Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{172004,
        author = {Anshika Singh and Hardik Singh},
        title = {A Survey of Deep Learning and Its Applications in the Real World},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1622-1624},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172004},
        abstract = {A subset of machine learning (ML), deep learning (DL) has become a game-changing technique that is propelling progress in a number of fields. Its ability to process large datasets, extract patterns, and deliver intelligent insights has made it a cornerstone of the Fourth Industrial Revolution. This paper surveys the fundamentals of deep learning, explores its methodologies, and highlights its real-world applications. From healthcare to autonomous systems, DL has proven to be a game-changer. However, challenges such as interpretability and resource dependence remain significant. This survey aims to provide a comprehensive overview of DL techniques and their practical implementations, drawing insights from recent research.},
        keywords = {artificial intelligence, Deep learning, neural networks, supervised learning, real-world applications.},
        month = {January},
        }