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The rnn package provides components for implementing a wide range of Recurrent Neural Networks.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
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Building a large annotated corpus of english: The penn treebank
M. P. Marcus, M. A. Marcinkiewicz, and B. Santorini · 1993
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Lua-an extensible extension language
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Long short-term memory
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Y. LeCun, C. Cortes, and C. J. Burges · 1998
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A guide to recurrent neural networks and backpropagation
M. Boden · 2001
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Learning representations by back-propagating errors
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Opinion mining and sentiment analysis
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Torch7: A matlab-like environment for machine learning
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Improving neural networks by preventing co-adaptation of feature detectors
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Statistical language models based on neural networks
T. Mikolov · 2012
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Speech recognition with deep recurrent neural networks
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Recurrent convolutional neural networks for scene parsing
P. H. Pinheiro and R. Collobert · 2013
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Training recurrent neural networks
I. Sutskever · 2013
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Recurrent models of visual attention
V. Mnih, N. Heess, A. Graves, et al · 2014
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Recurrent neural network regularization
W. Zaremba, I. Sutskever, and O. Vinyals · 2014
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K. Greff, R. K. Srivastava, J. Koutník, B. R. Steunebrink, and J. Schmidhuber · 2015
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