Noisy facial recognition with convolutional neural network (CNN)

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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Bibliographic Details
Main Author: Heng, Yin Qi
Other Authors: Anamitra Makur
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering
Machine learning
CNN
Facial recognition
Online Access:https://hdl.handle.net/10356/176638

Internet

https://hdl.handle.net/10356/176638

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