TensorFlow -- Sequence to Sequence – Illia Polosukhin – Medium

Today I want to show an example of Sequence to Sequence model with all the latest TensorFlow APIs [as of TF 1.3]. Seq2Seq models are very useful when both your input and output have some structure or time component. Most popular applications are all in the language domain, but one can use it to process time series, trees, and many other intrinsically structured data. Translation has been domain where this models advanced the most, as it has a large enough dataset to train large and complicated models and provides a clear value from advancing state-of-the-art. If you haven't seen, here are few papers on Neural Language Translation with Seq2Seqs: https://arxiv.org/abs/1409.3215,