Abstract
The field of artificial intelligence has developed rapidly this year, and new high-tech companies with their main business have sprung up. After years of theoretical knowledge accumulation and computer hardware equipment upgrade, deep learning began to show its talents in the field of artificial intelligence such as computer vision and voice processing. Deep learning is mainly based on multi-layer neural network to imitate, learn, and apply images, texts, and voices. As one of the deep learning algorithms, convolutional neural networks are favored by researchers in related fields because of their local connections and the advantages of weight sharing. On the basis of expounding the deep learning algorithm of convolutional neural networks at home and abroad, this paper analyzes and summarizes the application of deep learning algorithm by convolutional neural networks and prospects its development trend, hoping to engage related convolutional neural networks. Provided a reference for researchers.
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Acknowledgements
This paper is funded by Project of:
1. School level scientific research project of XiangNan Universit, Research on network security situation prediction based on data fusion, (No. 2017XJ16).
2. Chenzhou Municipal Science and Technology Project, Research on Real-time Monitoring System of Intelligent Trash Can, (No. [2018]102).
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Guo, M., Xiao, M., Yu, F. (2020). Research on Deep Learning Algorithm and Application Based on Convolutional Neural Network. In: Kountchev, R., Patnaik, S., Shi, J., Favorskaya, M. (eds) Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Smart Innovation, Systems and Technologies, vol 179. Springer, Singapore. https://doi.org/10.1007/978-981-15-3863-6_13
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DOI: https://doi.org/10.1007/978-981-15-3863-6_13
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