/Neural-Machine-Translation-with-Attention

focus: Attention model

Primary LanguageJupyter Notebook

Neural Machine Translation

This notebook will talk about

  • Building a Neural Machine Translation (NMT) model to translate human-readable dates ("25th of June, 2009") into machine-readable dates ("2009-06-25").
  • this will be done by using an attention model, one of the most sophisticated sequence-to-sequence models.

Model used:

This notebook is derived from the MOOC course Sequence Models by deeplearning.ai