Convolutional Neural Networks using KERAS for Face Detection and Emotion Recognition.

Abstract

In the past few years, facial expression recognition has been a popular topic in the field of computer vision. The purpose of this research paper is to analyze the use of Convolutional Neural Networks (CNNs) with Keras for facial expression recognition. This paper will discuss the main architecture of CNNs and the advantages of using Keras for facial expression recognition. It will also discuss the challenges associated with using CNNs for facial expression recognition and the potential solutions. Additionally, a detailed description of the datasets used for the research and the evaluation metrics used to measure the performance of the model will be provided. Furthermore, the paper will provide a comprehensive discussion of the results obtained from the experiments and its implications.