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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

Karthik Tsaliki
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user7608017
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1 Answers1

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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.

Karthik Tsaliki
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