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목록GAN (8)
Engineering insight
[논문 전문] : https://www.mdpi.com/2079-9292/12/3/657[출처] Wong, K.L.; Chou, K.S.; Tse, R.; Tang, S.-K.; Pau, G. A Novel Fusion Approach Consisting of GAN and State-of Charge Estimator for Synthetic Battery Operation Data Generation. Electronics 2023, 12, 657. https://doi.org/10.3390/electronics12030657 ※ The picture and content of this article are from the original paper.All picture and figures use..
[논문 전문] : https://onlinelibrary.wiley.com/doi/abs/10.1002/er.7013[출처] Naaz, Falak & Herle, Aniruddh & Channegowda, Janamejaya & Raj, Aditya & Lakshminarayanan, Meenakshi. (2021). A generative adversarial network‐based synthetic data augmentation technique for battery condition evaluation. International Journal of Energy Research. 45. 10.1002/er.7013. ※ The picture and content of this article ar..
논문 전문 : https://papers.nips.cc/paper_files/paper/2014/hash/5ca3e9b122f61f8f06494c97b1afccf3-Abstract.html [출처] https://doi.org/10.48550/arXiv.1406.2661 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] Generative Adversarial Nets Citation 68,000이 넘는 슈퍼 논문입니다. 저자들만봐도 모두 한명한명 현재 대가라고 불리는 사람들입니다...
논문 전문 : https://arxiv.org/abs/1809.00219 [출처] https://doi.org/10.48550/arXiv.1809.00219 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] ESRGAN : Enhanced Super-Resolution Generative Adversarial Networks 본 논문은 GAN을 활용한 Super Resolution(이하 SR)에 거의 시초격인 논문입니다. GAN 네트워크야 CNN으로 짜면 얼마든지 원하는 모델을 만들..
[pytorch 따라하기-1] 구글 Colab에 pytorch 세팅하기 https://limitsinx.tistory.com/136 [pytorch 따라하기-2] Tensor생성 및 Backward https://limitsinx.tistory.com/137 [pytorch 따라하기-3] 경사하강법을 통한 선형회귀 구현 https://limitsinx.tistory.com/138 [pytorch 따라하기-4] 인공신경망(ANN) 구현 https://limitsinx.tistory.com/139 [pytorch 따라하기-5] 합성곱신경망(CNN) 구현 https://limitsinx.tistory.com/140 [pytorch 따라하기-6] Neural Style Transfer 구현 https://lim..
