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Convolution neural network (CNN) layers in deep learning: A review.

Authors :
Singh, Gurvinder
Kaur, Manbir
Jindal, Pardeep Kumar
Markan, Rohit
Verma, Vikas
Gupta, Shobhna
Source :
AIP Conference Proceedings. 2024, Vol. 3121 Issue 1, p1-4. 4p.
Publication Year :
2024

Abstract

The deep learning technology is growing on day by day with increasing the internet access. The techniques of deep learning used to process information as human brain activities like learning some knowledge, solving the problems, and making the decision. Generally, deep learning provides self.training. In deep learning, CNN architecture is commonly used in many areas such as image processing, video processing, speech recognition, natural language processing etc. In the paper, the overview of deep learning is represented in which artificial intelligence, machine learning deep neural network are introduced. After that, layers of CNN architecture with its layers and techniques of deep learning are discussed. The CNN architecture is also used in image processing for security purposes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
3121
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
178404603
Full Text :
https://doi.org/10.1063/5.0221488