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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… Expand
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Papers overview

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Review
2019
Review
2019
In order to effectively provide ultra reliable low latency communications and pervasive connectivity for Internet of Things (IoT… Expand
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Review
2019
Review
2019
This survey paper describes a literature review of deep learning (DL) methods for cyber security applications. A short tutorial… Expand
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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… Expand
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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… Expand
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Highly Cited
2013
Highly Cited
2013
This paper shows how Long Short-term Memory recurrent neural networks can be used to generate complex sequences with long-range… Expand
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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… Expand
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Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… Expand
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Highly Cited
2006
Highly Cited
2006
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In… Expand
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Highly Cited
2001
Highly Cited
2001
The report introduces a constructive learning algorithm for recurrent neural networks, which modifies only the weights to output… Expand
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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… Expand
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