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Results 1 - 2 of 2 for segmentation (0.17 sec)

  2. github.com/tensorflow/tensorflow

    RELEASE.md 

    *   Added support for `class_weight` for 3+ dimensional targets (e.g. image segmentation masks) in `Model.fit`.
*   Added a new loss, `keras.losses.CategoricalFocalCrossentropy`.
*   Remove the `tf.keras.dtensor.experimental.layout_map_scope()`. You can user the `tf.keras.dtensor.experimental.LayoutMap.scope()` instead.
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    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
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  3. github.com/kubernetes/kubernetes

    CHANGELOG/CHANGELOG-1.19.md 

    - Reverted the previous fix for portforward cleanup because it introduced a kubelet regression which can lead into segmentation faults. ([#102588](https://github.com/kubernetes/kubernetes/pull/102588), [@saschagrunert](https://github.com/saschagrunert)) [SIG API Machinery and Node]

### Other (Cleanup or Flake)
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    - Registered: Fri May 03 09:05:14 GMT 2024
    - Last Modified: Wed Jan 05 05:42:32 GMT 2022
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