Analysis of deep learning-based applications in grid device identification

Zongliang Yang; Maolin Yang; Yingying Dong

doi:10.1117/12.2604733

5 October 2021 Analysis of deep learning-based applications in grid device identification

Zongliang Yang, Maolin Yang, Yingying Dong

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 1191126 (2021) https://doi.org/10.1117/12.2604733
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

Deep learning is a brand new field in machine learning research which constructs structured models to extract features by simulating the cognitive aspects of the human brain. The whole training process requires only the cooperative work of computers and no human involvement. In this paper, we explore the application and prospect of image recognition in grid equipment identification with respect to the principle of deep learning and the current development status in image recognition.

Citation Download Citation

Zongliang Yang, Maolin Yang, and Yingying Dong "Analysis of deep learning-based applications in grid device identification", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 1191126 (5 October 2021); https://doi.org/10.1117/12.2604733

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