Convolutional Neural Networks: A Survey
University of Sfax · Al Baha University
Abstract
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of AI that have emerged as a powerful tool for various tasks including image recognition, speech recognition, natural language processing (NLP), and even in the field of genomics, where they have been utilized to classify DNA sequences. This paper provides a comprehensive overview of CNNs and their applications in image recognition tasks. It first introduces the fundamentals of CNNs, including the layers of CNNs, convolution operation (Conv_Op), Feat_Maps, activation functions (Activ_Func), and training methods. It then discusses…
Citation impact
- FWCI
- 88.94
- Percentile
- 100%
- References
- 211
Authors
1Topics & keywords
- Convolutional neural network
- Computer science
- Artificial intelligence
- Deep learning
- Preprocessor
- Field (mathematics)
- Transfer of learning
- Machine learning