Jason Brownlee made it to a savepoint in time:
Given that deep learning models can take hours, days and even weeks to train, it is important to know how to save and load them from disk.
In this post, you will discover how you can save your Keras models to file and load them up again to make predictions.
After reading this tutorial you will know:
– How to save model weights and model architecture in separate files.
– How to save model architecture in both YAML and JSON format.
– How to save model weights and architecture into a single file for later use.
Read on for an updated step-by-step tutorial.