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Zewen Li, Fan Liu, Wenjie Yang, Shouheng Peng, Jun Wei Zhou
A convolutional neural network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limited to computer vision and natural language processing, it attracted much attention from both industry and academia in the past few years. The existing reviews mainly focus on CNN's applications in different scenarios without considering CNN from a general perspective, and some novel ideas proposed recently are not covered. In this review, we aim to provide some novel ideas and prospects in this fast-growing field. Besides, not only 2-D convolution but also 1-D and multidimensional ones are involved. First, this review introduces the history of CNN. Second, we provide an overview of various convolutions. Third, some classic and advanced CNN models are introduced; especially those key points making them reach state-of-the-art results. Fourth, through experimental analysis, we draw some conclusions and provide several rules of thumb for functions and hyperparameter selection. Fifth, the applications of 1-D, 2-D, and multidimensional convolution are covered. Finally, some open issues and promising directions for CNN are discussed as guidelines for future work.
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Li, Z., Liu, F., Yang, W., Peng, S., & Zhou, J. W. (2021). A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. IEEE Transactions on Neural Networks and Learning Systems, 33(12), 6999–7019. https://doi.org/10.1109/tnnls.2021.3084827
Li, Zewen, et al. "A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects." IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 12, 2021, pp. 6999–7019, https://doi.org/10.1109/tnnls.2021.3084827.
Li, Zewen, Fan Liu, Wenjie Yang, Shouheng Peng, and Jun Wei Zhou. "A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects." IEEE Transactions on Neural Networks and Learning Systems 33, no. 12 (2021): 6999–7019. https://doi.org/10.1109/tnnls.2021.3084827.
Li Z., Liu F., Yang W. [и др.] A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects // IEEE Transactions on Neural Networks and Learning Systems. — 2021. — Vol. 33, № 12. — P. 6999–7019. — URL: https://doi.org/10.1109/tnnls.2021.3084827
@article{li2021survey,
title = {{A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects}},
author = {Zewen Li and Fan Liu and Wenjie Yang and Shouheng Peng and Jun Wei Zhou},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
year = {2021},
volume = {33},
number = {12},
pages = {6999--7019},
doi = {10.1109/tnnls.2021.3084827},
url = {https://doi.org/10.1109/tnnls.2021.3084827}
}TY - JOUR AU - Li, Zewen AU - Liu, Fan AU - Yang, Wenjie AU - Peng, Shouheng AU - Zhou, Jun Wei TI - A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects JO - IEEE Transactions on Neural Networks and Learning Systems VL - 33 IS - 12 SP - 6999 EP - 7019 PY - 2021 DA - 2021/06/10 DO - 10.1109/tnnls.2021.3084827 UR - https://doi.org/10.1109/tnnls.2021.3084827 ER -
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