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Grad-CAM: Understanding AI Models
1 School of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK
2 Department of Information Systems, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
* Corresponding Author: Yudong Zhang. Email:
Computers, Materials & Continua 2023, 76(2), 1321-1324. https://doi.org/10.32604/cmc.2023.041419
Received 21 April 2023; Accepted 17 May 2023; Issue published 30 August 2023
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Artificial intelligence; Grad-CAM; deep learning; convolutional neural networks; classification; location; explainable
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APA Style
Wang, S., Zhang, Y. (2023). Grad-cam: understanding AI models. Computers, Materials & Continua, 76(2), 1321-1324. https://doi.org/10.32604/cmc.2023.041419
Vancouver Style
Wang S, Zhang Y. Grad-cam: understanding AI models. Comput Mater Contin. 2023;76(2):1321-1324 https://doi.org/10.32604/cmc.2023.041419
IEEE Style
S. Wang and Y. Zhang, “Grad-CAM: Understanding AI Models,” Comput. Mater. Contin., vol. 76, no. 2, pp. 1321-1324, 2023. https://doi.org/10.32604/cmc.2023.041419
Copyright © 2023 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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