Compact and Fast Machine Learning Accelerator for IoT Devices
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Beschreibung
This book presents the latest techniques for machine learning based data analytics on IoT 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.
This book presents the latest techniques for machine learning based data analytics on IoT 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.
Offers readers a systematic and comprehensive literature review of fast and compact machine learning algorithms on IoT devices Provides various techniques on neural network model optimization such as bit-width truncation and matrix (tensor) decomposition Focuses on machine learning architecture design on both CMOS technology and RRAM technology to provide energy-efficient hardware solutions Illustrates design and analysis for real-life applications such as indoor positioning, energy management and network security in smart buildings
Autor*in
Hantao Huang
Themen in »Compact and Fast Machine Learning Accelerator for IoT Devices«
Internet-of-things (IoT) Machine Learning Accelerator Shadow Neural Network Deep Neural Network Least-squares-solver Tensor-solver Distributed-solver Networked Neural Network neural network compression hardware architecture optimization algorithm level optimization