An examination of synthetic images produced with DCGAN according to the size of data and epoch
In recent years, the popular network of adversarial networks has increased in studies for computer vision. The lack of data used in the studies and the lack of good training for the resulting model draw attention to techniques such as data enhancement and synthetic data generation. In this article,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Firat University
2023-02-01
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| Series: | Firat University Journal of Experimental and Computational Engineering |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/2950765 |