-
2
-
-
84857819132
-
Theano: A CPU and GPU math expression compiler
-
June, Oral
-
James Bergstra, Olivier Breuleux, Fŕed́eric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio. Theano: a CPU and GPU math expression compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010. Oral.
-
(2010)
Proceedings of the Python for Scientific Computing Conference (SciPy)
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
6
-
-
79961226155
-
-
April
-
Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, and Pascal Vincent. The difficulty of training deep architectures and the effect of unsupervised pre-training. pages 153-160, April 2009.
-
(2009)
The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-training
, pp. 153-160
-
-
Erhan, D.1
Manzagol, P.-A.2
Bengio, Y.3
Bengio, S.4
Vincent, P.5
-
9
-
-
68049138790
-
Training products of experts by minimizing contrastive divergence
-
Geoffrey E. Hinton. Training products of experts by minimizing contrastive divergence. Neural Computation, 14:2002, 2000.
-
(2000)
Neural Computation
, vol.14
, pp. 2002
-
-
Hinton, G.E.1
-
10
-
-
78650474133
-
A practical guide to training restricted boltzmann machines
-
Geoffrey E. Hinton. A practical guide to training restricted boltzmann machines. Technical report, University of Toronto, 2010.
-
(2010)
Technical Report, University of Toronto
-
-
Hinton, G.E.1
-
11
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Geoffrey E. Hinton, Simon Osindero, and Yee-Whye Teh. A fast learning algorithm for deep belief nets. Neural Comput., 18(7):1527-1554, 2006.
-
(2006)
Neural Comput.
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
13
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
New York, NY, USA, ACM
-
Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pages 609-616, New York, NY, USA, 2009. ACM.
-
(2009)
Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
14
-
-
84863380535
-
Unsupervised feature learning for audio classification using convolutional deep belief networks
-
Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors
-
Honglak Lee, Peter Pham, Yan Largman, and Andrew Ng. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 1096-1104. 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 1096-1104
-
-
Lee, H.1
Pham, P.2
Largman, Y.3
Ng, A.4
-
15
-
-
84862790430
-
Multimodal deep learning
-
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y. Ng. Multimodal deep learning. In NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2010.
-
(2010)
NIPS Workshop on Deep Learning and Unsupervised Feature Learning
-
-
Ngiam, J.1
Khosla, A.2
Kim, M.3
Nam, J.4
Lee, H.5
Ng, A.Y.6
-
16
-
-
70450159350
-
Stacks of convolutional restricted boltzmann machines for shift-invariant feature learning
-
M. Norouzi, M. Ranjbar, and G. Mori. Stacks of convolutional restricted boltzmann machines for shift-invariant feature learning. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 2735 -2742, 2009.
-
(2009)
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
, pp. 2735-2742
-
-
Norouzi, M.1
Ranjbar, M.2
Mori, G.3
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