A Comprehensive Survey of Deep Learning: Advancements, Applications, and Challenges

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Published: Aug 18, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i8s.7225

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B. Yamini
Assistant Professor, Dept of Networking and Communications, School of Computing, SRM Institute of Science and Tech, Chennai, India
V. Prasanna
Assistant Professor, Dept of Computer Applications, BS Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
C. Ambhika
Assistant Professor, Dept of IT, Velammal Institute of Technology, Panchetti, India
Anuradha. M
Professor, Dept of CSE, S.A.Engineering College, Poonamallee, India
B. Maheswari
Assistant Professor, Dept of CSE, Rajalakshmi Institute of Technology, Chennai
Siva Subramanian. R
Associate Professor, Dept of CSE, RMK College of Engg and Tech, Puduvoyal
M. Nalini
Associate Professor, Dept of CSE, S.A.Engineering College,Poonamallee, India

Abstract

Artificial intelligence's "deep learning" discipline has taken off, revolutionizing a variety of industries, from computer vision and natural language processing to healthcare and finance. Deep learning has shown extraordinary effectiveness in resolving complicated issues, and it has a wide range of potential applications, from autonomous vehicles to healthcare. The purpose of the survey to study deep learning's present condition, including recent advancements, difficulties, and constraints since the subject is currently fast growing. The basic ideas of deep learning, such as neural networks, activation functions, and optimization algorithms, are first introduced. We next explore numerous topologies, emphasizing their distinct properties and uses, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Further concepts, applications, and difficulties of deep learning are all covered in this survey paper's thorough review. This survey aid the academics, professionals, and individuals who want to learn more about deep learning and explore its applications to challenging situations in the real world.

Article Details

How to Cite
Yamini, B., Prasanna, V., Ambhika, C., M, A., Maheswari, B., R, S. S., & Nalini, M. (2023). A Comprehensive Survey of Deep Learning: Advancements, Applications, and Challenges. International Journal on Recent and Innovation Trends in Computing and Communication, 11(8s), 445–453. https://doi.org/10.17762/ijritcc.v11i8s.7225
Issue
Vol. 11 No. 8s (2023)
Section
Articles

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