Efficient Processing of Deep Neural Networks

Vivienne Sze

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Language: English

Published by Springer, Springer Jun 2020, 2020

3031006380 / 9783031006388

Series: Book 5 of 7 - Synthesis Lectures on Computer Architecture

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This item is printed on demand - Print on Demand Titel. Neuware -This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics¿such as energy-efficiency, throughput, and latency¿without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems.The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.…

Seller Inventory # 9783031006388

Title
Efficient Processing of Deep Neural Networks
Author
Vivienne Sze
Publisher
Springer, Springer Jun 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031006380
ISBN 13
9783031006388
Item weight
643 grams
Dimensions
235x191x19 mm
Series
Book 5 of 7: Synthesis Lectures on Computer Architecture

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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