Decoding Emotions: Deep Learning Facial Recognition

Computer vision’s crucial role in facial expression detection has many practical applications. Facial expression recognition has been remarkably successful with deep learning techniques. We present a thorough review of cutting-edge deep learning-based face emotion identification methods in this research paper. We go over the many deep learning architectures utilised for this assignment the difficulties encountered and the solutions. We also provide a comparison of how different techniques performed on test datasets. We cover recent developments in the recognition of facial emotions, including transfer learning, multi-task learning, and models based on attention. Researchers, practitioners, and developers working on the subject of computer vision, particularly those with an interest in facial expression identification, may find the findings reported in this study to be helpful.