Update keras to 3.6.0

[pyup-bot]

This PR updates keras from 2.2.5 to 3.6.0.

Changelog

3.6.0

Highlights

* New file editor utility: `keras.saving.KerasFileEditor`. Use it to inspect, diff, modify and resave Keras weights files. [See basic workflow here](https://colab.research.google.com/drive/1b1Rxf8xbOkMyvjpdJDrGzSnisyXatJsW?usp=sharing).
* New `keras.utils.Config` class for managing experiment config parameters.

BREAKING changes

* When using `keras.utils.get_file`, with `extract=True` or `untar=True`, the return value will be the path of the extracted directory, rather than the path of the archive.

Other changes and additions

* Logging is now asynchronous in `fit()`, `evaluate()`, `predict()`. This enables 100% compact stacking of `train_step` calls on accelerators (e.g. when running small models on TPU).
 - If you are using custom callbacks that rely on `on_batch_end`, this will disable async logging. You can force it back by adding `self.async_safe = True` to your callbacks. Note that the `TensorBoard` callback isn't considered async safe by default. Default callbacks like the progress bar are async safe.
* Added `keras.saving.KerasFileEditor` utility to inspect, diff, modify and resave Keras weights file.
* Added `keras.utils.Config` class. It behaves like a dictionary, with a few nice features:
 - All entries are accessible and settable as attributes, in addition to dict-style (e.g. `config.foo = 2` or `config["foo"]` are both valid)
 - You can easily serialize it to JSON via `config.to_json()`.
 - You can easily freeze it, preventing future changes, via `config.freeze()`. 
* Added bitwise numpy ops:
 * `bitwise_and`
 * `bitwise_invert`
 * `bitwise_left_shift`
 * `bitwise_not`
 * `bitwise_or`
 * `bitwise_right_shift`
 * `bitwise_xor`
* Added math op `keras.ops.logdet`.
* Added numpy op `keras.ops.trunc`.
* Added `keras.ops.dot_product_attention`.
* Added `keras.ops.histogram`.
* Allow infinite `PyDataset` instances to use multithreading.
* Added argument `verbose` in `keras.saving.ExportArchive.write_out()` method for exporting TF SavedModel.
* Added `epsilon` argument in `keras.ops.normalize`.
* Added `Model.get_state_tree()` method for retrieving a nested dict mapping variable paths to variable values (either as numpy arrays or backend tensors (default)). This is useful for rolling out custom JAX training loops.
* Added image augmentation/preprocessing layers `keras.layers.AutoContrast`, `keras.layers.Solarization`.
* Added `keras.layers.Pipeline` class, to apply a sequence of layers to an input. This class is useful to build a preprocessing pipeline. Compared to a `Sequential` model, `Pipeline` features a few important differences:
 - It's not a `Model`, just a plain layer.
 - When the layers in the pipeline are compatible with `tf.data`, the pipeline will also remain `tf.data` compatible, independently of the backend you use.


New Contributors
* alexhartl made their first contribution in https://github.com/keras-team/keras/pull/20125
* Doch88 made their first contribution in https://github.com/keras-team/keras/pull/20156
* edbosne made their first contribution in https://github.com/keras-team/keras/pull/20151
* ghsanti made their first contribution in https://github.com/keras-team/keras/pull/20185
* joehiggi1758 made their first contribution in https://github.com/keras-team/keras/pull/20223
* AryazE made their first contribution in https://github.com/keras-team/keras/pull/20228
* sanskarmodi8 made their first contribution in https://github.com/keras-team/keras/pull/20237
* himalayo made their first contribution in https://github.com/keras-team/keras/pull/20262
* nate2s made their first contribution in https://github.com/keras-team/keras/pull/20305
* DavidLandup0 made their first contribution in https://github.com/keras-team/keras/pull/20316

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.5.0...v3.6.0

3.5.0

What's Changed

* Add integration with the Hugging Face Hub. You can now save models to Hugging Face Hub directly from `keras.Model.save()` and load `.keras` models directly from Hugging Face Hub with `keras.saving.load_model()`.
* Ensure compatibility with NumPy 2.0.
* Add `keras.optimizers.Lamb` optimizer.
* Improve `keras.distribution` API support for very large models.
* Add `keras.ops.associative_scan` op.
* Add `keras.ops.searchsorted` op.
* Add `keras.utils.PyDataset.on_epoch_begin()` method.
* Add `data_format` argument to `keras.layers.ZeroPadding1D` layer. 
* Bug fixes and performance improvements.


**Full Changelog**: https://github.com/keras-team/keras/compare/v3.4.1...v3.5.0

3.4.1

This is a minor bugfix release.

3.4.0

Highlights

- Add support for arbitrary, deeply nested input/output structures in Functional models (e.g. dicts of dicts of lists of inputs or outputs...)
- Add support for optional Functional inputs.
- Introduce `keras.dtype_policies.DTypePolicyMap` for easy configuration of dtype policies of nested sublayers of a subclassed layer/model.
- New ops:
- `keras.ops.argpartition`
- `keras.ops.scan`
- `keras.ops.lstsq`
- `keras.ops.switch`
- `keras.ops.dtype`
- `keras.ops.map`
- `keras.ops.image.rgb_to_hsv`
- `keras.ops.image.hsv_to_rgb`

What's changed

- Add support for `float8` inference for `Dense` and `EinsumDense` layers.
- Add custom `name` argument in all Keras Applications models.
- Add `axis` argument in `keras.losses.Dice`.
- Enable `keras.utils.FeatureSpace` to be used in a `tf.data` pipeline even when the backend isn't TensorFlow.
- `StringLookup` layer can now take `tf.SparseTensor` as input.
- `Metric.variables` is now recursive.
- Add `training` argument to `Model.compute_loss()`.
- Add `dtype` argument to all losses.
- `keras.utils.split_dataset` now supports nested structures in dataset.
- Bugs fixes and performance improvements.

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.3.3...v3.4.0

3.3.3

This is a minor bugfix release.

3.3.2

This is a simple fix release that re-surfaces legacy Keras 2 APIs that aren't part of Keras package proper, but that are still featured in `tf.keras`. No other content has changed.

3.3.1

This is a simple fix release that moves the legacy `_tf_keras` API directory to the root of the Keras pip package. This is done in order to preserve import paths like `from tensorflow.keras import layers` without making any changes to the TensorFlow API files.

No other content has changed.

3.3.0

What's Changed

* Introduce float8 training.
* Add LoRA to ConvND layers.
* Add `keras.ops.ctc_decode` for JAX and TensorFlow.
* Add `keras.ops.vectorize`, `keras.ops.select`.
* Add `keras.ops.image.rgb_to_grayscale`.
* Add `keras.losses.Tversky` loss.
* Add full `bincount` and `digitize` sparse support. 
* Models and layers now return owned metrics recursively.
* Add pickling support for Keras models. Note that pickling is not recommended, prefer using Keras saving APIs.
* Bug fixes and performance improvements.

In addition, the codebase structure has evolved:

- All source files are now in `keras/src/`.
- All API files are now in `keras/api/`.
- The codebase structure stays unchanged when building the Keras pip package. This means you can `pip install` Keras directly from the GitHub sources.

New Contributors

* kapoor1992 made their first contribution in https://github.com/keras-team/keras/pull/19484
* IMvision12 made their first contribution in https://github.com/keras-team/keras/pull/19393
* alanwilter made their first contribution in https://github.com/keras-team/keras/pull/19438
* chococigar made their first contribution in https://github.com/keras-team/keras/pull/19323
* LukeWood made their first contribution in https://github.com/keras-team/keras/pull/19555
* AlexanderLavelle made their first contribution in https://github.com/keras-team/keras/pull/19575

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.2.1...v3.3.0

3.2.1

What's Changed

This is a minor bugfix release.


**Full Changelog**: https://github.com/keras-team/keras/compare/v3.2.0...v3.2.1

3.2.0

What changed
- Introduce QLoRA-like technique for LoRA fine-tuning of `Dense` and `EinsumDense` layers (thereby any LLM) in int8 precision.
- Extend `keras.ops.custom_gradient` support to PyTorch.
- Add `keras.layers.JaxLayer` and `keras.layers.FlaxLayer` to wrap JAX/Flax modules as Keras layers.
- Allow `save_model` & `load_model` to accept a file-like object.
- Add quantization support to the `Embedding` layer.
- Make it possible to update metrics inside a custom `compute_loss` method with all backends.
- Make it possible to access `self.losses` inside a custom `compute_loss` method with the JAX backend.
- Add `keras.losses.Dice` loss.
- Add `keras.ops.correlate`.
- Make it possible to use cuDNN LSTM & GRU with a mask with the TensorFlow backend.
- Better JAX support in `model.export()`: add support for aliases, finer control over `jax2tf` options, and dynamic batch shapes.
- Bug fixes and performance improvements.

New Contributors
* abhaskumarsinha made their first contribution in https://github.com/keras-team/keras/pull/19302
* qaqland made their first contribution in https://github.com/keras-team/keras/pull/19378
* tvogel made their first contribution in https://github.com/keras-team/keras/pull/19310
* lpizzinidev made their first contribution in https://github.com/keras-team/keras/pull/19409
* Murhaf made their first contribution in https://github.com/keras-team/keras/pull/19444

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.1.1...v3.2.0

3.1.1

This is a minor bugfix release over 3.1.0.

What's Changed
* Unwrap variable values in all stateless calls. by hertschuh in https://github.com/keras-team/keras/pull/19287
* Fix `draw_seed` causing device discrepancy issue during `torch`'s symbolic execution by KhawajaAbaid in https://github.com/keras-team/keras/pull/19289
* Fix TestCase.run_layer_test for multi-output layers by shkarupa-alex in https://github.com/keras-team/keras/pull/19293
* Sine docstring by grasskin in https://github.com/keras-team/keras/pull/19295
* Fix `keras.ops.softmax` for the tensorflow backend by tirthasheshpatel in https://github.com/keras-team/keras/pull/19300
* Fix mixed precision check in TestCase.run_layer_test: compare with output_spec dtype instead of hardcoded float16 by shkarupa-alex in https://github.com/keras-team/keras/pull/19297
* ArrayDataAdapter no longer converts to NumPy and supports sparse tens… by hertschuh in https://github.com/keras-team/keras/pull/19298
* add token to codecov by haifeng-jin in https://github.com/keras-team/keras/pull/19312
* Add Tensorflow support for variable `scatter_update` in optimizers. by hertschuh in https://github.com/keras-team/keras/pull/19313
* Replace `dm-tree` with `optree` by james77777778 in https://github.com/keras-team/keras/pull/19306
* downgrade codecov to v3 by haifeng-jin in https://github.com/keras-team/keras/pull/19319
* Allow tensors in `tf.Dataset`s to have different dimensions. by hertschuh in https://github.com/keras-team/keras/pull/19318
* update codecov setting by haifeng-jin in https://github.com/keras-team/keras/pull/19320
* Set dtype policy for uint8 by sampathweb in https://github.com/keras-team/keras/pull/19327
* Use Value dim shape for Attention compute_output_shape by sampathweb in https://github.com/keras-team/keras/pull/19284

New Contributors
* tirthasheshpatel made their first contribution in https://github.com/keras-team/keras/pull/19300

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.1.0...v3.1.1

3.1.0

New features
* Add support for `int8` inference. Just call `model.quantize("int8")` to do an in-place conversion of a bfloat16 or float32 model to an int8 model. Note that only `Dense` and `EinsumDense` layers will be converted (this covers LLMs and all Transformers in general). We may add more supported layers over time.
* Add `keras.config.set_backend(backend)` utility to reload a different backend.
* Add `keras.layers.MelSpectrogram` layer for turning raw audio data into Mel spectrogram representation.
* Add `keras.ops.custom_gradient` decorator (only for JAX and TensorFlow).
* Add `keras.ops.image.crop_images`.
* Add `pad_to_aspect_ratio` argument to `image_dataset_from_directory`.
* Add `keras.random.binomial` and `keras.random.beta` functions.
* Enable `keras.ops.einsum` to run with int8 x int8 inputs and int32 output.
* Add `verbose` argument in all dataset-creation utilities.

Notable fixes
* Fix Functional model slicing
* Fix for TF XLA compilation error for `SpectralNormalization`
* Refactor `axis` logic across all backends and add support for multiple axes in `expand_dims` and `squeeze`

New Contributors
* mykolaskrynnyk made their first contribution in https://github.com/keras-team/keras/pull/19190
* chicham made their first contribution in https://github.com/keras-team/keras/pull/19201
* joycebrum made their first contribution in https://github.com/keras-team/keras/pull/19214
* EtiNL made their first contribution in https://github.com/keras-team/keras/pull/19228

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.5...v3.1.0

3.0.5

This release brings many bug fixes and performance improvements, new linear algebra ops, and sparse tensor support for the JAX backend.

Highlights

* Add support for sparse tensors with the JAX backend.
* Add support for saving/loading in bfloat16.
* Add linear algebra ops in `keras.ops.linalg`.
* Support nested structures in `while_loop` op.
* Add `erfinv` op.
* Add `normalize` op.
* Add support for `IterableDataset` to `TorchDataLoaderAdapter`.

New Contributors
* frazane made their first contribution in https://github.com/keras-team/keras/pull/19107
* SamanehSaadat made their first contribution in https://github.com/keras-team/keras/pull/19111
* sitamgithub-MSIT made their first contribution in https://github.com/keras-team/keras/pull/19142
* timotheeMM made their first contribution in https://github.com/keras-team/keras/pull/19169

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.4...v3.0.5

3.0.4

This is a minor release with improvements to the LoRA API required by the next release of KerasNLP.

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.3...v3.0.4

3.0.3

This is a minor Keras release.

What's Changed

* Add built-in LoRA (low-rank adaptation) API to all relevant layers (`Dense`, `EinsumDense`, `Embedding`).
* Add `SwapEMAWeights` callback to make it easier to evaluate model metrics using EMA weights during training.
* All `DataAdapters` now create a native iterator for each backend, improving performance.
* Add built-in prefetching for JAX, improving performance.
* The `bfloat16` dtype is now allowed in the global `set_dtype` configuration utility.
* Bug fixes and performance improvements.

New Contributors

* kiraksi made their first contribution in https://github.com/keras-team/keras/pull/18977
* dugujiujian1999 made their first contribution in https://github.com/keras-team/keras/pull/19010
* neo-alex made their first contribution in https://github.com/keras-team/keras/pull/18997
* anas-rz made their first contribution in https://github.com/keras-team/keras/pull/19057

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.2...v3.0.3

3.0.2

Breaking changes

There are no known breaking changes in this release compared to 3.0.1.

API changes

- Add `keras.random.binomial` and `keras.random.beta` RNG functions.
- Add masking support to `BatchNormalization`.
- Add `keras.losses.CTC` (loss function for sequence-to-sequence tasks) as well as the lower-level operation `keras.ops.ctc_loss`.
- Add `ops.random.alpha_dropout` and `layers.AlphaDropout`.
- Add gradient accumulation support for all backends, and enable optimizer EMA for JAX and torch

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.1...v3.0.2

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**: https://github.com/keras-team/keras/compare/v3.0.0...v3.0.1

3.0.0

Major updates

See the [release announcement](https://keras.io/keras_3/) 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](https://github.com/keras-team/keras/issues/18467) for a complete list of breaking changes, as well as the [Keras 3 migration guide](https://keras.io/guides/migrating_to_keras_3/).

2.15.0

What's Changed
* Typofixes for `StringLookup` documentation by cw118 in https://github.com/keras-team/keras/pull/18333
* Fix ModelCheckpoint trained-on batch counting when using steps_per_execution>1 by jasnyj in https://github.com/keras-team/keras/pull/17632
* Fix legacy optimizer handling in `compile_from_config()`. by nkovela1 in https://github.com/keras-team/keras/pull/18492
* Remove options arg from ModelCheckpoint callback for Keras V3 saving, streamline ModelCheckpoint saving flow. Parameterize associated tests. by nkovela1 in https://github.com/keras-team/keras/pull/18545
* Use TENSORFLOW_VERSION when available during pip_build script by sampathweb in https://github.com/keras-team/keras/pull/18739

New Contributors
* cw118 made their first contribution in https://github.com/keras-team/keras/pull/18333
* jasnyj made their first contribution in https://github.com/keras-team/keras/pull/17632

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.14.0...v2.15.0

2.14.0

What's Changed
* [keras/layers/normalization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17965
* Update Python ver to 3.9 in Dockerfile by sampathweb in https://github.com/keras-team/keras/pull/18076
* [keras/saving/legacy/saved_model] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17978
* [keras/metrics] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17972
* Update example losses to bce- metrics/confusion_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18045
* [keras/layers/regularization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17968
* [keras/applications/efficientnet.py]  Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17758
* [keras/models] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17974
* [keras/mixed_precision] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17973
* Update indentation level - losses.py by Frightera in https://github.com/keras-team/keras/pull/18043
* Remove github user sushreebarsa from assignees. by shmishra99 in https://github.com/keras-team/keras/pull/18058
* [keras/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17977
* [keras/testing_infra] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17979
* [keras/benchmarks/benchmark_util.py] Use var rather than string literal for `is None` checks on `measure_performance` by SamuelMarks in https://github.com/keras-team/keras/pull/17980
* Some cleanup // Optimizers by Frightera in https://github.com/keras-team/keras/pull/18124
* [keras/layers/preprocessing] fix comments in RandomWidth, change to 'horizontally' instead of 'vertically' by qibolee in https://github.com/keras-team/keras/pull/18113
* [keras/applications] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17954
* [keras/estimator] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17957
* Fix CategoricalFocalCE documentation by Frightera in https://github.com/keras-team/keras/pull/18144
* [keras/utils] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17953
* [keras/layers/pooling] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17966
* use io_utils.print_msg in datset_utils by pedrobrs in https://github.com/keras-team/keras/pull/18054
* Update indentation level - activations.py by Frightera in https://github.com/keras-team/keras/pull/18036
* [keras/legacy_tf_layers] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17971
* [keras/layers/convolutional] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17963
* [keras/engine] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17956
* [keras/feature_column] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17958
* Fix markdown rendering issue by sachinprasadhs in https://github.com/keras-team/keras/pull/18205
* Consistently use "pickleable" instead of "picklable" by NicoWeio in https://github.com/keras-team/keras/pull/18140
* Use prefetch() after batching // image_dataset.py by Frightera in https://github.com/keras-team/keras/pull/18160
* Update Argument padding for zero_padding1d.py by SuryanarayanaY in https://github.com/keras-team/keras/pull/18223
* RGB image data is not grayscale image data by misterrioes in https://github.com/keras-team/keras/pull/18133
* updated read.me by VaishnaviMudaliar in https://github.com/keras-team/keras/pull/18226
* Fixed the typo in policy.py by tilakrayal in https://github.com/keras-team/keras/pull/18233
* Update example losses  probabilistic_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18234
* Fixed "reset_state" of R2Score metric by pdyakov in https://github.com/keras-team/keras/pull/18251
* Ignore hidden folders for image_dataset_from_directory by sachinprasadhs in https://github.com/keras-team/keras/pull/18177
* Improve error message for input data to fit. by tomrtk in https://github.com/keras-team/keras/pull/18042
* refactor:  _log_epoch_metrics() by arjun-234 in https://github.com/keras-team/keras/pull/18274
* Refactor test cases to improve unit test quality by freddiewanah in https://github.com/keras-team/keras/pull/18303
* typo in disable_interactie_logging by ganeshiva in https://github.com/keras-team/keras/pull/18314
* Removes Python 3.8 support by sampathweb in https://github.com/keras-team/keras/pull/18332
* Update requirements.txt by qlzh727 in https://github.com/keras-team/keras/pull/18382

New Contributors
* sampathweb made their first contribution in https://github.com/keras-team/keras/pull/18076
* shmishra99 made their first contribution in https://github.com/keras-team/keras/pull/18058
* qibolee made their first contribution in https://github.com/keras-team/keras/pull/18113
* pedrobrs made their first contribution in https://github.com/keras-team/keras/pull/18054
* NicoWeio made their first contribution in https://github.com/keras-team/keras/pull/18140
* SuryanarayanaY made their first contribution in https://github.com/keras-team/keras/pull/18223
* misterrioes made their first contribution in https://github.com/keras-team/keras/pull/18133
* VaishnaviMudaliar made their first contribution in https://github.com/keras-team/keras/pull/18226
* pdyakov made their first contribution in https://github.com/keras-team/keras/pull/18251
* tomrtk made their first contribution in https://github.com/keras-team/keras/pull/18042
* arjun-234 made their first contribution in https://github.com/keras-team/keras/pull/18274
* freddiewanah made their first contribution in https://github.com/keras-team/keras/pull/18303
* ganeshiva made their first contribution in https://github.com/keras-team/keras/pull/18314

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.13.1...v2.14.0

2.14.0rc0

What's Changed
* [keras/layers/normalization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17965
* Update Python ver to 3.9 in Dockerfile by sampathweb in https://github.com/keras-team/keras/pull/18076
* [keras/saving/legacy/saved_model] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17978
* [keras/metrics] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17972
* Update example losses to bce- metrics/confusion_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18045
* [keras/layers/regularization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17968
* [keras/applications/efficientnet.py]  Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17758
* [keras/models] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17974
* [keras/mixed_precision] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17973
* Update indentation level - losses.py by Frightera in https://github.com/keras-team/keras/pull/18043
* Remove github user sushreebarsa from assignees. by shmishra99 in https://github.com/keras-team/keras/pull/18058
* [keras/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17977
* [keras/testing_infra] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17979
* [keras/benchmarks/benchmark_util.py] Use var rather than string literal for `is None` checks on `measure_performance` by SamuelMarks in https://github.com/keras-team/keras/pull/17980
* Some cleanup // Optimizers by Frightera in https://github.com/keras-team/keras/pull/18124
* [keras/layers/preprocessing] fix comments in RandomWidth, change to 'horizontally' instead of 'vertically' by qibolee in https://github.com/keras-team/keras/pull/18113
* [keras/applications] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17954
* [keras/estimator] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17957
* Fix CategoricalFocalCE documentation by Frightera in https://github.com/keras-team/keras/pull/18144
* [keras/utils] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17953
* [keras/layers/pooling] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17966
* use io_utils.print_msg in datset_utils by pedrobrs in https://github.com/keras-team/keras/pull/18054
* Update indentation level - activations.py by Frightera in https://github.com/keras-team/keras/pull/18036
* [keras/legacy_tf_layers] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17971
* [keras/layers/convolutional] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17963
* [keras/engine] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17956
* [keras/feature_column] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17958
* Fix markdown rendering issue by sachinprasadhs in https://github.com/keras-team/keras/pull/18205
* Consistently use "pickleable" instead of "picklable" by NicoWeio in https://github.com/keras-team/keras/pull/18140
* Use prefetch() after batching // image_dataset.py by Frightera in https://github.com/keras-team/keras/pull/18160
* Update Argument padding for zero_padding1d.py by SuryanarayanaY in https://github.com/keras-team/keras/pull/18223
* RGB image data is not grayscale image data by misterrioes in https://github.com/keras-team/keras/pull/18133
* updated read.me by VaishnaviMudaliar in https://github.com/keras-team/keras/pull/18226
* Fixed the typo in policy.py by tilakrayal in https://github.com/keras-team/keras/pull/18233
* Update example losses  probabilistic_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18234
* Fixed "reset_state" of R2Score metric by pdyakov in https://github.com/keras-team/keras/pull/18251
* Ignore hidden folders for image_dataset_from_directory by sachinprasadhs in https://github.com/keras-team/keras/pull/18177
* Improve error message for input data to fit. by tomrtk in https://github.com/keras-team/keras/pull/18042
* refactor:  _log_epoch_metrics() by arjun-234 in https://github.com/keras-team/keras/pull/18274
* Refactor test cases to improve unit test quality by freddiewanah in https://github.com/keras-team/keras/pull/18303
* typo in disable_interactie_logging by ganeshiva in https://github.com/keras-team/keras/pull/18314
* Removes Python 3.8 support by sampathweb in https://github.com/keras-team/keras/pull/18332

New Contributors
* sampathweb made their first contribution in https://github.com/keras-team/keras/pull/18076
* shmishra99 made their first contribution in https://github.com/keras-team/keras/pull/18058
* qibolee made their first contribution in https://github.com/keras-team/keras/pull/18113
* pedrobrs made their first contribution in https://github.com/keras-team/keras/pull/18054
* NicoWeio made their first contribution in https://github.com/keras-team/keras/pull/18140
* SuryanarayanaY made their first contribution in https://github.com/keras-team/keras/pull/18223
* misterrioes made their first contribution in https://github.com/keras-team/keras/pull/18133
* VaishnaviMudaliar made their first contribution in https://github.com/keras-team/keras/pull/18226
* pdyakov made their first contribution in https://github.com/keras-team/keras/pull/18251
* tomrtk made their first contribution in https://github.com/keras-team/keras/pull/18042
* arjun-234 made their first contribution in https://github.com/keras-team/keras/pull/18274
* freddiewanah made their first contribution in https://github.com/keras-team/keras/pull/18303
* ganeshiva made their first contribution in https://github.com/keras-team/keras/pull/18314

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.13.1...v2.14.0-rc0

2.13.1

What's Changed
* Fix timeseries_dataset_from_array counts when sequence_stride > 1 by basjacobs93 in https://github.com/keras-team/keras/pull/17396
* Fix doc for MultiHeadAttention's output_shape arg by tsdeng in https://github.com/keras-team/keras/pull/17432
* Added a link to the TextVectorization API Reference Page. by Neeshamraghav012 in https://github.com/keras-team/keras/pull/17540
* Fix ConvNeXt classifier activation bug by Frightera in https://github.com/keras-team/keras/pull/17544
* Activations clean up by joesho112358 in https://github.com/keras-team/keras/pull/17545
* Perform all ops in apply_gradient in a given tf.name_scope. by foxik in https://github.com/keras-team/keras/pull/17550
* Bugfix/normalization invert by jerabaul29 in https://github.com/keras-team/keras/pull/17501
* OptimizerV2: Allow deepcopy by jschueller in https://github.com/keras-team/keras/pull/17463
* keras.models.clone_model creates different weight names for RNN layers by mergian in https://github.com/keras-team/keras/pull/17465
* Fix spelling error in Initializer warning by edknv in https://github.com/keras-team/keras/pull/17568
* LayerScale fix to support pretrained ConvNeXt models with mixed precision by andreped in https://github.com/keras-team/keras/pull/17547
* Softmax fix in Mixed Precision by dsr-lab in https://github.com/keras-team/keras/pull/17571
* Less restrictive ROCm+GRU/LSTM fallback logic by ekuznetsov139 in https://github.com/keras-team/keras/pull/17587
* Update security section. by sachinprasadhs in https://github.com/keras-team/keras/pull/17522
* Fix serialization error with EfficientNet by RocketDelivery in https://github.com/keras-team/keras/pull/17498
* grammar corrections by egurnick in https://github.com/keras-team/keras/pull/17595
* Update documentation to keras reuters dataset by hxy9243 in https://github.com/keras-team/keras/pull/17635
* Add Lion optimizer by drauh in https://github.com/keras-team/keras/pull/17605
* Correct the docstring of Head func in convnext.py by Frightera in https://github.com/keras-team/keras/pull/17667
* keras.layers.Bidirectional is missing argument "states", which is defined for keras.layers.RNN by mergian in https://github.com/keras-team/keras/pull/17469
* fix a small bug in tf.keras.layer.Layer.compute_output_signature by yamanoko in https://github.com/keras-team/keras/pull/17636
* Optimize mixed-precision finite check for sparse tensors. by nluehr in https://github.com/keras-team/keras/pull/17638
* Typo Lion docstring by drauh in https://github.com/keras-team/keras/pull/17726
* Raise ValueError if reducing axis dimension is 0 by old-school-kid in https://github.com/keras-team/keras/pull/16755
* Add CategoricalFocalCrossentropy to Losses API by Frightera in https://github.com/keras-team/keras/pull/17651
* Unifying interpolation selection by jpodivin in https://github.com/keras-team/keras/pull/17742
* Add a missing space by sudoLife in https://github.com/keras-team/keras/pull/17744
* [keras/initializers/initializers_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17785
* [keras/layers/convolutional/conv3d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17797
* [keras/engine/training.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17780
* [keras/feature_column/dense_features.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17783
* [keras/datasets/imdb.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17771
* [keras/backend.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17769
* [keras/engine/base_layer_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17774
* [keras/layers/activation/leaky_relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17786
* [keras/engine/training_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17781
* [keras/layers/activation/relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17787
* [keras/layers/convolutional/conv2d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17795
* [keras/layers/convolutional/conv3d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17796
* [keras/layers/activation/softmax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17788
* [keras/layers/convolutional/depthwise_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17799
* [keras/layers/convolutional/separable_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17800
* [keras/layers/locally_connected/locally_connected2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17803
* [keras/layers/locally_connected/locally_connected1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17802
* Fix performance issue with sample weights in model.fit() by nershman in https://github.com/keras-team/keras/pull/17357
* [keras/datasets/reuters.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17772
* [keras/applications/mobilenet.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17763
* [keras/applications/inception_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17762
* [keras/engine/input_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17779
* [keras/engine/data_adapter.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17777
* [keras/applications/imagenet_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17760
* [keras/layers/attention/additive_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17789
* [keras/engine/base_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17773
* [keras/layers/kernelized.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17801
* [keras/engine/functional.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17778
* [keras/layers/attention/multi_head_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17791
* Minor improvements and code refactoring in backend.py by Frightera in https://github.com/keras-team/keras/pull/17746
* Update indentation level - layers/attention by Frightera in https://github.com/keras-team/keras/pull/17945
* Update indentation level - layers/activation by Frightera in https://github.com/keras-team/keras/pull/17943
* [keras/layers/preprocessing/image_preprocessing_test.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17820
* [keras/layers/preprocessing/text_vectorization.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17825
* [keras/optimizers/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17864
* [keras/optimizers/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17861
* [keras/optimizers/adamax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17862
* [keras/optimizers/legacy/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17867
* [keras/optimizers/legacy/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17868
* [keras/utils/dataset_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17895
* [keras/utils/feature_space.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17896
* [keras/optimizers/nadam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17875
* [keras/saving/serialization_lib.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17889
* [keras/metrics/base_metric.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17850
* Update indentation level - utils/image_dataset by Frightera in https://github.com/keras-team/keras/pull/18005
* [keras/optimizers/schedules] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17976
* [keras/layers/reshaping] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17969
* [keras/optimizers/legacy] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17975
* [keras/layers/rnn] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17970
* [keras/layers/convolutional/depthwise_conv1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17798
* [keras/applications/mobilenet_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17764
* [keras/layers/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17967
* [keras/datasets] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17955
* [keras/layers/activation] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17961
* Increase the version number for keras 2.13 by qlzh727 in https://github.com/keras-team/keras/pull/18081
* Cherrypick the release script fix for RC. by qlzh727 in https://github.com/keras-team/keras/pull/18082
* Cherrypick Sequential serialization bug fix for r2.13 by nkovela1 in https://github.com/keras-team/keras/pull/18258

New Contributors
* basjacobs93 made their first contribution in https://github.com/keras-team/keras/pull/17396
* tsdeng made their first contribution in https://github.com/keras-team/keras/pull/17432
* Neeshamraghav012 made their first contribution in https://github.com/keras-team/keras/pull/17540
* joesho112358 made their first contribution in https://github.com/keras-team/keras/pull/17545
* jerabaul29 made their first contribution in https://github.com/keras-team/keras/pull/17501
* jschueller made their first contribution in https://github.com/keras-team/keras/pull/17463
* edknv made their first contribution in https://github.com/keras-team/keras/pull/17568
* andreped made their first contribution in https://github.com/keras-team/keras/pull/17547
* dsr-lab made their first contribution in https://github.com/keras-team/keras/pull/17571
* RocketDelivery made their first contribution in https://github.com/keras-team/keras/pull/17498
* egurnick made their first contribution in https://github.com/keras-team/keras/pull/17595
* hxy9243 made their first contribution in https://github.com/keras-team/keras/pull/17635
* yamanoko made their first contribution in https://github.com/keras-team/keras/pull/17636
* nluehr made their first contribution in https://github.com/keras-team/keras/pull/17638
* jpodivin made their first contribution in https://github.com/keras-team/keras/pull/17742
* sudoLife made their first contribution in https://github.com/keras-team/keras/pull/17744
* nershman made their first contribution in https://github.com/keras-team/keras/pull/17357
* nkovela1 made their first contribution in https://github.com/keras-team/keras/pull/18258

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.12.0...v2.13.1

2.13.1rc1

What's Changed
* Cherrypick Sequential serialization bug fix for r2.13 by nkovela1 in https://github.com/keras-team/keras/pull/18258

New Contributors
* nkovela1 made their first contribution in https://github.com/keras-team/keras/pull/18258

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.13.1-rc0...v2.13.1-rc1

2.13.1rc0

What's Changed
* Fix timeseries_dataset_from_array counts when sequence_stride > 1 by basjacobs93 in https://github.com/keras-team/keras/pull/17396
* Fix doc for MultiHeadAttention's output_shape arg by tsdeng in https://github.com/keras-team/keras/pull/17432
* Added a link to the TextVectorization API Reference Page. by Neeshamraghav012 in https://github.com/keras-team/keras/pull/17540
* Fix ConvNeXt classifier activation bug by Frightera in https://github.com/keras-team/keras/pull/17544
* Activations clean up by joesho112358 in https://github.com/keras-team/keras/pull/17545
* Perform all ops in apply_gradient in a given tf.name_scope. by foxik in https://github.com/keras-team/keras/pull/17550
* Bugfix/normalization invert by jerabaul29 in https://github.com/keras-team/keras/pull/17501
* OptimizerV2: Allow deepcopy by jschueller in https://github.com/keras-team/keras/pull/17463
* keras.models.clone_model creates different weight names for RNN layers by mergian in https://github.com/keras-team/keras/pull/17465
* Fix spelling error in Initializer warning by edknv in https://github.com/keras-team/keras/pull/17568
* LayerScale fix to support pretrained ConvNeXt models with mixed precision by andreped in https://github.com/keras-team/keras/pull/17547
* Softmax fix in Mixed Precision by dsr-lab in https://github.com/keras-team/keras/pull/17571
* Less restrictive ROCm+GRU/LSTM fallback logic by ekuznetsov139 in https://github.com/keras-team/keras/pull/17587
* Update security section. by sachinprasadhs in https://github.com/keras-team/keras/pull/17522
* Fix serialization error with EfficientNet by RocketDelivery in https://github.com/keras-team/keras/pull/17498
* grammar corrections by egurnick in https://github.com/keras-team/keras/pull/17595
* Update documentation to keras reuters dataset by hxy9243 in https://github.com/keras-team/keras/pull/17635
* Add Lion optimizer by drauh in https://github.com/keras-team/keras/pull/17605
* Correct the docstring of Head func in convnext.py by Frightera in https://github.com/keras-team/keras/pull/17667
* keras.layers.Bidirectional is missing argument "states", which is defined for keras.layers.RNN by mergian in https://github.com/keras-team/keras/pull/17469
* fix a small bug in tf.keras.layer.Layer.compute_output_signature by yamanoko in https://github.com/keras-team/keras/pull/17636
* Optimize mixed-precision finite check for sparse tensors. by nluehr in https://github.com/keras-team/keras/pull/17638
* Typo Lion docstring by drauh in https://github.com/keras-team/keras/pull/17726
* Raise ValueError if reducing axis dimension is 0 by old-school-kid in https://github.com/keras-team/keras/pull/16755
* Add CategoricalFocalCrossentropy to Losses API by Frightera in https://github.com/keras-team/keras/pull/17651
* Unifying interpolation selection by jpodivin in https://github.com/keras-team/keras/pull/17742
* Add a missing space by sudoLife in https://github.com/keras-team/keras/pull/17744
* [keras/initializers/initializers_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17785
* [keras/layers/convolutional/conv3d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17797
* [keras/engine/training.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17780
* [keras/feature_column/dense_features.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17783
* [keras/datasets/imdb.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17771
* [keras/backend.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17769
* [keras/engine/base_layer_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17774
* [keras/layers/activation/leaky_relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17786
* [keras/engine/training_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17781
* [keras/layers/activation/relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17787
* [keras/layers/convolutional/conv2d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17795
* [keras/layers/convolutional/conv3d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17796
* [keras/layers/activation/softmax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17788
* [keras/layers/convolutional/depthwise_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17799
* [keras/layers/convolutional/separable_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17800
* [keras/layers/locally_connected/locally_connected2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17803
* [keras/layers/locally_connected/locally_connected1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17802
* Fix performance issue with sample weights in model.fit() by nershman in https://github.com/keras-team/keras/pull/17357
* [keras/datasets/reuters.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17772
* [keras/applications/mobilenet.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17763
* [keras/applications/inception_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17762
* [keras/engine/input_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17779
* [keras/engine/data_adapter.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17777
* [keras/applications/imagenet_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17760
* [keras/layers/attention/additive_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17789
* [keras/engine/base_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17773
* [keras/layers/kernelized.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17801
* [keras/engine/functional.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17778
* [keras/layers/attention/multi_head_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17791
* Minor improvements and code refactoring in backend.py by Frightera in https://github.com/keras-team/keras/pull/17746
* Update indentation level - layers/attention by Frightera in https://github.com/keras-team/keras/pull/17945
* Update indentation level - layers/activation by Frightera in https://github.com/keras-team/keras/pull/17943
* [keras/layers/preprocessing/image_preprocessing_test.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17820
* [keras/layers/preprocessing/text_vectorization.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17825
* [keras/optimizers/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17864
* [keras/optimizers/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17861
* [keras/optimizers/adamax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17862
* [keras/optimizers/legacy/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17867
* [keras/optimizers/legacy/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17868
* [keras/utils/dataset_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17895
* [keras/utils/feature_space.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17896
* [keras/optimizers/nadam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17875
* [keras/saving/serialization_lib.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17889
* [keras/metrics/base_metric.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17850
* Update indentation level - utils/image_dataset by Frightera in https://github.com/keras-team/keras/pull/18005
* [keras/optimizers/schedules] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17976
* [keras/layers/reshaping] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17969
* [keras/optimizers/legacy] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17975
* [keras/layers/rnn] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17970
* [keras/layers/convolutional/depthwise_conv1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17798
* [keras/applications/mobilenet_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17764
* [keras/layers/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17967
* [keras/datasets] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17955
* [keras/layers/activation] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17961
* Increase the version number for keras 2.13 by qlzh727 in https://github.com/keras-team/keras/pull/18081
* Cherrypick the release script fix for RC. by qlzh727 in https://github.com/keras-team/keras/pull/18082

New Contributors
* basjacobs93 made their first contribution in https://github.com/keras-team/keras/pull/17396
* tsdeng made their first contribution in https://github.com/keras-team/keras/pull/17432
* Neeshamraghav012 made their first contribution in https://github.com/keras-team/keras/pull/17540
* Frightera made their first contribution in https://github.com/keras-team/keras/pull/17544
* joesho112358 made their first contribution in https://github.com/keras-team/keras/pull/17545
* jerabaul29 made their first contribution in https://github.com/keras-team/keras/pull/17501
* jschueller made their first contribution in https://github.com/keras-team/keras/pull/17463
* edknv made their first contribution in https://github.com/keras-team/keras/pull/17568
* andreped made their first contribution in https://github.com/keras-team/keras/pull/17547
* dsr-lab made their first contribution in https://github.com/keras-team/keras/pull/17571
* RocketDelivery made their first contribution in https://github.com/keras-team/keras/pull/17498
* egurnick made their first contribution in https://github.com/keras-team/keras/pull/17595
* hxy9243 made their first contribution in https://github.com/keras-team/keras/pull/17635
* yamanoko made their first contribution in https://github.com/keras-team/keras/pull/17636
* nluehr made their first contribution in https://github.com/keras-team/keras/pull/17638
* jpodivin made their first contribution in https://github.com/keras-team/keras/pull/17742
* sudoLife made their first contribution in https://github.com/keras-team/keras/pull/17744
* nershman made their first contribution in https://github.com/keras-team/keras/pull/17357

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.12.0...v2.13.1-rc0

2.12.0

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.12.0 for more details.

What's Changed
* Updated Function _create_seed() in keras.backend by sushreebarsa in https://github.com/keras-team/keras/pull/17150
* Fixed typo in keras/keras/preprocessing/text.py by KarahanS in https://github.com/keras-team/keras/pull/17159
* Changed .format to f-string for better readability by AdityaPunetha in https://github.com/keras-team/keras/pull/17170
* Use the fallback method for GRU and LSTM on ROCm if padded I/O is needed by ekuznetsov139 in https://github.com/keras-team/keras/pull/17111
* Updated broken link by sushreebarsa in https://github.com/keras-team/keras/pull/17196
* Remove unused `amsgrad` argument in SGD by lgeiger in https://github.com/keras-team/keras/pull/17197
* Delegate `finalize_variable_values` in `LossScaleOptimizerV3` by lgeiger in https://github.com/keras-team/keras/pull/17225
* Update broken link by chunduriv in https://github.com/keras-team/keras/pull/17224
* Fix `use_causal_mask=True` with `RaggedTensor` bug by haifeng-jin in https://github.com/keras-team/keras/pull/17231
* Restore update_freq functionality by myaaaaaaaaa in https://github.com/keras-team/keras/pull/17142
* support to compat python 3.11 by hongxu-jia in https://github.com/keras-team/keras/pull/17239
* Update base_layer_v1.py by kbuyukakyuz in https://github.com/keras-team/keras/pull/17246
* Added identity layer by AdityaKane2001 in https://github.com/keras-team/keras/pull/17291
* Adds show_trainable option to plot_model() by mfidabel in https://github.com/keras-team/keras/pull/17145
* Update deprecated tf.contrib by sachinprasadhs in https://github.com/keras-team/keras/pull/17344
* Update depthwise_conv2d.py by gowthamkpr in https://github.com/keras-team/keras/pull/17341
* Tzm/optional verbosity by Mirandatz in https://github.com/keras-team/keras/pull/17346
* Fixed EfficientNetV2's MBConvBlock output phase. by sebastian-sz in https://github.com/keras-team/keras/pull/17364
* Update README.md to fix wrong links by NourEldin-Osama in https://github.com/keras-team/keras/pull/17374
* Warning if categorical crossentropy is used for 2 labels by old-school-kid in https://github.com/keras-team/keras/pull/17330
* Improved the CONTRIBUTING.md file by izam-mohammed in https://github.com/keras-team/keras/pull/17428
* Updated Docs string of doc_utils.py with new apis by mohantym in https://github.com/keras-team/keras/pull/17441
* Update MHA docstrings by haifeng-jin in https://github.com/keras-team/keras/pull/17461
* Update docstrings in text_dataset by haifeng-jin in https://github.com/keras-team/keras/pull/17462
* Bugfix: Pass show_layer_activations to expand_nested calls by alkatar21 in https://github.com/keras-team/keras/pull/17415
* Fix index_directory directory structure ignoring when passing labels explicitly by wwossname in https://github.com/keras-team/keras/pull/17403
* Add `to_ordinal` feature for ordinal regression/classification by awsaf49 in https://github.com/keras-team/keras/pull/17419
* Use 4 spaces indent for Dense layer docstrings by haifeng-jin in https://github.com/keras-team/keras/pull/17472
* keras.layers.Bidirectional constructor ignores trainable argument, causing models with trainable=False layers to incorrectly be cloned  by mergian in https://github.com/keras-team/keras/pull/17467
* Fix api_docs for `to_ordinal` by awsaf49 in https://github.com/keras-team/keras/pull/17485
* Less restrictive fallback logic by jayfurmanek in https://github.com/keras-team/keras/pull/17591

New Contributors
* KarahanS made their first contribution in https://github.com/keras-team/keras/pull/17159
* AdityaPunetha made their first contribution in https://github.com/keras-team/keras/pull/17170
* hongxu-jia made their first contribution in https://github.com/keras-team/keras/pull/17239
* kbuyukakyuz made their first contribution in https://github.com/keras-team/keras/pull/17246
* gowthamkpr made their first contribution in https://github.com/keras-team/keras/pull/17341
* Mirandatz made their first contribution in https://github.com/keras-team/keras/pull/17346
* NourEldin-Osama made their first contribution in https://github.com/keras-team/keras/pull/17374
* izam-mohammed made their first contribution in https://github.com/keras-team/keras/pull/17428
* alkatar21 made their first contribution in https://github.com/keras-team/keras/pull/17415
* wwossname made their first contribution in https://github.com/keras-team/keras/pull/17403
* awsaf49 made their first contribution in https://github.com/keras-team/keras/pull/17419
* jayfurmanek made their first contribution in https://github.com/keras-team/keras/pull/17591

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.11.0...v2.12.0

2.12.0rc1

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.12.0-rc0 for more details.

What's Changed
* Updated Function _create_seed() in keras.backend by sushreebarsa in https://github.com/keras-team/keras/pull/17150
* Fixed typo in keras/keras/preprocessing/text.py by KarahanS in https://github.com/keras-team/keras/pull/17159
* Changed .format to f-string for better readability by AdityaPunetha in https://github.com/keras-team/keras/pull/17170
* Use the fallback method for GRU and LSTM on ROCm if padded I/O is needed by ekuznetsov139 in https://github.com/keras-team/keras/pull/17111
* Updated broken link by sushreebarsa in https://github.com/keras-team/keras/pull/17196
* Remove unused `amsgrad` argument in SGD by lgeiger in https://github.com/keras-team/keras/pull/17197
* Delegate `finalize_variable_values` in `LossScaleOptimizerV3` by lgeiger in https://github.com/keras-team/keras/pull/17225
* Update broken link by chunduriv in https://github.com/keras-team/keras/pull/17224
* Fix `use_causal_mask=True` with `RaggedTensor` bug by haifeng-jin in https://github.com/keras-team/keras/pull/17231
* Restore update_freq functionality by myaaaaaaaaa in https://git