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Python script using Keras + TensorFlow to train a custom machine learning model to recognize faces using a dataset with human faces and labeled with emotions.

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MacBook-Pro:EmotionRecTraining-master adpk$ python emotionRecTrain.py /opt/local/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type,...

Hi. I'm interested in FER. In your experiment, do you split the dataset into training/validation/testing set? How to avoid overfitting? Thanks!