Learning nonregular languages: A comparison of simple recurrent networks and LSTM

J. Schmidhuber; F. Gers; D. Eck

doi:10.1162/089976602320263980

Learning nonregular languages: A comparison of simple recurrent networks and LSTM

J. Schmidhuber, F. Gers, D. Eck

Research output: Contribution to journal › Article › peer-review

59 Scopus citations

Abstract

In response to Rodriguez's recent article (2001), we compare the performance of simple recurrent nets and long short-term memory recurrent nets on context-free and context-sensitive languages.

Original language	English (US)
Pages (from-to)	2039-2041
Number of pages	3
Journal	Neural Computation
Volume	14
Issue number	9
DOIs	https://doi.org/10.1162/089976602320263980
State	Published - Sep 1 2002
Externally published	Yes

ASJC Scopus subject areas

Cognitive Neuroscience

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Learning nonregular languages: A comparison of simple recurrent networks and LSTM

Abstract

ASJC Scopus subject areas

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