Added examples migrated to Keras 3 in examples_master.py

[dhantule]

I have added examples that have been migrated to Keras 3 in the examples_master.py

1. Highly accurate boundaries segmentation using BASNet PR
2. Large-scale multi-label text classification PR
3. Multimodal entailment PR
4. Using the Forward-Forward Algorithm for Image Classification PR
5. Approximating non-Function Mappings with Mixture Density Networks PR
6. Classification with Gated Residual and Variable Selection Networks with HyperParameters tuning PR
7. Electroencephalogram Signal Classification for Brain-Computer Interface PR
8. Audio Classification with the STFTSpectrogram layer PR
9. Self-supervised contrastive learning with SimSiam PR

[gemini-code-assist]

Summary of Changes

Hello @dhantule, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the examples_master.py script to accurately reflect the Keras 3 compatibility of several examples. By adding the keras_3: True flag to these entries, the change ensures that the example catalog correctly guides users to Keras 3-ready implementations, enhancing discoverability and utility for the Keras community.

Highlights

• Keras 3 Compatibility: The 'Highly accurate boundaries segmentation using BASNet' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Using the Forward-Forward Algorithm for Image Classification' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Self-supervised contrastive learning with SimSiam' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Large-scale multi-label text classification' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Multimodal entailment' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Classification with Gated Residual and Variable Selection Networks with HyperParameters tuning' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Electroencephalogram Signal Classification for Brain-Computer Interface' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Speaker Recognition' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Audio Classification with the STFTSpectrogram layer' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.
• Keras 3 Compatibility: The 'Approximating non-Function Mappings with Mixture Density Networks' example has been updated to include the keras_3: True flag, indicating its compatibility with Keras 3.

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[gemini-code-assist]

Code Review

The pull request successfully adds several new Keras 3 compatible examples to the examples_master.py file and updates an existing entry with the keras_3: True flag. The new entries correctly reflect the titles and subcategories of their respective examples. There are a few minor formatting inconsistencies that should be addressed for better code maintainability.

[sachinprasadhs]

Made some comments about ordering these examples.

[sachinprasadhs]

LGTM, Thanks

[sachinprasadhs]

Rebase with master to run with latest changes.