Artificial Intelligence

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture

Name: Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Brand: Elsevier
SKU: 9780323857833
Price: 21333.00 INR
Availability: InStock
ISBN: 9780323857833

Contributor(s): Zhou, Xichuan Author , Liu, Haijun Author , Shi, Cong Author Format: Paperback

Paperback · ISBN 9780323857833

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Key Specifications

ISBN	9780323857833
Publisher	Elsevier
Publication date	February 2022
Language	English
MRP	£135.00 GBP
Page count	200
Item weight	61 g

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are introduced in each section, and a comprehensive example, smart surveillance cameras, is presented at the end of the book, integrating innovation in both algorithm and hardware architecture. Structured into three parts, the book covers core concepts, theories and algorithms and architecture optimization.

This book provides a solution for researchers looking to maximize the performance of deep learning models on Edge-computing devices through algorithm-hardware co-design.

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture

Key Specifications

Zhou, Xichuan Author

Liu, Haijun Author

Shi, Cong Author

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