Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)

Note: The animations below are videos. Touch or hover on them (if you're using a mouse) to get play controls so you can pause if needed. Sequence-to-sequence models are deep learning models that have achieved a lot of success in tasks like machine translation, text summarization, and image captioning. Google Translate started using such a model in production in late 2016. These models are explained in the two pioneering papers (Sutskever et al., 2014, Cho et al., 2014).