Deep learning for anomaly detection in computational imaging
One of the applications of deep learning is anomaly detection. In this thesis, supervised and semi-supervised deep learning anomaly detection are compared. For supervised method, three methods are used: multilayer perceptron, convolutional neural network and transfer learning. Multilayer perceptron...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/154666 |