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. Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $44.70 (Expires Aug 02, 2024) 60 Day Rental: $59.60 (Expires Sep 01, 2024) 90 Day Rental: $74.50 (Expires Oct 01, 2024) 120 Day Rental: $89.40 (Expires Oct 31, 2024) 180 Day Rental: $96.85 (Expires Dec 30, 2024) Buy eBook Lifetime Access: $149.00 Title: On-Chip Training Npu-Algorithm, Architecture and Soc Design by Donghyeon Han; Hoi-Jun Yoo Publisher: Springer Nature Print ISBN: 9783031342363, 3031342364 eText ISBN: 9783031342370 Edition: 2023 2023 edition Format: EPUB eBook	$44.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ