iSEC: An Optimized Deep Learning Model for Image Classification on Edge Computing

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...

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Bibliographic Details
Main Authors: Endah Kristiani, Chao-Tung Yang, Chin-Yin Huang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data augmentation
CPU optimization
hyperparameter tuning
deep learning
inference optimization
InceptionV3
Online Access:https://ieeexplore.ieee.org/document/8981999/

Internet

https://ieeexplore.ieee.org/document/8981999/

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