How to Make Predictions with Long Short-Term Memory Models in Keras
Last Updated on August 14, 2019
The goal of developing an LSTM model is a final model that you can use on your sequence prediction problem.
In this post, you will discover how to finalize your model and use it to make predictions on new data.
After completing this post, you will know:
- How to train a final LSTM model.
- How to save your final LSTM model, and later load it again.
- How to make predictions on new data.
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Let’s get started.
How to Make Predictions with Long Short-Term Memory Models with Keras
Photo by damon jah, some rights reserved.
Step 1. Train a Final Model
What Is a Final LSTM Model?
A final LSTM model is one that you use to make predictions on new data.
That is, given new examples of input data, you want to use the
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