01. Intro
Hi! It's Jay
Hi again!
This section will get you ready for the upcoming Machine Translation project.
In the project, you'll be able to build a model that does machine translation. To be more specific, you'll be building 4 models, which are:
- A simple RNN.
- An RNN with embedding.
- A bidirectional RNN.
- (Optional) An encoder-decoder model.
In the following lab, we'll practice how to build the first model, a simple RNN in Keras. The one difference between this lab and the project is that in the lab, the RNN will process inputs and outputs on a character basis, whereas the RNN in the project will process them on a word basis.
But before that, let's look at some of the technical details of using RNNs for Machine Translation.