https://github.com/kush1912/facial-emotion-recognition

https://github.com/kush1912/facial-emotion-recognition

batch-normalization cnn-classification cnn-keras deep-neural-networks deeplearning dropout facial-emotion-recognition image image-classification image-recognition neural-network opencv

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/kush1912/facial-emotion-recognition
• Owner: kush1912
• License: mit
• Created: 2019-05-07T17:59:28.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-10-03T14:02:50.000Z (over 6 years ago)
• Last Synced: 2025-12-25T23:26:32.899Z (6 months ago)
• Topics: batch-normalization, cnn-classification, cnn-keras, deep-neural-networks, deeplearning, dropout, facial-emotion-recognition, image, image-classification, image-recognition, neural-network, opencv
• Language: Jupyter Notebook
• Size: 207 KB
• Stars: 0
• Watchers: 0
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# **Facial-Emotion-Recognition**

+ Model trained to classify the images into six different emotions using CNN. It starts with 32 feature detectors in first CNN layer. We trained our model to identify the features so that it can classify emotions into six different classes Angry, Happy, Neutral, Fear, Sad, surprised.

+ Architecture: 4 convolution layers, activation - relu, optimizer – adam, batch normalisation, followed by 2 fully connected layers. 

+ Tools/Technologies: Python, OpenCV, Deep learning, Neural Networks, Keras, Tensorflow.