-
1
-
-
84958264664
-
Tensor-Flow: Large-scale machine learning on heterogeneous systems
-
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Víegas, O. Vinyals, P. Warden, M.Wattenberg, M.Wicke, Y. Yu, and X. Zheng. Tensor-Flow: Large-scale machine learning on heterogeneous systems. Google Technical Report, 2015.
-
(2015)
Google Technical Report
-
-
Abadi, M.1
Agarwal, A.2
Barham, P.3
Brevdo, E.4
Chen, Z.5
Citro, C.6
Corrado, G.S.7
Davis, A.8
Dean, J.9
Devin, M.10
Ghemawat, S.11
Goodfellow, I.12
Harp, A.13
Irving, G.14
Isard, M.15
Jia, Y.16
Jozefowicz, R.17
Kaiser, L.18
Kudlur, M.19
Levenberg, J.20
Mané, D.21
Monga, R.22
Moore, S.23
Murray, D.24
Olah, C.25
Schuster, M.26
Shlens, J.27
Steiner, B.28
Sutskever, I.29
Talwar, K.30
Tucker, P.31
Vanhoucke, V.32
Vasudevan, V.33
Víegas, F.34
Vinyals, O.35
Warden, P.36
Wattenberg, M.37
Wicke, M.38
Yu, Y.39
Zheng, X.40
more..
-
3
-
-
84951960494
-
From generic to specific deep representations for visual recognition
-
H. Azizpour, A. S. Razavian, J. Sullivan, A. Maki, and S. Carlsson. From generic to specific deep representations for visual recognition. In CVPR Deep Vision Workshop, 2015.
-
(2015)
CVPR Deep Vision Workshop
-
-
Azizpour, H.1
Razavian, A.S.2
Sullivan, J.3
Maki, A.4
Carlsson, S.5
-
5
-
-
84944081816
-
-
arXiv:1410.0759
-
S. Chetlur, C. Woolley, P. Vandermersch, J. Cohen, J. Tran, B. Catanzaro, and E. Shelhamer. cuDNN: efficient primitives for deep learning. arXiv:1410.0759, 2014.
-
(2014)
CuDNN: Efficient Primitives for Deep Learning
-
-
Chetlur, S.1
Woolley, C.2
Vandermersch, P.3
Cohen, J.4
Tran, J.5
Catanzaro, B.6
Shelhamer, E.7
-
6
-
-
85069497682
-
Project Adam: Building an efficient and scalable deep learning training system
-
T. Chilimbi, Y. Suzue, J. Apacible, and K. Kalyanaraman. Project Adam: building an efficient and scalable deep learning training system. In OSDI, 2014.
-
(2014)
OSDI
-
-
Chilimbi, T.1
Suzue, Y.2
Apacible, J.3
Kalyanaraman, K.4
-
8
-
-
84877760312
-
Large scale distributed deep networks
-
J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, M. Mao, M. Ranzato, A. Senior, P. Tucker, K. Yang, Q. V. Le, and A. Y. Ng. Large scale distributed deep networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Dean, J.1
Corrado, G.2
Monga, R.3
Chen, K.4
Devin, M.5
Mao, M.6
Ranzato, M.7
Senior, A.8
Tucker, P.9
Yang, K.10
Le, Q.V.11
Ng, A.Y.12
-
9
-
-
72249100259
-
ImageNet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
11
-
-
84986251172
-
Real-time, content-driven representations at twitter
-
C. Farabet. Real-time, content-driven representations at twitter. In GPU Technology Conference, 2015.
-
(2015)
GPU Technology Conference
-
-
Farabet, C.1
-
12
-
-
84862277874
-
Understanding the difficulty of training deep feedforward neural networks
-
X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. JMLR, 2010.
-
(2010)
JMLR
-
-
Glorot, X.1
Bengio, Y.2
-
13
-
-
84986277640
-
-
S. Guadarrama. BVLC googlenet. https: //github.com/BVLC/caffe/tree/master/models/bvlc-googlenet, 2015.
-
(2015)
BVLC Googlenet
-
-
Guadarrama, S.1
-
14
-
-
84976894417
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. JMLR, 2015.
-
(2015)
JMLR
-
-
Ioffe, S.1
Szegedy, C.2
-
15
-
-
85009867858
-
-
arXiv:1408.5093
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv:1408.5093, 2014.
-
(2014)
Caffe: Convolutional Architecture for Fast Feature Embedding
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
17
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. ImageNet Classification with Deep Convolutional Neural Networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
21
-
-
85084161788
-
Optimizing network performance in distributed machine learning
-
L. Mai, C. Hong, and P. Costa. Optimizing network performance in distributed machine learning. In HotCloud, 2015.
-
(2015)
HotCloud
-
-
Mai, L.1
Hong, C.2
Costa, P.3
-
25
-
-
84959142008
-
Scalable distributed dnn training using commodity GPU cloud computing
-
N. Strom. Scalable distributed dnn training using commodity gpu cloud computing. In INTERSPEECH, 2015.
-
(2015)
INTERSPEECH
-
-
Strom, N.1
-
26
-
-
85009879494
-
-
arXiv:1409.4842
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. arXiv:1409.4842, 2014.
-
(2014)
Going Deeper with Convolutions
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
28
-
-
84959164047
-
-
arXiv:1412.7580
-
N. Vasilache, J. Johnson, M. Mathieu, S. Chintala, S. Piantino, and Y. LeCun. Fast convolutional nets with fbfft: A gpu performance evaluation. arXiv:1412.7580, 2014.
-
(2014)
Fast Convolutional Nets with Fbfft: A GPU Performance Evaluation
-
-
Vasilache, N.1
Johnson, J.2
Mathieu, M.3
Chintala, S.4
Piantino, S.5
LeCun, Y.6
-
29
-
-
0030106918
-
Spert-II: A vector microprocessor system
-
J. Wawrzynek, K. Asanovic, B. Kingsbury, D. Johnson, J. Beck, and N. Morgan. Spert-ii: A vector microprocessor system. Computer, 1996.
-
(1996)
Computer
-
-
Wawrzynek, J.1
Asanovic, K.2
Kingsbury, B.3
Johnson, D.4
Beck, J.5
Morgan, N.6
-
30
-
-
84930572185
-
-
arXiv:1501.02876
-
R. Wu, S. Yan, Y. Shan, Q. Dang, and G. Sun. Deep image: Scaling up image recognition. arXiv:1501.02876, 2015.
-
(2015)
Deep Image: Scaling Up Image Recognition
-
-
Wu, R.1
Yan, S.2
Shan, Y.3
Dang, Q.4
Sun, G.5
-
34
-
-
84905865959
-
Mariana: Tencent deep learning platform and its applications
-
Y. Zou, X. Jin, Y. Li, Z. Guo, E. Wang, and B. Xiao. Mariana: Tencent deep learning platform and its applications. In VLDB, 2014.
-
(2014)
VLDB
-
-
Zou, Y.1
Jin, X.2
Li, Y.3
Guo, Z.4
Wang, E.5
Xiao, B.6
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