Seq2Seq

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Seq2Seq A Sequence-to-Sequence model reads a sequence (such as a sentence) as an input and produces another sequence as an output. It differs from a standard RNN in that the input sequence is completely read before the network starts producing any output. Typically, seq2seq models are implemented using two RNNs, functioning as encoders and decoders. Neural Machine Translation is a typical example of a seq2seq model. • Sequence to Sequence Learning with Neural Networks