Learning long-term dependencies with recurrent neural networks
β Scribed by Anton Maximilian Schaefer; Steffen Udluft; Hans-Georg Zimmermann
- Book ID
- 113815739
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 422 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0925-2312
No coin nor oath required. For personal study only.
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Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NARX networks perform much better than conventional recurrent neural networks for learning certain simple long-term dependen
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