Selective Layer Tuning and Performance Study of Pre-Trained Models Using Genetic Algorithm

Selective Layer Tuning and Performance Study of Pre-Trained Models Using Genetic Algorithm

Utilizing pre-trained models involves fully or partially using pre-trained parameters as initialization. In general, configuring a pre-trained model demands practitioners’ knowledge about problems or an exhaustive trial–error experiment according to a given task. In this paper, we propose tuning tra...

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Bibliographic Details
Main Authors: Jae-Cheol Jeong, Gwang-Hyun Yu, Min-Gyu Song, Dang Thanh Vu, Le Hoang Anh, Young-Ae Jung, Yoon-A Choi, Tai-Won Um, Jin-Young Kim
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
deep learning
selective layer tuning
genetic algorithm
pre-trained model
Online Access:https://www.mdpi.com/2079-9292/11/19/2985

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https://www.mdpi.com/2079-9292/11/19/2985

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