-
2
-
-
84862277874
-
Understanding the difficulty of training deep feedforward neural networks
-
X. Glorot and Y. Bengio, "Understanding the difficulty of training deep feedforward neural networks," in Proc. AISTATS, 2010, pp. 249-256
-
(2010)
Proc. AISTATS
, pp. 249-256
-
-
Glorot, X.1
Bengio, Y.2
-
3
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. Hinton, S. Osindero, and Y. Teh, "A fast learning algorithm for deep belief nets," Neural Computation, vol. 18, pp. 1527-1554, 2006
-
(2006)
Neural Computation
, vol.18
, pp. 1527-1554
-
-
Hinton, G.1
Osindero, S.2
Teh, Y.3
-
4
-
-
84055211743
-
Acoustic modeling using deep belief networks
-
A. Mohamed, G. E. Dahl, and G. Hinton, "Acoustic modeling using deep belief networks," IEEE Trans. ASLP, vol. 20, no. 1, pp. 14-22, 2012
-
(2012)
IEEE Trans. ASLP
, vol.20
, Issue.1
, pp. 14-22
-
-
Mohamed, A.1
Dahl, G.E.2
Hinton, G.3
-
5
-
-
84055222005
-
Contextdependent pre-trained deep neural networks for large vocabulary speech recognition
-
G. E. Dahl, D. Yu, L. Deng, and A. Acero, "Contextdependent pre-trained deep neural networks for large vocabulary speech recognition," IEEE Trans. ASLP, vol. 20, no. 1, pp. 30-42, 2012
-
(2012)
IEEE Trans. ASLP
, vol.20
, Issue.1
, pp. 30-42
-
-
Dahl, G.E.1
Yu, D.2
Deng, L.3
Acero, A.4
-
7
-
-
84858976070
-
Feature engineering in context-dependent deep neural networks for conversational speech transcription
-
F. Seide, G. Li, L. Chen, and D. Yu, "Feature engineering in context-dependent deep neural networks for conversational speech transcription," in Proc. ASRU, 2011, pp. 24-29
-
(2011)
Proc. ASRU
, pp. 24-29
-
-
Seide, F.1
Li, G.2
Chen, L.3
Yu, D.4
-
9
-
-
77956509090
-
Rectified linear units improve restricted Boltzmann machines
-
V. Nair and G. E. Hinton, "Rectified linear units improve restricted Boltzmann machines," in Proc. ICML, 2010, pp. 807-814
-
(2010)
Proc. ICML
, pp. 807-814
-
-
Nair, V.1
Hinton, G.E.2
-
10
-
-
84878538214
-
Are sparse representations rich enough for acoustic modeling
-
O. Vinyals and L. Deng, "Are sparse representations rich enough for acoustic modeling?," in Proc. INTERSPEECH, 2012
-
(2012)
Proc. INTERSPEECH
-
-
Vinyals, O.1
Deng, L.2
-
11
-
-
79952429502
-
-
Technical Report, Dept. of Electrical and Comp. Eng., University of Toronto
-
D.L. Ly, V. Paprotski, and D. Yen, "Neural networks on GPUs: Restricted Boltzmann Machines," Technical Report, Dept. of Electrical and Comp. Eng., University of Toronto, 2009
-
(2009)
Neural Networks on GPUs: Restricted Boltzmann Machines
-
-
Ly, D.L.1
Paprotski, V.2
Yen, D.3
-
13
-
-
84867584652
-
Improved pre-training of deep belief networks using sparse encoding symmetric machines
-
C. Plahl, T. N. Sainath, B. Ramabhadran, and D. Nahamoo, "Improved pre-training of deep belief networks using sparse encoding symmetric machines," in Proc. ICASSP, 2012, pp. 4165-4168
-
Proc. ICASSP, 2012
, pp. 4165-4168
-
-
Plahl, C.1
Sainath, T.N.2
Ramabhadran, B.3
Nahamoo, D.4
-
14
-
-
84055212007
-
Sparse multilayer perceptron for phoneme recognition
-
G.S.V.S. Sivaram and H. Hermansky, "Sparse multilayer perceptron for phoneme recognition," IEEE Trans. ASLP, vol. 20, no. 1, pp. 23-29, 2012
-
(2012)
IEEE Trans. ASLP
, vol.20
, Issue.1
, pp. 23-29
-
-
Sivaram, G.S.V.S.1
Hermansky, H.2
-
15
-
-
84867585919
-
Understanding how Deep Belief Networks perform acoustic modelling
-
A. Mohamed, G. E. Hinton, and G. Penn, "Understanding how Deep Belief Networks perform acoustic modelling," in Proc. ICASSP, 2012, pp. 4273-4276
-
(2012)
Proc. ICASSP
, pp. 4273-4276
-
-
Mohamed, A.1
Hinton, G.E.2
Penn, G.3
-
16
-
-
85162069624
-
Phone recognition with themean-covariance Restricted Boltzmann Machine
-
G. E. Dahl, M. Ranzato, A. Mohamed, and G. Hinton, "Phone recognition with themean-covariance Restricted Boltzmann Machine," in NIPS, 2010, pp. 469-477.
-
(2010)
NIPS
, pp. 469-477
-
-
Dahl, G.E.1
Ranzato, M.2
Mohamed, A.3
Hinton, G.4
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