Recurrent Neural Networks
Recurrent Neural Networks is a type of neural network architecture characterized by directed cycles in its connections, enabling the model to maintain an internal state that captures temporal dynamics and process sequences of variable length through recursive application of shared parameters over time steps.
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Recurrent Neural NetworkRecurrent Neural Network ModelsRnnRnn ModelsRnns
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Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations
Jeffrey L. Elman · Cognitive Science · 1990 · 10.8K citations
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Jun‐Young Chung, Çağlar Gülçehre, Kyunghyun Cho et al. · arXiv (Cornell University) · 2014 · 10.8K citations · Full text
Speech recognition with deep recurrent neural networks
Alex Graves, Abdelrahman Mohamed, Geoffrey E. Hinton · 2013 · 8.8K citations
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Dalle Molle Institute for Artificial Intelligence Research, Switzerland
39 publications · 125.1K citations
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Chinese University of Hong Kong
Hong Kong, Hong Kong
68 h-index
236 publications
27.1K citations

Chinese Academy of Sciences
Beijing, China
63 h-index
355 publications
47.5K citations
Tsinghua University
Beijing, China
60 h-index
407 publications
53.9K citations
Google (United States)
Mountain View, United States
59 h-index
368 publications
90.9K citations

Southeast University
Nanjing, China
51 h-index
178 publications
15.3K citations
Stanford University
Stanford, United States
50 h-index
279 publications
54.4K citations
Nanyang Technological University
Singapore, Singapore
50 h-index
212 publications
21.7K citations

City University of Hong Kong
Hong Kong, Hong Kong
47 h-index
124 publications
9.7K citations
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