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keywords = nnets (4 entries)  Select: All None   Action: Show BibTeX

Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov. 2014. Dropout: A simple way to prevent neural networks from overfitting. The Journal of Machine Learning Research, vol 15, no 1, pp 1929--1958. JMLR. org. [nnets, 5star] google scholar
Ian J Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville and Yoshua Bengio. 2013. Maxout networks. arXiv preprint arXiv:1302.4389. [nnets] google scholar
Ilya Sutskever, James Martens, George Dahl and Geoffrey Hinton. 2013. On the importance of initialization and momentum in deep learning. In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp 1139--1147. [nnets] google scholar
John Duchi, Elad Hazan and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research, vol 12, pp 2121--2159. JMLR. org. [nnets, 5star] google scholar

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