Save, Load and Export Models with Keras

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In this Guided Project, you will:

Learn to save, load and export models with Keras.

Learn to save model checkpoints during training.

Clock1 hour
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

Data ScienceDeep LearningMachine LearningTensorflowkeras

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Create a function to return model instances

  2. Data Processing

  3. Keras model checkpoint callback

  4. Create and evaluate a new model instance

  5. Explore the save weights and the save function on model instances

  6. Use the save weights and the save functions to export to and import from the Saved Model format

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

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Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.