Artificial Intelligence and Deep Learning Applications: A Review

https://doi.org/10.55529/jaimlnn.12.10.13

Authors

  • G.Ramachandran Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission’s KirupanandaVariyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed to be University), Salem, Tamil Nadu, India
  • S.Kannan Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission’s KirupanandaVariyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed to be University), Salem, Tamil Nadu, India

Abstract

Deep Learning, a buzz in the artificial intelligence field, is the subset of machine learning. It teaches computers to learn from examples in order to perform a task that is intuitive to humans. It is also known as a deep neural network or deep neural learning. In deep learning, neural networks have a significant role. These are a set of algorithms that we implement to identify relevant relationships in datasets, and they follow the process that imitates the human brain. Neural networks depict the behavior of the human brain and enable computer algorithms to identify trends. It also solves complex problems in the domain of machine learning, AI, and data science.Deep learning deploys artificial neural networks to recognize the hidden patterns of data in the dataset provided. These algorithms are trained over an adequate amount of time and applied to a data set.

Published

2021-10-20

How to Cite

G.Ramachandran, & S.Kannan. (2021). Artificial Intelligence and Deep Learning Applications: A Review. Journal of Artificial Intelligence,Machine Learning and Neural Network , 1(02), 10–13. https://doi.org/10.55529/jaimlnn.12.10.13