TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
Martín AbadiAshish AgarwalPaul BarhamEugene BrevdoZhifeng ChenCraig CitroGregory S. CorradoAndy DavisJeffrey DeanMatthieu DevinSanjay GhemawatIan J. GoodfellowAndrew HarpGeoffrey IrvingMichael IsardYangqing JiaRafal JózefowiczLukasz KaiserManjunath KudlurJosh LevenbergDan ManéRajat MongaSherry MooreDerek Gordon MurrayChris OlahMike SchusterJonathon ShlensBenoit SteinerIlya SutskeverKunal TalwarPaul A. TuckerVincent VanhouckeVijay VasudevanFernanda B. ViégasOriol VinyalsPete WardenMartin WattenbergMartin WickeYuan YuXiaoqiang ZhengPublished in: CoRR (2016)
Keyphrases
- distributed systems
- machine learning
- loosely coupled
- distributed environment
- load balancing
- message passing
- fault tolerant
- real world
- geographically distributed
- fault tolerance
- mobile agents
- distributed computing
- distributed database systems
- concurrent systems
- learning algorithm
- real time systems
- operating system
- artificial intelligence
- data replication
- database
- deadlock detection
- wireless sensor networks
- database management systems
- mobile computing
- security policies