Big learning and deep neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7700 LECTURE NO, Issue , 2012, Pages 419-420

  Montavon, Grégoire ^a   Müller, Klaus Robert ^a,b  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84872533173     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35289-8_24     Document Type: Editorial

References (7)

1. Bengio, Y., LeCun, Y.: Scaling learning algorithms towards AI. In: Large Scale Kernel Machines (2007)
2. Bottou, L.: Stochastic Gradient Descent Tricks. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 421-436. Springer, Heidelberg (2012)
3. LeCun, Y., Bottou, L., Orr, G.B., Muller, K.-R.: Efficient BackProp. In: Orr, G.B., Muller, K.-R. (eds.) NIPS-WS 1996. LNCS, vol. 1524, pp. 9-50. Springer, Heidelberg (1998)
4. Collobert, R., Kavukcuoglu, K., Farabet, C.: Implementing Neural Networks Efficiently. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 537-557. Springer, Heidelberg (2012)
5. Bengio, Y.: Practical Recommendations for Gradient-based Training of Deep Architectures. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 437-478. Springer, Heidelberg (2012)
6. Martens, J., Sutskever, I.: Training Deep and Recurrent Networks with Hessian-free Optimization. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 479-535. Springer, Heidelberg (2012)
7. Zimmermann, H.-G., Tietz, C., Grothmann, R.: Forecasting with Recurrent Neural Networks: 12 Tricks. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 687-707. Springer, Heidelberg (2012)