Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 2 of 2 for segmentation (0.09 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.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
    - Viewed (0)
  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)
    Registered: Fri Nov 01 09:05:11 UTC 2024
    - Last Modified: Wed Jan 05 05:42:32 UTC 2022
    - 489.7K bytes
    - Viewed (0)
Back to top