CODEWITHSUNDEEP
pythontensorflowdeep-learningrecurrent-neural-networksequence-to-sequence
user7608017
user7608017

Reputation: 1

The difference between RNN Decoder and RNN

We are only using the RNN decoder (without encoder) for text generation, how is RNN decoder different from pure RNN operation?

RNN Decoder in TensorFlow: https://www.tensorflow.org/api_docs/python/tf/contrib/seq2seq/dynamic_rnn_decoder

Pure RNN in TensorFlow: https://www.tensorflow.org/api_docs/python/tf/nn/dynamic_rnn

Thanks for your time

Upvotes: 0

Views: 494

Answers (1)

Karthik Tsaliki
Karthik Tsaliki

Reputation: 196

RNN Decoder is sequence to sequence mapping model. In combination with Encoder takes a sequence as input and generates another sequence as output. In many to many sequence learning setups, the input is a sequence of vectors and the output is another sequence of vectors.

Eg: Speech Wave to Text, Language Translation etc

In General We use Normal RNN for one to one sequence learning setup.

Eg: Next Character Prediction.

Upvotes: 1

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