Implementing Neural Networks Efficiently

Author:

Collobert Ronan,Kavukcuoglu Koray,Farabet Clément

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Bergstra, J., Breuleux, O., Bastien, F., Lamblin, P., Pascanu, R., Desjardins, G., Turian, J., Bengio, Y.: Theano: a CPU and GPU math expression compiler. In: Proceedings of the Python for Scientific Computing Conference, SciPy (2010)

2. Bottou, L.: Large-scale machine learning with stochastic gradient descent. In: Lechevallier, Y., Saporta, G. (eds.) Proceedings of the 19th International Conference on Computational Statistics (COMPSTAT 2010), Paris, France, pp. 177–187. Springer (August 2010)

3. Bottou, L., LeCun, Y.: SN: A simulator for connectionist models. In: Proceedings of NeuroNimes 1988, Nimes, France (1988)

4. Le, Q.V., Coates, A., Prochnow, B., Ng, A.Y.: On optimization methods for deep learning. Learning, 265–272 (2011)

5. LeCun, Y., Bottou, L.: Lush reference manual. Technical report (2002), code, http://lush.sourceforge.net

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