Seq2Seq Model training: Encoder vs. Decoder Can someone point me to an article which explains how the model training is done in Seq2Seq? I know "Teacher Forcing" is used but what I found so far hasn't been detailed enough. What I am most confused about is where the training happens? The back-propagation goes back to the encoder? 

Any insight here would be really appreciated. Thanks!
You can check medium page, https://link.medium.com/iolQKIWawX.
You can also get more detailed pages on medium itself, shared link includes the references of those.