An Exhaustive Examination of Deep Learning Algorithms: Present Patterns and Prospects for the Future

Deep learning is a subfield of artificial intelligence that has gained significant attention in recent years due to its remarkable success in various domains. The main objective of this research paper is to provide a comprehensive study of deep learning algorithms, including their architecture, training techniques, and applications. In this paper, we have reviewed the literature on deep learning algorithms, highlighting their strengths and limitations. We have also discussed the current trends in deep learning research and provided insights into the future scope of deep learning algorithms. Our findings suggest that deep learning algorithms have the potential to revolutionize various industries and bring significant advancements in the field of artificial intelligence