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...

全面介紹

Saved in:
書目詳細資料
主要作者: Heng, Yin Qi
其他作者: Anamitra Makur
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2024
主題:
CNN
在線閱讀:https://hdl.handle.net/10356/176638
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!