Wu, X.; Xiang, B.; Lu, H.; Li, C.; Huang, X.; Huang, W.
Optimizing Recurrent Neural Networks: A Study on Gradient Normalization of Weights for Enhanced Training Efficiency. Appl. Sci. 2024, 14, 6578.
https://doi.org/10.3390/app14156578
AMA Style
Wu X, Xiang B, Lu H, Li C, Huang X, Huang W.
Optimizing Recurrent Neural Networks: A Study on Gradient Normalization of Weights for Enhanced Training Efficiency. Applied Sciences. 2024; 14(15):6578.
https://doi.org/10.3390/app14156578
Chicago/Turabian Style
Wu, Xinyi, Bingjie Xiang, Huaizheng Lu, Chaopeng Li, Xingwang Huang, and Weifang Huang.
2024. "Optimizing Recurrent Neural Networks: A Study on Gradient Normalization of Weights for Enhanced Training Efficiency" Applied Sciences 14, no. 15: 6578.
https://doi.org/10.3390/app14156578
APA Style
Wu, X., Xiang, B., Lu, H., Li, C., Huang, X., & Huang, W.
(2024). Optimizing Recurrent Neural Networks: A Study on Gradient Normalization of Weights for Enhanced Training Efficiency. Applied Sciences, 14(15), 6578.
https://doi.org/10.3390/app14156578