This book presents the latest techniques for machine learning based data analytics on Io T edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.
€128.39
قائمة المحتويات
Computing on Edge Devices in Internet-of-things (Io T).- The Rise of Machine Learning in Io T system.- Least-squares-solver for Shadow Neural Network.- Tensor-solver for Deep Neural Network.- Distributed-solver for Networked Neural Network.- Conclusion.قم بشراء هذا الكتاب الإلكتروني واحصل على كتاب آخر مجانًا!
لغة الإنجليزية ● شكل PDF ● صفحات 149 ● ISBN 9789811333231 ● حجم الملف 9.4 MB ● الناشر Springer Singapore ● مدينة Singapore ● بلد SG ● نشرت 2018 ● للتحميل 24 الشهور ● دقة EUR ● هوية شخصية 6771689 ● حماية النسخ DRM الاجتماعية
المزيد من الكتب الإلكترونية من نفس المؤلف (المؤلفين) / محرر
5٬021 كتب إلكترونية في هذه الفئة
