GitHub repository: ssbhatnagar/Facial_Expression_Recognition
Primary language: Jupyter Notebook
Created: 2020-08-08T09:55:07Z
Description: This is a basic FacialExpression Recognition project, based on deep learning   This project uses a Convolutional Neural Network, Keras with Tensorflow backend, open CV and Flask app  The CNN uses ReLU activation function and trains grayscaled images of size 48X48. The model created is comprised of 4 convolution blocks followed by 2 fully connected layers.    The objective is to classify each face based on the emotion shown in the facial expression into one of seven categories:  0=Angry 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral