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Springer

On-Chip Training Npu - Algorithm, Architecture And Soc Design

On-Chip Training Npu - Algorithm, Architecture And Soc Design

ISBN-13: 9783031342363
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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.


  • | Author: Donghyeon Han, Hoi-Jun Yoo
  • | Publisher: Springer
  • | Publication Date: Jul 28, 2023
  • | Number of Pages: 260 pages
  • | Language: English
  • | Binding: Hardcover
  • | ISBN-10: 3031342364
  • | ISBN-13: 9783031342363
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