Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bo-Yang Hsueh"'
Autor:
Bo Yang Hsueh, Yue Guan, Xipeng Li, Zehuan Wang, Yuhao Zhu, Minyi Guo, Yuxian Qiu, Jingwen Leng, Cong Guo, Xiaoying Jia
Publikováno v:
SC
Network pruning can reduce the high computation cost of deep neural network (DNN) models. However, to maintain their accuracies, sparse models often carry randomly-distributed weights, leading to irregular computations. Consequently, sparse models ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c2be78e3318eb25f94bc22e82fc8075
Publikováno v:
TAAI
This paper proposes a deep reinforcement learning algorithm for solving robotic tasks, such as grasping objects. We propose in this paper a combination of cross-entropy optimization (CE) with deep deterministic policy gradient (DDPG). More specifical
Publikováno v:
WACV
Learning rate scheduler has been a critical issue in the deep neural network training. Several schedulers and methods have been proposed, including step decay scheduler, adaptive method, cosine scheduler and cyclical scheduler. This paper proposes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::409ab6aaa47c0c774c6e45f69d51e952
http://arxiv.org/abs/1806.01593
http://arxiv.org/abs/1806.01593