International Journal of Advanced Network, Monitoring, and Controls | |
Research on the Application of Convolutional Neural Networks in the Image Recognition | |
article | |
Gao Zhiyu1  Liu Bailin3  Gu Hongxian1  Mu Jing1  | |
[1] School of Computer Science and Engineering Xi'an Technological University Xi’an;.State and Provincial Joint Engineering Lab of Advanced Network;.School of Computer Science and Engineering Xi'an Technological University Xi’an | |
关键词: Image Recognition; Deep Learning; Machine Learning; Convolutional Neural Networks; | |
DOI : 10.21307/ijanmc-2020-014 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Asociación Regional De Diálisis Y Trasplantes Renales | |
【 摘 要 】
Over the past few years, benefits from the strong feature extraction advantages of Convolutional Neural Networks (CNN)themselves and the efforts and applicationby researchers making, research work on CNN in the field of image recognition has yielded many results and achieved the best performance in classification and regression tasks. This paper focuses on the improvement and application history ofCNNand summarizes the direction of improvement and optimization of CNN in recent years from the perspective of the structure of CNN themselves and their applications in various fields. Finally, this review is summarized with a further outlook on the development direction of CNN.
【 授权许可】
CC BY-NC-ND
【 预 览 】
Files | Size | Format | View |
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RO202307160003358ZK.pdf | 471KB | download |