Data Augmentation Method for Switchgear Defect Samples Based on Wasserstein Generative Adversarial Network
نویسندگان
چکیده
منابع مشابه
Wasserstein Generative Adversarial Network
Recent advances in deep generative models give us new perspective on modeling highdimensional, nonlinear data distributions. Especially the GAN training can successfully produce sharp, realistic images. However, GAN sidesteps the use of traditional maximum likelihood learning and instead adopts an two-player game approach. This new training behaves very differently compared to ML learning. Ther...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2020
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1659/1/012056