Facial-classification-using-CNN-and-MATLAB-according-to-gend
1. genderNet.m is the main script. It carries out loading; splitting into training and verification datasets; pre-processing; training; verification; and error analysis.
2. genderNetFun.m is a function to define the layers and parameters of the CNN.
3. Datasets is the dataset folders (I'm not sure whether it can be seen here but I'll upload it to guthub
4. myfun.m is the @readFun for the imagedatastore.
Dataset originally derived from https://www.mathworks.com/matlabcentral/fileexchange/72577-age-and-gender-estimation-from-face
인용 양식
mugambi ndwiga (2024). Facial-classification-using-CNN-and-MATLAB-according-to-gend (https://github.com/zombimann/Facial-classification-using-CNN-and-MATLAB-according-to-gender), GitHub. 검색됨 .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
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