Keras Tutorial: Checkpointing distributed models with Orbax

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Don't let device failures or power outages ruin your training runs. In this tutorial, Yufeng Guo demonstrates how to use Keras with the Orbax checkpointing library. Learn how to implement a custom checkpoint manager and Keras callbacks to ensure your model state is always safely stored. 0:00 Introduction to Orbax & Keras Integration 0:39 Exploring Keras Checkpointing 1:11 Why Extend Keras for Multi-Host Environments? 1:48 What is Orbax? 2:29 Building Utility Classes: KerasOrbaxCheckpointManager & OrbaxCheckpointCallback 2:57 Deep Dive into KerasOrbaxCheckpointManager 3:45 Coding the Get, Save, and Restore State Functions 4:37 Implementing the OrbaxCheckpointCallback 5:12 Protecting Against Device Failures & Preemption 5:31 Implementation Details & Model.fit Integration 6:07 Checkpointing in Action: File Directory Walkthrough 6:56 Summary & Final Tips Resources: Orbax checkpointing in Keras - Developer guide → https://goo.gle/40T2LI8 ModelCheckpoint - Keras 3 API documentation → https://goo.gle/3PkAlEq Subscribe to Google for Developers → https://goo.gle/developers Speaker: Yufeng Guo Products Mentioned: Google AI

Published 2026-03-06 · Watch on YouTube ↗
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