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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.

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.

To Run The Code​

Ensure you have followed the setup steps. Then,

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