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View Code? Open in Web Editor NEWConvolutional Neural Network to classify facial expression of a persons image from categorial values like Neutral, Happy, Sad & Angry.
Convolutional Neural Network to classify facial expression of a persons image from categorial values like Neutral, Happy, Sad & Angry.
This is the implementation of Convolutional Neural Network to identify facial expression of a person in the image. This model is trained by 48*48 resoluation image which identify 4 categorical values of expression like Neutral, Happy, Sad and Angry. So using this model we can identify the facial expression of a person who potrait in the image. But the input image should have the resolution of 48*48. Dataset: https://www.kaggle.com/c/facial-keypoints-detector
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