How to Develop a Seq2Seq Model for Neural Machine Translation in Keras - MachineLearningMastery.com

The encoder-decoder model provides a pattern for using recurrent neural networks to address challenging sequence-to-sequence prediction problems, such as machine translation. Encoder-decoder models...

By · · 1 min read
How to Develop a Seq2Seq Model for Neural Machine Translation in Keras - MachineLearningMastery.com

Source: MachineLearningMastery.com

The encoder-decoder model provides a pattern for using recurrent neural networks to address challenging sequence-to-sequence prediction problems, such as machine translation. Encoder-decoder models can be developed in the Keras Python deep learning library and an example of a neural machine translation system developed with this model has been described on the Keras blog, with sample […]