Save, Load and Export Models with Keras
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In this 1 hour long project based course, you will learn to save, load and restore models with Keras. In Keras, we can save just the model weights, or we can save weights along with the entire model architecture. We can also export the models to TensorFlow's Saved Mode format which is very useful when serving a model in production, and we can load models from the Saved Model format back in Keras as well.
In order to be successful in this project, you should be familiar with python programming, and basics of neural networks.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Syllabus
- Save, Load, and Export Models with Keras
- Welcome to this project-based course on how to save, load, and export models with Keras. In this 1 hour long project, you will learn to save, load, and restore models with Keras. In Keras, we can save just the model weights, or we can save weights along with the entire model architecture. We can also export the models to TensorFlow's Saved Mode format which is very useful when serving a model in production, and we can load models from the Saved Model format back in Keras as well.
Taught by
Amit Yadav
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