A Comprehensive Literature Review on Convolutional Neural Networks Article Swipe
YOU?
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· 2022
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.21746237.v1
From their initial days, the fields of computer vision and image processing have been dealing with visual recognition problems. Convolutional Neural Networks (CNNs) in machine learning are deep architectures built as feed-forward neural networks or perceptrons, which are inspired by the research done in fields of visual analysis by the visual cortex of mammals like cats. This work analyzes CNNs for computer vision tasks, natural language processing, fundamental sciences and engineering problems, and other miscellaneous tasks. The general CNN structure, along with its mathematical intuition and working, a brief critical commentary on the advantages and disadvantages, which leads researchers to search for alternatives to CNN, is also mentioned. The paper also serves as an appreciation of the brain-child of past researchers for the existence of such a prolific architecture for handling multidimensional data and approaches to improve their performance further.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.36227/techrxiv.21746237.v1
- https://www.techrxiv.org/articles/preprint/A_Comprehensive_Literature_Review_on_Convolutional_Neural_Networks/21746237/1/files/38582141.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 150
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311921845
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4311921845Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.36227/techrxiv.21746237.v1Digital Object Identifier
- Title
-
A Comprehensive Literature Review on Convolutional Neural NetworksWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-20Full publication date if available
- Authors
-
Ehsan Ur Rahman Mohammed, Narasimha Reddy Soora, Sharfuddin Waseem MohammedList of authors in order
- Landing page
-
https://doi.org/10.36227/techrxiv.21746237.v1Publisher landing page
- PDF URL
-
https://www.techrxiv.org/articles/preprint/A_Comprehensive_Literature_Review_on_Convolutional_Neural_Networks/21746237/1/files/38582141.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.techrxiv.org/articles/preprint/A_Comprehensive_Literature_Review_on_Convolutional_Neural_Networks/21746237/1/files/38582141.pdfDirect OA link when available
- Concepts
-
Convolutional neural network, Computer science, Artificial intelligence, Intuition, Perceptron, Architecture, Visual processing, Artificial neural network, Deep learning, Visual cortex, Machine learning, Cognitive science, Perception, Psychology, Neuroscience, Art, Visual artsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
150Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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