Bump keras from 2.12.0 to 3.9.0 in /Sentiment Analyser #3216
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Bumps [keras](https://github.com/keras-team/keras) from 2.12.0 to 3.9.0. - [Release notes](https://github.com/keras-team/keras/releases) - [Commits](keras-team/keras@v2.12.0...v3.9.0) --- updated-dependencies: - dependency-name: keras dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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Reviewer's Guide by SourceryThis pull request updates the Keras library from version 2.12.0 to 3.9.0 by modifying the requirements.txt file. Updated class diagram for Keras layersclassDiagram
class Layer {
+Layer()
+__call__()
+trainable: bool
+name: str
}
class RMSNormalization {
+RMSNormalization()
+call()
}
class AugMix {
+AugMix()
+call()
}
class CutMix {
+CutMix()
+call()
}
class RandomInvert {
+RandomInvert()
+call()
}
class RandomErasing {
+RandomErasing()
+call()
}
class RandomGaussianBlur {
+RandomGaussianBlur()
+call()
}
class RandomPerspective {
+RandomPerspective()
+call()
}
Layer <|-- RMSNormalization : inherits
Layer <|-- AugMix : inherits
Layer <|-- CutMix : inherits
Layer <|-- RandomInvert : inherits
Layer <|-- RandomErasing : inherits
Layer <|-- RandomGaussianBlur : inherits
Layer <|-- RandomPerspective : inherits
note for Layer "Base class for all layers"
note for RMSNormalization "New layer: RMS Normalization"
note for AugMix "New layer: AugMix"
note for CutMix "New layer: CutMix"
note for RandomInvert "New layer: RandomInvert"
note for RandomErasing "New layer: RandomErasing"
note for RandomGaussianBlur "New layer: RandomGaussianBlur"
note for RandomPerspective "New layer: RandomPerspective"
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OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting If you change your mind, just re-open this PR and I'll resolve any conflicts on it. |
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Bumps keras from 2.12.0 to 3.9.0.
Release notes
Sourced from keras's releases.
... (truncated)
Commits
eb1f844FixDiscretizationserialization whennum_binsis used. (#20971)19b1418Enable cuDNN RNNs when dropout is set andtraining=True(#20983)465a3d2Update version number2688bfcFix docstringff427e5[Keras Ops and Layer] Add keras.ops.rms_norm() and keras.layers.RMSNormalizat...f7115c2Fix PyTorch stateful RNN/LSTM gradient computation error resolves #20875 (#20...7a7bca6[OpenVINO backend] Support numpy.append (#20951)c356caeBump the github-actions group with 3 updates (#20975)0902ff4[OpenVino BackEnd]support np.count_nonzero for ov BackEnd (#20945)21c8997Make gaussian_blur to use scipy convolve2d (#20974)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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