Tensorflow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 46099* | 2016 |
Tensorflow: a system for large-scale machine learning. M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Osdi 16 (2016), 265-283, 2016 | 20989 | 2016 |
Tensorflow: a system for large-scale machine learning. M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Osdi 16 (2016), 265-283, 2016 | 20989 | 2016 |
Large scale distributed deep networks J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, M Ranzato, ... Advances in neural information processing systems 25, 2012 | 4287 | 2012 |
Building high-level features using large scale unsupervised learning QV Le 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 2903 | 2013 |
TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 649 | 2015 |
Multilingual acoustic models using distributed deep neural networks G Heigold, V Vanhoucke, A Senior, P Nguyen, MA Ranzato, M Devin, ... 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 365 | 2013 |
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 14, 2016 | 299 | 2016 |
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015 | 271 | 2015 |
12th USENIX symposium on operating systems design and implementation (OSDI 16) M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Savannah, GA, 265-283, 2016 | 204 | 2016 |
& Zheng, X.(2016). Tensorflow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th {USENIX} symposium on operating systems design and implementation …, 0 | 100 | |
Google Brain M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... TensorFlow: A system for Large-Scale machine learning, 265-283, 2016 | 96 | 2016 |
Multiframe deep neural networks for acoustic modeling V Vanhoucke, M Devin, G Heigold 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 66 | 2013 |
LELISP, a portable and efficient LISP system J Chailloux, M Devin, JM Hullot Proceedings of the 1984 ACM Symposium on LISP and functional programming …, 1984 | 65 | 1984 |
TensorFlow M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Large-scale machine learning on heterogeneous systems, 2015 | 55 | 2015 |
TensorFlow: A System for Large-Scale Machine Learning This paper is included in the Proceedings of the TensorFlow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Proc 12th USENIX Conf. Oper. Syst. Des. Implement, 272-283, 2016 | 42 | 2016 |
Training a model using parameter server shards GS Corrado, K Chen, JA Dean, S Bengio, R Monga, M Devin US Patent 8,768,870, 2014 | 42 | 2014 |
TensorFlow: Large-scale machine learning on heterogeneous systems. tensorflow. org M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Accessed May 24, 2020, 2015 | 34 | 2015 |
i Xiaoqiang Zheng M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... TensorFlow: Large-scale machine learning on heterogeneous systems, 2015 | 29 | 2015 |
LE-LISP version 15.2: le manuel de référence J Chailloux, FR Dupont, M Devin INRIA, 1986 | 28 | 1986 |