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Spectral Normalization is one of the best methods for stabilizing the training of Generative Adversarial Network. Spectral Normalization limits the gradient of discriminator between the distribution between real data and fake data. However, even with
Externí odkaz:
http://arxiv.org/abs/2211.06595
Autor:
Maki, Shiori, Kohiyama, Masayuki
Publikováno v:
Japan Architectural Review; Oct2022, Vol. 5 Issue 4, p404-431, 28p
Publikováno v:
Japan Architectural Review; Jan2022, Vol. 5 Issue 1, p3-19, 17p
Autor:
Maki, Shiori, Maeka!va, Keoji, Minakoehi, Hajime, Kaboki, Takuo, Matsuka, Yoobizo, Yamashita, Atsunbi
Publikováno v:
Nihon Hotetsu Shika Gakkai Zasshi / Journal of the Japan Prosthodontic Society; Jun1999, Vol. 43 Issue 3, p451-456, 6p