面部表情识别挑战：解决面部表情识别挑战的难题

# Facial Expression Recognition Challenge The jupyter notebook available here showcase my approach to tackle the kaggle problem of [Facial Expression Recognition Challenge](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge). Collect dataset from [here](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data). Trained model Weights -> [face_model.h5](https://github.com/piyush2896/Facial-Expression-Recognition-Challenge/blob/master/face_model.h5) Trained model JSON -> [face_model.h5](https://github.com/piyush2896/Facial-Expression-Recognition-Challenge/blob/master/face_model.json) ## Dependencies 1. NumPy 2. Keras 3. Pandas 4. Tensorflow (as backend) 5. Jupyter 6. openCv 2 ## Usage Run the code blocks in the [notebook](https://github.com/piyush2896/Facial-Expression-Recognition-Challenge/blob/master/Facial-Expression-Recognition-Challenge.ipynb) in the order to see the result. Run the code [camera.py](https://github.com/piyush2896/Facial-Expression-Recognition-Challenge/blob/master/camera.py) to see application in action