Name: Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture (en Inglés)
Price: 511039.00 COP
Availability: InStock
Author: Xichuan Zhou; Haijun Liu; Cong Shi; Ji Liu
ISBN: 9780323857833

portada Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture (en Inglés)

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture (en Inglés)

Formato

Libro Físico

Editorial

Elsevier

Autor

Xichuan Zhou; Haijun Liu; Cong Shi; Ji Liu

Idioma

Inglés

N° páginas

198

Encuadernación

Tapa Blanda

ISBN13

9780323857833

N° edición

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture (en Inglés)

Xichuan Zhou; Haijun Liu; Cong Shi; Ji Liu (Autor) · Elsevier · Tapa Blanda

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Reseña del libro "Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture (en Inglés)"

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.