LiWGAN: A light method to improve the performance of generative adversarial network
Generative adversarial networks (GANs) gained tremendous growth due to the potency and efficiency in producing realistic samples. This study proposes a light-weight GAN (LiWGAN) to learn non-image synthesis with minimum computational time for less power computing. Hence, the LiWGAN method enhanced a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/104422/1/NorlizaMohdNoor2022_LiWGANALightMethodtoImprovethePerformance.pdf http://eprints.utm.my/104422/ http://dx.doi.org/10.1109/ACCESS.2022.3203065 |
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