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Sequence to Sequence Learning with Neural Networks

Sequence to Sequence Learning with Neural Networks

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where α,β,γ is the translation of a,b,c. This way, ais in close proximity to α, bis fairly close to β, and so on, a fact that makes it easy for SGD to “establish communication”between the input and the output. We found this simple data transformation to greatly improve the performance of the LSTM. 3 Experiments

  Data, Learning, Sequence, Translation, Sequence to sequence learning

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