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TFX : A TensorFlow-Based Production-Scale Machine Learni..:

, In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,

Baylor, Denis ; Breck, Eric ; Cheng, Heng-Tze... - p. 1387-1395 , 2017

Link: https://dl.acm.org/doi/10.1145/3097983.3098021

RT 
T1 <cTitle>Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>TFX				: A TensorFlow-Based Production-Scale Machine Learning Platform</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3098021&Exemplar=1&LAN=DE
				
A1 Baylor, Denis
A1 Breck, Eric
A1 Cheng, Heng-Tze
A1 Fiedel, Noah
A1 Foo, Chuan Yu
A1 Haque, Zakaria
A1 Haykal, Salem
A1 Ispir, Mustafa
A1 Jain, Vihan
A1 Koc, Levent
A1 Koo, Chiu Yuen
A1 Lew, Lukasz
A1 Mewald, Clemens
A1 Modi, Akshay Naresh
A1 Polyzotis, Neoklis
A1 Ramesh, Sukriti
A1 Roy, Sudip
A1 Whang, Steven Euijong
A1 Wicke, Martin
A1 Wilkiewicz, Jarek
A1 Zhang, Xin
A1 Zinkevich, Martin
PB ACM
YR 2017
K1 continuous training
K1 end-to-end platform
K1 large-scale machine learning
K1 Computing methodologies
K1 Machine learning
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Ultra-large-scale systems
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Data flow architectures
SP 1387
OP 1395
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3097983.3098021
DO https://dl.acm.org/doi/10.1145/3097983.3098021
SF ELIB - SuUB Bremen

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