Deep Learning Class
Monday, October 13, 2014
Monday, September 22, 2014
Recurrent Neural Networks + AISTATS 2010
- Recurrent-Neural Networks [X]
- Graves, Mohamed and Hinton. Speech recognition with Deep Recurrent Neural Networks. [http://arxiv.org/abs/1303.5778]
- Unsupervised + Supervised [JW]
- Erhan, Courville, Bengio, Vincent. Why does unsupervised pre-training help deep learning?. AISTATS 2010 [PDF]
Sunday, September 14, 2014
Supervised Learning
Supervised Learning
- Convolutional Networks (MNIST) [I]
- Handwritten
digit recognition with a back-propagation network, Y. LeCun, B. Boser,
J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard and L. D. Jackel
(NIPS 1989) [PDF]
- Alex NET (ImageNet Challenge) [I]
- A. Krizhevsky, I. Sutskever, and G. E. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS 2012. [PDF]
- Visualizing Deep Networks [D]
- M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. ECCV 2014 [http://arxiv.org/abs/1311.2901]
Tuesday, August 26, 2014
Discussions - Unsupervised Learning
Papers
Unsupervised Learning
Unsupervised Learning
- AutoEncoders [C]
- Olsahausen and Field. Sparse Coding with an Overcomplete Basis Set: A Strategy Employed by V1? PDF
- Restricted Boltzmann Machines [C]
- Hinton, G. E., Osindero, S. and Teh, Y. (2006)
A fast learning algorithm for deep belief nets. PDF - R-CNN [X]
- Q. Le, M. Ranzato, R. Monga, M. Devin, K. Chen, G. Corrado, J. Dean, and A. Ng. Building high-level features using large scale unsupervised learning. In Proc. ICML, 2012. [PDF]
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