Experiment Tracking, Model Management, and Dataset Versioning

In this chapter, we will introduce a set of useful tools for experiment tracking, model management, and dataset versioning, which allows you to effectively manage deep learning (DL) projects. The tools we will be discussing in this chapter can help us track many experiments and interpret the results more efficiently, which naturally leads to a reduction in operational costs and boosts the development cycle. By the end of the chapter, you will have hands-on experience with the most popular tools and be able to select the right set of tools for your project.

In this chapter, we’re going to cover the following main topics:

  • Overview of DL project tracking
  • DL project tracking with ...

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