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Encoder-Decoder Recurrent Neural Network Models for Neural Machine Translation - MachineLearningMastery.com
The encoder-decoder architecture for recurrent neural networks is the standard neural machine translation method that rivals and in some cases outperforms classical statistical machine translation methods. This architecture is very new, having only been pioneered in 2014, although, has been adopted as the core technology inside Google’s ...
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