Put Deep Learning to Work: Accelerate Deep Learning through Amazon SageMaker and ML Services

被引：1
|
作者：
Ye, Wenming [1 ]
Hu, Rachel [2 ]
Enev, Miro [3 ]
机构：
[1] Amazon Web Serv, Redmond, WA 98052 USA
[2] Amazon Web Serv, Palo Alto, CA USA
[3] Nvidia Corp, Edmonds, WA USA
来源：
KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING | 2020年
关键词：
Deep Learning; BERT; NLP; AWS Inferentia; GPU; AWS; Deployment; Distributed training;
D O I：
10.1145/3394486.3406698
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：3496 / 3496
页数：1
相关论文
共 50 条
  • [41] Evaluating the Work Productivity of Assembling Reinforcement through the Objects Detected by Deep Learning
    Li, Jiaqi
    Zhao, Xuefeng
    Zhou, Guangyi
    Zhang, Mingyuan
    Li, Dongfang
    Zhou, Yaochen
    SENSORS, 2021, 21 (16)
  • [42] IMAGE PROCESSING WITH DEEP LEARNING: SURFACE DEFECT DETECTION OF METAL GEARS THROUGH DEEP LEARNING
    Balcioglu, Yavuz Selim
    Sezen, Bulent
    Gok, M. Sahin
    Tunca, Sezai
    MATERIALS EVALUATION, 2022, 80 (02) : 44 - 53
  • [43] Learning heuristics for weighted CSPs through deep reinforcement learning
    Dingding Chen
    Ziyu Chen
    Zhongshi He
    Junsong Gao
    Zhizhuo Su
    Applied Intelligence, 2023, 53 : 8844 - 8863
  • [44] Learning heuristics for weighted CSPs through deep reinforcement learning
    Chen, Dingding
    Chen, Ziyu
    He, Zhongshi
    Gao, Junsong
    Su, Zhizhuo
    APPLIED INTELLIGENCE, 2023, 53 (08) : 8844 - 8863
  • [45] Using deep learning to accelerate magnetic resonance measurements of molecular exchange
    Cheng, Zhaowei
    Hu, Songtao
    Han, Guangxu
    Fang, Ke
    Jin, Xinyu
    Ordinola, Alfredo
    Ozarslan, Evren
    Bai, Ruiliang
    JOURNAL OF CHEMICAL PHYSICS, 2023, 159 (05):
  • [46] Deep learning can accelerate and quantify simulated localized correlated spectroscopy
    Zohaib Iqbal
    Dan Nguyen
    Michael Albert Thomas
    Steve Jiang
    Scientific Reports, 11
  • [47] Deep learning can accelerate and quantify simulated localized correlated spectroscopy
    Iqbal, Zohaib
    Nguyen Dan
    Thomas, Michael Albert
    Jiang, Steve
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [48] Accelerate Scientific Deep Learning Models on Heterogeneous Computing Platform with FPGA
    Jiang, Chao
    Ojika, David
    Vallecorsa, Sofia
    Kurth, Thorsten
    Prabhat
    Patel, Bhavesh
    Lam, Herman
    24TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2019), 2020, 245
  • [49] Accelerate distributed deep learning with cluster-aware sketch quantization
    Keshi GE
    Yiming ZHANG
    Yongquan FU
    Zhiquan LAI
    Xiaoge DENG
    Dongsheng LI
    Science China(Information Sciences), 2023, 66 (06) : 138 - 154
  • [50] Deep learning can accelerate grasp-optimized motion planning
    Ichnowski, Jeffrey
    Avigal, Yahav
    Satish, Vishal
    Goldberg, Ken
    SCIENCE ROBOTICS, 2020, 5 (48)
12345