Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters.
Shaohuai ShiXianhao ZhouShutao SongXingyao WangZilin ZhuXue HuangXinan JiangFeihu ZhouZhenyu GuoLiqiang XieRui LanXianbin OuyangYan ZhangJieqian WeiJing GongWeiliang LinPing GaoPeng MengXiaomin XuChenyang GuoBo YangZhibo ChenYongjian WuXiaowen ChuPublished in: CoRR (2020)
Keyphrases
- deep learning
- scalable distributed
- deep architectures
- restricted boltzmann machine
- unsupervised learning
- unsupervised feature learning
- machine learning
- deep belief networks
- clustering algorithm
- weakly supervised
- supervised learning
- training set
- mental models
- data points
- file system
- online learning
- multiscale
- learning algorithm