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In machine learning, RNN encoder-decoder refers to a pair of recurrent networks where one encodes an input sequence into a vector and the other decodes it into an output sequence. This meaning comes from Cho (2014) in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP).[1]
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