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Leveraging Uncertainties in Softmax Decision-Making Models for Low-Power IoT Devices

Chiwoo Cho1, Wooyeol Choi2, Taewoon Kim3

  • 1Hallym Institute for Data Science and Artificial Intelligence, Hallym University, Chuncheon 24252, Korea.

Sensors (Basel, Switzerland)
|August 23, 2020
PubMed
Summary

This study introduces a lightweight framework to improve deep learning (DL) image classification for Internet of Things (IoT) devices. The method enhances decision-making accuracy without retraining models, significantly reducing errors in IoT applications.

Keywords:
Internet of Thingsclassificationdecision-makingdeep learningsensor datasoftmax

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