How to Develop an Encoder-Decoder Model with Attention for Sequence-to-Sequence Prediction in Keras

The encoder-decoder architecture for recurrent neural networks is proving to be powerful on a host of sequence-to-sequence prediction problems in the field of natural language processing such as machine translation and caption generation. Attention is a mechanism that addresses a limitation of the encoder-decoder architecture on long sequences, and that in general speeds up the … Continue reading How to Develop an Encoder-Decoder Model with Attention for Sequence-to-Sequence Prediction in Keras