ADQE: Obtain Better Deep Learning Models by Evaluating the Augmented Data Quality Using Information Entropy

ADQE: Obtain Better Deep Learning Models by Evaluating the Augmented Data Quality Using Information Entropy

Data augmentation, as a common technique in deep learning training, is primarily used to mitigate overfitting problems, especially with small-scale datasets. However, it is difficult for us to evaluate whether the augmented dataset truly benefits the performance of the model. If the training model i...

Full description

Bibliographic Details
Main Authors: Xiaohui Cui, Yu Li, Zheng Xie, Hanzhang Liu, Shijie Yang, Chao Mou
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Electronics
Subjects:
data augmentation
deep learning
data quality
big data
data mining
Online Access:https://www.mdpi.com/2079-9292/12/19/4077

Internet

https://www.mdpi.com/2079-9292/12/19/4077

Similar Items