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This PR introduces a new vignette demonstrating how to perform transfer learning with Keras Applications. It provides a clear, end-to-end example of using a pre-trained model (like ResNet50) as a feature extractor within a tidymodels workflow.

This documentation-driven approach was chosen over adding a new helper function to the API, as the existing framework is already sufficiently flexible. The goal is to empower users by clearly documenting this powerful and common pattern.

This addresses the documentation request in issue #28 .

Key Changes:

  • Added vignettes/applications.Rmd: A new vignette that walks through using the Keras Functional API to add a new classification head to a frozen, pre-trained base model.
  • Updated _pkgdown.yml: Added the new "Transfer Learning" vignette to the "Guides" section of the documentation website's navigation bar.

@davidrsch davidrsch linked an issue Sep 10, 2025 that may be closed by this pull request
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@davidrsch davidrsch merged commit 4e68758 into main Sep 10, 2025
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@davidrsch davidrsch deleted the vignette_for_applications branch September 11, 2025 06:47
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Docs: Add vignette for transfer learning with Keras Applications
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