An Evaluation of VGG16 Binary Classifier Deep Neural Network for Noise and Blur Corrupted Images
Deep learning networks has become an important tool for image classification applications. Distortions on images may cause the performance of a classifier to decrease significantly. In the present paper, a comparative investigation for binary classification performance of VGG16 network under corrupt...
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| Format: | Article |
| Language: | English |
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Sakarya University
2020-12-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/1067275 |