Deep Learning on Edge Computing Devices

Design Challenges of Algorithm and Architecture

Xichuan Zhou, Haijun Liu, Cong Shi, Ji Liu
Elsevier S&T
198 pages
ISBN: 9780323857833
February 2022

This book focuses on hardware architecture and embedded deep learning, including neural networks. It 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. 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.