Noisy facial recognition with convolutional neural network (CNN)
The aim of this research is to evaluate how Gaussian noise affects the accuracy of two Convolutional Neural Network (CNN) architectures—LeNet and AlexNet—in facial recognition applications. By utilizing the Faces95 dataset, the networks were subjected to varying levels of Gaussian noise to determ...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/176638 |
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Institution: | Nanyang Technological University |
Language: | English |
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