Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiang, Dongwei"'
Recently, several JavaScript-based deep learning frameworks have emerged, making it possible to perform deep learning tasks directly in browsers. However, little is known on what and how well we can do with these frameworks for deep learning in brows
Externí odkaz:
http://arxiv.org/abs/1901.09388
Autor:
Xiang, Hongtao1,2 (AUTHOR), Wang, Shiya3 (AUTHOR), Liang, Xiaoyan3 (AUTHOR), Wang, Xueyang2 (AUTHOR), Xie, Hongchang1,2 (AUTHOR), Wang, Deming1,2 (AUTHOR), Gai, Zhijia2 (AUTHOR), Wang, Nannan2 (AUTHOR), Xiang, Peng2 (AUTHOR), Han, Dongwei2 (AUTHOR), Shan, Dapeng2 (AUTHOR), Li, Yichu2 (AUTHOR), Li, Wan2 (AUTHOR) xianght@aliyun.com
Publikováno v:
Scientific Reports. 12/15/2023, Vol. 13 Issue 1, p1-13. 13p.
Autor:
Liang, Jianghui, Deng, Xiaolian, Zhang, Yingyi, Fei, Tianchi, Ouyang, Muzi, Yu, Chengjie, Xiang, Yang, Jia, Dongwei, Duan, Fangfang
Publikováno v:
Frontiers in Genetics; 2024, p1-17, 17p
Publikováno v:
Artificial Intelligence Review; Mar2023, Vol. 56 Issue 3, p1971-2010, 40p
This book proposes various deep learning models featuring how deep learning algorithms have been applied and used in real-life settings. The complexity of real-world scenarios and constraints imposed by the environment, together with budgetary and re