Original language | English (US) |
---|---|
Title of host publication | Proceedings of the Second International Conference on Learning Representations (ICLR 2014) |
State | Published - 2014 |
Cite this
Pascanu, R., Gulcehre, C., Cho, K., & Bengio, Y. (2014). How to construct deep recurrent neural networks. In Proceedings of the Second International Conference on Learning Representations (ICLR 2014)
How to construct deep recurrent neural networks. / Pascanu, Razvan; Gulcehre, Caglar; Cho, Kyunghyun; Bengio, Yoshua.
Proceedings of the Second International Conference on Learning Representations (ICLR 2014). 2014.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Pascanu, R, Gulcehre, C, Cho, K & Bengio, Y 2014, How to construct deep recurrent neural networks. in Proceedings of the Second International Conference on Learning Representations (ICLR 2014).
Pascanu R, Gulcehre C, Cho K, Bengio Y. How to construct deep recurrent neural networks. In Proceedings of the Second International Conference on Learning Representations (ICLR 2014). 2014
@inproceedings{a81cdc63b81a42f5af92c81179c94532,
title = "How to construct deep recurrent neural networks",
author = "Razvan Pascanu and Caglar Gulcehre and Kyunghyun Cho and Yoshua Bengio",
year = "2014",
language = "English (US)",
booktitle = "Proceedings of the Second International Conference on Learning Representations (ICLR 2014)",
}
TY - GEN
T1 - How to construct deep recurrent neural networks
AU - Pascanu, Razvan
AU - Gulcehre, Caglar
AU - Cho, Kyunghyun
AU - Bengio, Yoshua
PY - 2014
Y1 - 2014
M3 - Conference contribution
BT - Proceedings of the Second International Conference on Learning Representations (ICLR 2014)
ER -