Mark migrated examples to Keras 3

[sachinprasadhs]

Mark the below list of tutorials as Keras 3 which was recently migrated from Keras 2 to Keras 3.

[gemini-code-assist]

Summary of Changes

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This pull request updates the internal configuration file that tracks Keras examples, ensuring that recently migrated tutorials are correctly identified as compatible with Keras 3. This change helps maintain accurate documentation and categorization of examples within the Keras ecosystem, reflecting their current framework version support.

Highlights

• Keras 3 Migration Marking: Updated the metadata for several Keras examples, changing their compatibility flag from keras_2: True to keras_3: True.
• Example Updates: Specifically marked the 'Distilling Vision Transformers' (deit), 'Focal Modulation: A replacement for Self-Attention' (focal_modulation_network), 'Automatic Speech Recognition using CTC' (ctc_asr), and 'Graph representation learning with node2vec' (node2vec_movielens) examples as Keras 3 compatible.

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Changelog

• scripts/examples_master.py
  • Updated the deit example to be marked as Keras 3 compatible.
  • Updated the focal_modulation_network example to be marked as Keras 3 compatible.
  • Updated the ctc_asr example to be marked as Keras 3 compatible.
  • Updated the node2vec_movielens example to be marked as Keras 3 compatible.

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[gemini-code-assist]

Code Review

This pull request updates the metadata for four examples to mark them as migrated to Keras 3. While the examples have been updated to use Keras 3, my review found that they are not all fully backend-agnostic. Some examples contain TensorFlow-specific code that would prevent them from running on JAX or PyTorch backends, and others explicitly hardcode a specific backend. I've left specific comments on the corresponding lines in examples_master.py with details. These issues should be addressed to ensure the examples correctly represent Keras 3's multi-backend capabilities.