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
引用
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. 取得済み .
MATLAB リリースの互換性
プラットフォームの互換性
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
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謝辞
ヒントを得たファイル: Age and Gender Estimation from Face
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