry of Industry and Information Technology (MIIT) and China Electronic Technology Corporation (CETC) jointly established the Center for Electronics and Information Studies.

The Center for Electronics and Information Studies focuses on high-level, open development. It studies hot topics regarding the development of electronic information engineering and conducts applied research and policy consulting work. Combining the know-how and resources of national ministries, experts and scholars, the Center for Electronics and Information Studies strives to provide a first-class strategic think tank in the field of information and electronic engineering and technology, offering timely, future-oriented, scientific advice for national decision-makers.

Textul de pe ultima copertă

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.

Caracteristici

Broadens readers understanding of the global trends in deep learning technologies, including in China Summarizes the latest studies on the global development and the characteristics of deep learning, the status quo, and future prospects from the perspectives of academia, technology and industry Offers insights into cutting-edge innovations in deep learning, machine learning, reinforcement learning, transfer learning, and AI Chips technologies