iSEC: An Optimized Deep Learning Model for Image Classification on Edge Computing
Optimization strategies in deep learning models require different techniques for different use cases. Besides, various phases of the model deployment life-cycle specify possible and particular optimization strategies. In this paper, an optimized deep learning model on the edge computing environment...
Main Authors: | Endah Kristiani, Chao-Tung Yang, Chin-Yin Huang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8981999/ |
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