APA Zitierstil

Osawa, K., Tsuji, Y., Ueno, Y., Naruse, A., Foo, C., & Yokota, R. (2022). Scalable and Practical Natural Gradient for Large-Scale Deep Learning. IEEE transactions on pattern analysis and machine intelligence, 44(1), 404. https://doi.org/10.1109/TPAMI.2020.3004354

Chicago Zitierstil

Osawa, Kazuki, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, und Rio Yokota. "Scalable and Practical Natural Gradient for Large-Scale Deep Learning." IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 1 (2022): 404. https://dx.doi.org/10.1109/TPAMI.2020.3004354.

MLA Zitierstil

Osawa, Kazuki, et al. "Scalable and Practical Natural Gradient for Large-Scale Deep Learning." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 1, 2022, p. 404.