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Deep Learning for the Internet of Things.

How can the advantages of deep learning be brought to the emerging world of embedded IoT devices? The authors discuss several core challenges in embedded and mobile deep learning, as well as recent solutions demonstrating the feasibility of building IoT applications that are powered by effective, ef...

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Published in:Computer (00189162) Vol. 51; no. 5; pp. 32 - 42
Main Authors: Yao, Shuochao, Zhao, Yiran, Zhang, Aston, Hu, Shaohan, Shao, Huajie, Zhang, Chao, Su, Lu, Abdelzaher, Tarek
Format: Article
Published: IEEE May2018
Subjects:
Deep learning
Internet of things
Computer vision
Problem solving
Application software
Online Access:View this record in EBSCOhost
Summary:How can the advantages of deep learning be brought to the emerging world of embedded IoT devices? The authors discuss several core challenges in embedded and mobile deep learning, as well as recent solutions demonstrating the feasibility of building IoT applications that are powered by effective, efficient, and reliable deep learning models.