Bump keras from 2.14.0 to 3.0.1

[dependabot]

Bumps keras from 2.14.0 to 3.0.1.

Release notes

Sourced from keras's releases.

Keras 3.0.1

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

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.

Commits

• 037ec9f Fix code format.
• d745fa8 [keras/{utils/{audio_dataset_utils_test.py,image_dataset_utils_test.py,text_d...
• 327360e Improve error message for seedless JAX RNG
• 07fc99f Add MHA layer constraints tests
• 947a43b Revert "Remove regularizers/constraints args from MHA layer."
• 1ad0b37 Remove regularizers/constraints args from MHA layer.
• 4e89ad4 Fix constraints handling
• 6ad6f9b Add StatelessScope docstring
• 92f4d17 Ensure dtype consistency for activation functions (#18876)
• ec49bc1 TODO: Add serialization tests for regularizer (#18877)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #14.