On-Chip Training NPU - Algorithm, Architecture and SoC Design

On-Chip Training NPU - Algorithm, Architecture and SoC Design

EnglishHardbackPrint on demand
Han, Donghyeon
Springer, Berlin
EAN: 9783031342363
Print on demand
Delivery on Friday, 28. of August 2026
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Detailed information

Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN training, as well as on-device training semiconductors and SoC design examples to facilitate understanding.

EAN 9783031342363
ISBN 3031342364
Binding Hardback
Publisher Springer, Berlin
Publication date July 28, 2023
Pages 237
Language English
Dimensions 235 x 155
Country Switzerland
Authors Han, Donghyeon; Yoo Hoi-Jun
Illustrations XXIII, 237 p. 234 illus., 213 illus. in color.
Edition 2023 ed.
Manufacturer information
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