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Recurrent neural network

Known as: Recurrent neural networks, RNN, Simple recurrent network 
A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This creates an… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
In this paper we compare different types of recurrent units in recurrent neural networks (RNNs). Especially, we focus on more… 
Highly Cited
2014
Highly Cited
2014
We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units… 
Highly Cited
2014
Highly Cited
2014
Long Short-Term Memory (LSTM) is a specific recurrent neural network (RNN) architecture that was designed to model temporal… 
Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… 
Highly Cited
2011
Highly Cited
2011
We present several modifications of the original recurrent neural network language model (RNN LM).While this model has been shown… 
Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… 
Highly Cited
2008
Highly Cited
2008
  • A. Graves
  • Studies in Computational Intelligence
  • 2008
  • Corpus ID: 2118350
Recurrent neural networks are powerful sequence learners. They are able to incorporate context information in a flexible way, and… 
Highly Cited
1997
Highly Cited
1997
In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network… 
Highly Cited
1995
Highly Cited
1995
This book, by the authors of the Neural Network Toolbox for MATLAB, provides a clear and detailed coverage of fundamental neural… 
Highly Cited
1989
Highly Cited
1989
The exact form of a gradient-following learning algorithm for completely recurrent networks running in continually sampled time…