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Bump keras from 2.13.1 to 3.9.0 (#971)
Bumps [keras](https://github.com/keras-team/keras) from 2.13.1 to 3.9.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/keras-team/keras/releases">keras's
releases</a>.</em></p>
<blockquote>
<h2>Keras 3.9.0</h2>
<h2>New features</h2>
<ul>
<li>Add new Keras rematerialization API: <code>keras.RematScope</code>
and <code>keras.remat</code>. It can be used to turn on
rematerizaliation for certain layers in fine-grained manner, e.g. only
for layers larger than a certain size, or for a specific set of layers,
or only for activations.</li>
<li>Increase op coverage for OpenVINO backend.</li>
<li>New operations:
<ul>
<li><code>keras.ops.rot90</code></li>
<li><code>keras.ops.rearrange</code> (Einops-style)</li>
<li><code>keras.ops.signbit</code></li>
<li><code>keras.ops.polar</code></li>
<li><code>keras.ops.image.perspective_transform</code></li>
<li><code>keras.ops.image.gaussian_blur</code></li>
</ul>
</li>
<li>New layers:
<ul>
<li><code>keras.layers.RMSNormalization</code></li>
<li><code>keras.layers.AugMix</code></li>
<li><code>keras.layers.CutMix</code></li>
<li><code>keras.layers.RandomInvert</code></li>
<li><code>keras.layers.RandomErasing</code></li>
<li><code>keras.layers.RandomGaussianBlur</code></li>
<li><code>keras.layers.RandomPerspective</code></li>
</ul>
</li>
<li>Minor additions:
<ul>
<li>Add support for <code>dtype</code> argument to <code>JaxLayer</code>
and <code>FlaxLayer</code> layers</li>
<li>Add boolean input support to <code>BinaryAccuracy</code> metric</li>
<li>Add <code>antialias</code> argument to
<code>keras.layers.Resizing</code> layer.</li>
</ul>
</li>
<li>Security fix: disallow object pickling in saved <code>npz</code>
model files (numpy format). Thanks to <a
href="https://github.com/zpbrent">Peng Zhou</a> for reporting the
vulnerability.</li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/harshaljanjani"><code>@harshaljanjani</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20745">keras-team/keras#20745</a></li>
<li><a
href="https://github.com/doncarlos999"><code>@doncarlos999</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20641">keras-team/keras#20641</a></li>
<li><a
href="https://github.com/sonali-kumari1"><code>@sonali-kumari1</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20775">keras-team/keras#20775</a></li>
<li><a href="https://github.com/jurca"><code>@jurca</code></a> made
their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20810">keras-team/keras#20810</a></li>
<li><a href="https://github.com/zskendall"><code>@zskendall</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20805">keras-team/keras#20805</a></li>
<li><a href="https://github.com/apehex"><code>@apehex</code></a> made
their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20803">keras-team/keras#20803</a></li>
<li><a
href="https://github.com/nikolasavic3"><code>@nikolasavic3</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20896">keras-team/keras#20896</a></li>
<li><a href="https://github.com/ibraaaa"><code>@ibraaaa</code></a> made
their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20926">keras-team/keras#20926</a></li>
<li><a href="https://github.com/AsVoider"><code>@AsVoider</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20921">keras-team/keras#20921</a></li>
<li><a
href="https://github.com/abheesht17"><code>@abheesht17</code></a> made
their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20932">keras-team/keras#20932</a></li>
<li><a
href="https://github.com/Mohamed-Ashraf273"><code>@Mohamed-Ashraf273</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20934">keras-team/keras#20934</a></li>
<li><a href="https://github.com/kuanxian1"><code>@kuanxian1</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20951">keras-team/keras#20951</a></li>
<li><a
href="https://github.com/praveenhosdrug123"><code>@praveenhosdrug123</code></a>
made their first contribution in <a
href="https://redirect.github.com/keras-team/keras/pull/20916">keras-team/keras#20916</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/keras-team/keras/compare/v3.8.0...v3.9.0">https://github.com/keras-team/keras/compare/v3.8.0...v3.9.0</a></p>
<h2>Keras 3.8.0</h2>
<h2>New: OpenVINO backend</h2>
<p>OpenVINO is now available as an infererence-only Keras backend. You
can start using it by setting the <code>backend</code> field to
<code>"openvino"</code> in your <code>keras.json</code> config
file.</p>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/keras-team/keras/commit/eb1f844472e1018d4db3ca6a9b0b9eab6abcedfd"><code>eb1f844</code></a>
Fix <code>Discretization</code> serialization when <code>num_bins</code>
is used. (<a
href="https://redirect.github.com/keras-team/keras/issues/20971">#20971</a>)</li>
<li><a
href="https://github.com/keras-team/keras/commit/19b14183474a065c7d8e15064371281cb26076e9"><code>19b1418</code></a>
Enable cuDNN RNNs when dropout is set and <code>training=True</code> (<a
href="https://redirect.github.com/keras-team/keras/issues/20983">#20983</a>)</li>
<li><a
href="https://github.com/keras-team/keras/commit/465a3d2247f6f4deaa702989688de9caeae5c585"><code>465a3d2</code></a>
Update version number</li>
<li><a
href="https://github.com/keras-team/keras/commit/2688bfc818f435647ae68c4838d873e8592d3078"><code>2688bfc</code></a>
Fix docstring</li>
<li><a
href="https://github.com/keras-team/keras/commit/ff427e5e40bf9a956cfcbdb64a34d8ec376579c9"><code>ff427e5</code></a>
[Keras Ops and Layer] Add keras.ops.rms_norm() and
keras.layers.RMSNormalizat...</li>
<li><a
href="https://github.com/keras-team/keras/commit/f7115c2bf126b579d4681f0a0bc36c04d65a7db6"><code>f7115c2</code></a>
Fix PyTorch stateful RNN/LSTM gradient computation error resolves <a
href="https://redirect.github.com/keras-team/keras/issues/20875">#20875</a>
(<a
href="https://redirect.github.com/keras-team/keras/issues/20">#20</a>...</li>
<li><a
href="https://github.com/keras-team/keras/commit/7a7bca6f9530d8eab2625a5ed0e2e3cad224424a"><code>7a7bca6</code></a>
[OpenVINO backend] Support numpy.append (<a
href="https://redirect.github.com/keras-team/keras/issues/20951">#20951</a>)</li>
<li><a
href="https://github.com/keras-team/keras/commit/c356cae26e36ecd726dc1d5d41282dccdadf5f65"><code>c356cae</code></a>
Bump the github-actions group with 3 updates (<a
href="https://redirect.github.com/keras-team/keras/issues/20975">#20975</a>)</li>
<li><a
href="https://github.com/keras-team/keras/commit/0902ff4f64f8fc9f48dcefd62144e5619057674a"><code>0902ff4</code></a>
[OpenVino BackEnd]support np.count_nonzero for ov BackEnd (<a
href="https://redirect.github.com/keras-team/keras/issues/20945">#20945</a>)</li>
<li><a
href="https://github.com/keras-team/keras/commit/21c8997e3a758cfa9a8dfbf3868a59006faf895e"><code>21c8997</code></a>
Make gaussian_blur to use scipy convolve2d (<a
href="https://redirect.github.com/keras-team/keras/issues/20974">#20974</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/keras-team/keras/compare/v2.13.1...v3.9.0">compare
view</a></li>
</ul>
</details>
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