This is a slight refactor of Tensorflow's data-conversion-attention example. All the credit goes to the TF team and the people that built the model.

I've just refactored things (in a way that make more sense to me) while learning the attention model.

Changes

• I've reorganized the file structure
• I've dropped the frontend part as I'm only interested in the model
• I'm using Jest instead of Jasmine

Running

• npm run train - Train the model
• npm run test - Run unit tests
• npm run flow - One execution of the model (with apply()) over an actual input.

Useful Links

• Attention Mechanism
• Neural Machine Translation by Jointly Learning to Align and Translate
• Effective Approaches to Attention-based Neural Machine Translation