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Predict the apparent age of a person possibly in real time. The model used is pre-trained on VGG16 architecture and then trained using a convolutional neural network on the ChaLearn LAP dataset which consists of 8000 image samples. Test Accuracy achieved – 84%.

Jupyter Notebook 7.69% TeX 20.53% HTML 71.44% Python 0.34%
cnn deep-learning resnet vgg16

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