Face Emotion Detection Using Deep Learning

Abstract

Facial emotion recognition is an emerging research field in detecting Facial Expression. Deep learning algorithms have gained immense success in different areas of implementation such as classification, recommendation models, object recognition etc. The various types of modules that are brought together in this technique for the betterment of the working of the model is mainly contributed by the progress in the field of Deep Learning. The main focus of this work is to create a Neural Network model which is capable of classifying human emotions in a set of 7 different classes. Image data is used for testing, validation, and training of the model.