Deep learning API with facial expression recognition using KERAS
Branch: master
Clone or download
Pull request Compare This branch is 5 commits ahead of mihaelacr:master.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
code
.travis.yml
COGS260___Final_Project.pdf
LICENSE.txt
README.md
TODO.txt

README.md

In this project, we applied Convolution Neural Networks to predict emotions from the image of human faces. We used Kaggle Facial Emotion Recognition 2013 [11] dataset for training. The human accuracy on this dataset is 65%. We experimented with different models and hyper parameters to finally come up with a model that meets the human accuracy. Our best performing model also performs in the range of the top 4 models of the challenge. Further, we applied different visualisation techniques on this model.

Forked from https://github.com/mihaelacr/pydeeplearn

Borrowed the webcam live video capture from the Pydeeplearn repository

Added support for training CNNs to recognize facial expressions using Keras Deep Learning library