I read the section code in age_estimation and tried to revise the age and gender estimation model this way. When I use ResNet50 and InceptionResNetV2, there is no problem. But when I use VGG16, the loss is always kept at a certain level. When predicting, age and gender always return a result. I wonder if you have encountered this problem and where the error is? Thank you for your project.
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I read the section code in age_estimation and tried to revise the age and gender estimation model this way. When I use ResNet50 and InceptionResNetV2, there is no problem. But when I use VGG16, the loss is always kept at a certain level. When predicting, age and gender always return a result. I wonder if you have encountered this problem and where the error is? Thank you for your project. `
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