In the last video we saw LSTMs and how they work with cell state
to help keep context in a way that helps with understanding language.
Well, words that aren't immediate neighbors can affect each other's context.
In this video, you'll see some other options of RNN including convolutions,
Gated Recurrent Units also called GRUs, and
more on how you can write the code for them.
You'll investigate the impact that they have on training.
I'm not going to go into depth on how they work,
and that information is available in the deep learning specialization from Andrew.
So do check it out there.