<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Research on the Application of Convolutional Neural Networks in the Image Recognition

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Over the past few years, benefits from the strong feature extraction advantages of Convolutional Neural Networks (CNN)themselves and the efforts and...

Research on the Application of Convolutional Neural Networks in the Image Recognition

Data publikacji: 13 lip 2020

Zakres stron: 31 - 38

DOI: https://doi.org/10.21307/ijanmc-2020-014

Słowa kluczowe
Image Recognition, Deep Learning, Machine Learning, Convolutional Neural Networks

© 2020 Gao Zhiyu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Research on the Application of Convolutional Neural Networks in the Image Recognition

Data publikacji: 13 lip 2020

Zakres stron: 31 - 38

DOI: https://doi.org/10.21307/ijanmc-2020-014

Słowa kluczoweImage Recognition, Deep Learning, Machine Learning, Convolutional Neural Networks

© 2020 Gao Zhiyu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Słowa kluczowe
Image Recognition, Deep Learning, Machine Learning, Convolutional Neural Networks