<p>Seq2Seq and Bidirectional RNNs are not doing the same thing, at least in their classic form.</p>
<p>Seq2Seq models are used to generate a sequence from another sequence. Consider, for example, the translation task from one language to another. In that sense, Seq2Seq is more a family of models, not an architecture.</p>
<p>On the other hand, the Bidirectional RNN is a neural network architecture and can be used to build several models including Seq2Seq, for example, the encoding part of the Seq2Seq can be a Bi-RNN, but they also can be used for other tasks, for example, sentence classification or sentiment analysis.</p>

CC BY-SA 4.0
2020-03-03T09:05:48.747Z
2021-11-24T11:48:05.677Z
2021-11-24T11:48:05.677Z
hola
<p>It seems to me that Seq2Seq models and Bidirectional RNNs try to do the same thing. Is that true?</p>
<p>Also, when would you recommend one setup over another?</p>

<comparison><recurrent-neural-networks><seq2seq><bidirectional-rnn>
Do Seq2Seq models and the Bidirectional RNN do the same thing?
ADSBJason
# Do Seq2Seq models and the Bidirectional RNN do the same thing?

(Asked by: username_0 on 2020-03-03)

It seems to me that Seq2Seq models and Bidirectional RNNs try to do the same thing. Is that true?

Also, when would you recommend one setup over another?

**Tags:** comparison, recurrent-neural-networks, seq2seq, bidirectional-rnn


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## 1 answers

### Answer by username_1 on 2020-03-03. Score: 1

Seq2Seq and Bidirectional RNNs are not doing the same thing, at least in their classic form.

Seq2Seq models are used to generate a sequence from another sequence. Consider, for example, the translation task from one language to another. In that sense, Seq2Seq is more a family of models, not an architecture.

On the other hand, the Bidirectional RNN is a neural network architecture and can be used to build several models including Seq2Seq, for example, the encoding part of the Seq2Seq can be a Bi-RNN, but they also can be used for other tasks, for example, sentence classification or sentiment analysis.


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