Update dependency keras to v3 - autoclosed

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
keras	==2.15.0 -> ==3.0.1

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Release Notes

keras-team/keras (keras)

v3.0.1: Keras 3.0.1

Compare Source

This is a minor release focused on bug fixes and performance improvements.

What's Changed

• Bug fixes and performance improvements.
• Add stop_evaluating and stop_predicting model attributes for callbacks, similar to stop_training.
• Add keras.device() scope for managing device placement in a multi-backend way.
• Support dict items in PyDataset.
• Add hard_swish activation and op.
• Fix cuDNN LSTM performance on TensorFlow backend.
• Add a force_download arg to get_file to force cache invalidation.

Full Changelog: keras-team/keras@v3.0.0...v3.0.1

v3.0.0: Keras 3.0.0

Major updates

See the release announcement for a detailed list of major changes. Main highlights compared to Keras 2 are:

• Keras can now be run on top of JAX, PyTorch, TensorFlow, and even NumPy (note that the NumPy backend is inference-only).
• New low-level keras.ops API for building cross-framework components.
• New large-scale model distribution keras.distribution based on JAX.
• New stateless API for layers, models, optimizers, and metrics.

Breaking changes

See this thread for a complete list of breaking changes, as well as the Keras 3 migration guide.

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Configuration

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