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Introduction to Metaflow Tutorial Season 3

This season introduces some of the many interactive aspects of machine learning workflows. You will see how to train a neural network, generate data visualizations, and debug your flows when steps fail. This season is about highlighting how Metaflow can help improve your experience as a developer. When working with heavy resource-consuming models like neural networks, the importance of quick visualizations and the ability to checkpoint and resume your workflows becomes increasingly important.

To Run The Code

Ensure you have followed the setup steps. Then,

cd <YOUR PATH>/tutorials/intro-to-mf/season-3

What You Will Learn

At the end of this season you will be able to:

  • Build neural networks that you can operationalize.
  • Visualize the results of workflows.
  • Checkpoint and resume your machine learning code from a specific step.

For help or feedback, please join Metaflow Slack. To suggest an article, you may open an issue on GitHub.

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