Limited Discriminator GAN using explainable AI model for overfitting problem

Limited Discriminator GAN using explainable AI model for overfitting problem

Data-driven learning is the most representative deep learning method. Generative adversarial networks (GANs) are designed to generate sufficient data to support such learning. The learning process of GAN models typically trains a generator and discriminator in turn. However, overfitting problems occ...

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Bibliographic Details
Main Authors: Jiha Kim, Hyunhee Park
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:ICT Express
Subjects:
GAN
Discriminator
Generator
Overfitting
Explainable AI
Online Access:http://www.sciencedirect.com/science/article/pii/S240595952100179X

Internet

http://www.sciencedirect.com/science/article/pii/S240595952100179X

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