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portada On-Chip Training Npu - Algorithm, Architecture and Soc Design
Type
Physical Book
Publisher
Language
English
Pages
237
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.6 cm
Weight
0.54 kg.
ISBN13
9783031342363

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

Hoi-Jun Yoo (Author) · Donghyeon Han (Author) · Springer · Hardcover

On-Chip Training Npu - Algorithm, Architecture and Soc Design - Han, Donghyeon ; Yoo, Hoi-Jun

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Synopsis "On-Chip Training Npu - Algorithm, Architecture and Soc Design"

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.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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