Compact and Fast Machine Learning Accelerator for IoT Devices

• Κύριοι συγγραφείς: Huang, Hantao (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Yu, Hao (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Computer Architecture and Design Methodologies,
• Θέματα: Computational intelligence.; Microprocessors.; Mathematical optimization.; Computational Intelligence.; Processor Architectures.; Optimization.

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. Coverag...

Πίνακας περιεχομένων:

• Computing on Edge Devices in Internet-of-things (IoT)
• The Rise of Machine Learning in IoT system
• Least-squares-solver for Shadow Neural Network
• Tensor-solver for Deep Neural Network
• Distributed-solver for Networked Neural Network
• Conclusion.