A Comparative Study of Generative Adversarial Networks for Image Recognition Algorithms Based on Deep Learning and Traditional Methods

Research article (2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS), 2024) · cited 13× · AI/ML
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A Comparative Study of Generative Adversarial Networks for Image Recognition Algorithms Based on Deep Learning and Traditional Methods

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A Comparative Study of Generative Adversarial Networks for Image Recognition Algorithms Based on Deep Learning and Traditional Methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Comparative Study of Generative Adversarial Networks for Image Recognition Algorithms Based on Deep Learning and Traditional Methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-of-generative-adversarial-networks-for-image-recognition-algorithms-based-on-deep-learning-and-tradi
MLA “A Comparative Study of Generative Adversarial Networks for Image Recognition Algorithms Based on Deep Learning and Traditional Methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-of-generative-adversarial-networks-for-image-recognition-algorithms-based-on-deep-learning-and-tradi.
BibTeX @misc{4ortxyz_a-comparative-study-of-generative-adversarial-networks-for-image-recognition-algorithms-based-on-deep-learning-and-tradi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparative Study of Generative Adversarial Networks for Image Recognition Algorithms Based on Deep Learning and Traditional Methods}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-of-generative-adversarial-networks-for-image-recognition-algorithms-based-on-deep-learning-and-tradi}, note = {Accessed: 2026-05-24}}
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