Empirical evaluation of gated recurrent neural networks on sequence modeling

Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, Yoshua Bengio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish (US)
Title of host publicationNIPS 2014 Workshop on Deep Learning, December 2014
StatePublished - 2014

Cite this

Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014). Empirical evaluation of gated recurrent neural networks on sequence modeling. In NIPS 2014 Workshop on Deep Learning, December 2014

Empirical evaluation of gated recurrent neural networks on sequence modeling. / Chung, Junyoung; Gulcehre, Caglar; Cho, Kyunghyun; Bengio, Yoshua.

NIPS 2014 Workshop on Deep Learning, December 2014. 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chung, J, Gulcehre, C, Cho, K & Bengio, Y 2014, Empirical evaluation of gated recurrent neural networks on sequence modeling. in NIPS 2014 Workshop on Deep Learning, December 2014.
Chung J, Gulcehre C, Cho K, Bengio Y. Empirical evaluation of gated recurrent neural networks on sequence modeling. In NIPS 2014 Workshop on Deep Learning, December 2014. 2014
Chung, Junyoung ; Gulcehre, Caglar ; Cho, Kyunghyun ; Bengio, Yoshua. / Empirical evaluation of gated recurrent neural networks on sequence modeling. NIPS 2014 Workshop on Deep Learning, December 2014. 2014.
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title = "Empirical evaluation of gated recurrent neural networks on sequence modeling",
author = "Junyoung Chung and Caglar Gulcehre and Kyunghyun Cho and Yoshua Bengio",
year = "2014",
language = "English (US)",
booktitle = "NIPS 2014 Workshop on Deep Learning, December 2014",

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AU - Cho, Kyunghyun

AU - Bengio, Yoshua

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Y1 - 2014

M3 - Conference contribution

BT - NIPS 2014 Workshop on Deep Learning, December 2014

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