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Gated recurrent unit

Gated recurrent unit

The simpler variant of the long short-term memory network

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Edits on 7 Aug 2018
Golden AI"Linkify text links in standard tables"
Golden AI edited on 7 Aug 2018 10:43 pm
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Author
Title
Link
Type

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Improving speech recognition by revising gated recurrent units

Academic paper

Rahul Dey and Fathi M. Salem

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Academic paper

Edits on 5 Jun 2018
Golden AI"Corrections"
Golden AI edited on 5 Jun 2018 11:29 pm
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Further reading (+10/-10 characters)

Further reading

Author
Title
Link
Type

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Improving speech recognition by revising gated recurrent units

Academic Paperpaper

Rahul Dey and Fathi M. Salem

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Academic Paperpaper

Edits on 1 Jun 2018
Golden AI"Merging standard tables"
Golden AI edited on 1 Jun 2018 2:58 am
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Academic papers (-2 rows) (-6 cells) (-302 characters)
Further reading (+2 rows) (+8 cells) (+330 characters)

Academic papers

Author
Title
Link

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Improving speech recognition by revising gated recurrent units

Rahul Dey and Fathi M. Salem

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Further reading

Author
Title
Link
Type

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Improving speech recognition by revising gated recurrent units

Academic Paper

Rahul Dey and Fathi M. Salem

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Academic Paper

Edits on 5 Apr 2018
Jude Gomila
Jude Gomila edited on 5 Apr 2018 11:13 pm

Academic papers

Author
Title
Link

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Improving speech recognition by revising gated recurrent units

Edits on 26 Feb 2018
Alex Dean
Alex Dean edited on 26 Feb 2018 9:28 pm
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Gated recurrent unit

The simpler variant of the long short-term memory network

Edits on 24 Jan 2018
Melanie Manipula"correction"
Melanie Manipula edited on 24 Jan 2018 11:01 pm
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Article (-4 characters)

Article

GRU has is composed of two gates, a reset gate and an update gate. The reset gate combines the new input with the previous memory while the update gate defines how much of the previous memory to store.

Melanie Manipula
Melanie Manipula edited on 24 Jan 2018 9:45 pm
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Article

Gated Recurrent Unit Neural Networks have shown success in various applications involving sequential or temporal data . It hashave been applied extensively in speech recognition, natural language processing, machine

Melanie Manipula
Melanie Manipula edited on 24 Jan 2018 9:42 pm
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Description (+57 characters)
Article (+1016 characters)
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Gated recurrent unit

The simpler variant of the long short-term memory network

Article

Gated recurrent unit is a type of recurrent neural network that is similar to long short-term memory networks (LSTMs). It is also used to address the vanishing gradient problem.



GRU has is composed of two gates, a reset gate and an update gate. The reset gate combines the new input with the previous memory while the update gate defines how much of the previous memory to store.



GRU uses the basic idea of a gating mechanism to learn long-term dependencies same as in LSTM. The key differences are, GRU has two gates, an LSTM has three gates, it does not have an internal memory different from the exposed hidden state, it does not have an output gate, the input and forget gates are coupled by an update gate and the reset gate is directly applied to the previous hidden state.

...

Gated Recurrent Unit Neural Networks have shown success in various applications involving sequential or temporal data . It has been applied extensively in speech recognition, natural language processing, machine

translation among others.

Academic papers

Author
Title
Link

Rahul Dey and Fathi M. Salem

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Edits on 1 Jan 2017
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 Gated recurrent unit

The simpler variant of the long short-term memory network

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