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Facial-Pattern-Recognition

The Kaggle dataset from the Facial Expression Recognition Challenge has been used for this project.

The following 2 models have been implemented:

  1. Neural Network with 2 hidden-layers: Best error rate observed is 0.12 [ann_classifier.py]
  2. Convolutional-Pooling combined with a fully connected neural network: Best error rate observed is 0.01 [cnn_classifier.py]

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Used CNNs to detect facial expressions.

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