chapter 5 How to Develop Encoder Decoder LSTMs

Lesson Goal

The goal of this lesson is to learn how to develop encoder-decoder LSTM models. After completing this lesson, you will know:

• The Encoder-Decoder LSTM architecture and how to implement it in Keras.
• The addition sequence-to-sequence prediction problem.
• How to develop an Encoder-Decoder LSTM for the addition sequence-to-sequence predic- tion problem.

9.1 Lesson Overview

This lesson is divided into 7 parts; they are:

1. The Encoder-Decoder LSTM.
2. Addition Prediction Problem.
3. Define and Compile the Model.
4. Fit the Model.
5. Evaluate the Model.
6. Make Predictions With the Model.
7. Complete Example.