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Addresses feedback that parametrization is not a well-known topic. Added introductory section that explains:

  • What parametrizations are (transformations applied to parameters)
  • Why they are needed (enforcing constraints like orthogonality)
  • What problems they solve (hard constraints, optimization, regularization)
  • Real-world motivation with concrete examples
  • References for further reading (key papers and resources)

This provides essential context for beginners before diving into examples.

Fixes #3581

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  • The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
  • Only one issue is addressed in this pull request
  • Labels from the issue that this PR is fixing are added to this pull request
  • No unnecessary issues are included into this pull request.

Addresses feedback that parametrization is not a well-known topic.
Added introductory section that explains:
- What parametrizations are (transformations applied to parameters)
- Why they are needed (enforcing constraints like orthogonality)
- What problems they solve (hard constraints, optimization, regularization)
- Real-world motivation with concrete examples
- References for further reading (key papers and resources)

This provides essential context for beginners before diving into examples.
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pytorch-bot bot commented Nov 27, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3669

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Feedback about Parametrizations Tutorial

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