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Compact and Fast Machine Learning Accelerator for IoT Devices

Af: Hantao Huang, Hao Yu Engelsk Hardback

Compact and Fast Machine Learning Accelerator for IoT Devices

Af: Hantao Huang, Hao Yu Engelsk Hardback
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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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 149
ISBN-13: 9789811333224
Indbinding: Hardback
Udgave:
ISBN-10: 981133322X
Kategori: Optimalisering
Udg. Dato: 18 dec 2018
Længde: 16mm
Bredde: 241mm
Højde: 161mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 18 dec 2018
Forfatter(e): Hantao Huang, Hao Yu
Forfatter(e) Hantao Huang, Hao Yu


Kategori Optimalisering


ISBN-13 9789811333224


Sprog Engelsk


Indbinding Hardback


Sider 149


Udgave


Længde 16mm


Bredde 241mm


Højde 161mm


Udg. Dato 18 dec 2018


Oplagsdato 18 dec 2018


Forlag Springer Verlag, Singapore

Kategori sammenhænge