Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications

Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications
Author :
Publisher : Cambridge Scholars Publishing
Total Pages : 427
Release :
ISBN-10 : 9781036409616
ISBN-13 : 1036409619
Rating : 4/5 (16 Downloads)

Book Synopsis Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications by : Pethuru Raj

Download or read book Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications written by Pethuru Raj and published by Cambridge Scholars Publishing. This book was released on 2024-08-22 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The edge AI implementation technologies are fast maturing and stabilizing. Edge AI digitally transforms retail, manufacturing, healthcare, financial services, transportation, telecommunication, and energy. The transformative potential of Edge AI, a pivotal force in driving the evolution from Industry 4.0’s smart manufacturing and automation to Industry 5.0’s human-centric, sustainable innovation. The exploration of the cutting-edge technologies, tools, and applications that enable real-time data processing and intelligent decision-making at the network’s edge, addressing the increasing demand for efficiency, resilience, and personalization in industrial systems. Our book aims to provide readers with a comprehensive understanding of how Edge AI integrates with existing infrastructures, enhances operational capabilities, and fosters a symbiotic relationship between human expertise and machine intelligence. Through detailed case studies, technical insights, and practical guidelines, this book serves as an essential resource for professionals, researchers, and enthusiasts poised to harness the full potential of Edge AI in the rapidly advancing industrial landscape.


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