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] Deep Internal Learning: Deep learning from a single input
    Tirer, Tom
    Giryes, Raja
    Chun, Se Young
    Eldar, Yonina C.
    IEEE SIGNAL PROCESSING MAGAZINE, 2024, 41 (04) : 40 - 57
  • [42] Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning
    Duan, Caohui
    Deng, He
    Xiao, Sa
    Xie, Junshuai
    Li, Haidong
    Zhao, Xiuchao
    Han, Dongshan
    Sun, Xianping
    Lou, Xin
    Ye, Chaohui
    Zhou, Xin
    EUROPEAN RADIOLOGY, 2022, 32 (01) : 702 - 713
  • [43] Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning
    Caohui Duan
    He Deng
    Sa Xiao
    Junshuai Xie
    Haidong Li
    Xiuchao Zhao
    Dongshan Han
    Xianping Sun
    Xin Lou
    Chaohui Ye
    Xin Zhou
    European Radiology, 2022, 32 : 702 - 713
  • [44] From Deep Learning to Deep Reasoning
    Truyen Tran
    Vuong Le
    Le, Hung
    Le, Thao M.
    KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 4076 - 4077
  • [45] Deep Belief Networks and Deep Learning
    Hua, Yuming
    Guo, Junhai
    Zhao, Hua
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTERNET OF THINGS, 2015, : 1 - 4
  • [46] Deep learning for finance: deep portfolios
    Heaton, J. B.
    Polson, N. G.
    Witte, J. H.
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2017, 33 (01) : 3 - 12
  • [47] S2 REDUCER: HIGH-PERFORMANCE SPARSE COMMUNICATION TO ACCELERATE DISTRIBUTED DEEP LEARNING
    Ge, Keshi
    Fu, Yongquan
    Zhang, Yiming
    Lai, Zhiquan
    Deng, Xiaoge
    Li, Dongsheng
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 5233 - 5237
  • [48] APINET: A Methodology for Deploying Deep and Machine Learning Models as Services
    Zatarain Cabada, Ramon
    Barron Estrada, Maria Lucia
    Leyva Lopez, Nestor
    Cardenas Lopez, Hector Manuel
    Batiz Beltran, Victor Manuel
    2023 MEXICAN INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE, ENC, 2024,
  • [49] A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
    Ahmed Ben Said
    Abdelkarim Erradi
    Azadeh Ghari Neiat
    Athman Bouguettaya
    Mobile Networks and Applications, 2019, 24 : 1120 - 1133
  • [50] Ensemble Deep Learning Aided VNF Deployment for IoT Services
    Emu, Mahzabeen
    Choudhury, Salimur
    2020 16TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), 2020,
12345