How to Checkpoint Deep Learning Models in Keras

Deep learning models can take hours, days, or even weeks to train.

If the run is stopped unexpectedly, you can lose a lot of work.

In this post, you will discover how to checkpoint your deep learning models during training in Python using the Keras library.

Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

  • Jun/2016: First published
  • Update Mar/2017: Updated for Keras 2.0.2, TensorFlow 1.0.1 and Theano 0.9.0
  • Update Mar/2018: Added alternate link to download the dataset
  • Update Sep/2019: Updated for Keras 2.2.5 API
  • Update Oct/2019: Updated for Keras 2.3.0 API
  • Update Jul/2022: Updated for TensorFlow 2.x API and mentioned



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