keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Return zero for fully masked global averages
- Implement XLASavedModelArchive with xla_saved_model (XLA Serving Engine export)
- Torch backend: ops.vdot raises for multi-dimensional inputs, ops.kron raises for non-contiguous inputs
- Compute focal crossentropy from logits when from_logits=True
- Concurrent first calls to a shared unbuilt Keras layer can fail during lazy building
- Avoid NaN in sparse_categorical_crossentropy for -inf non-target logits
- Describe what CutMix's factor argument controls
- Use /triage as the sole manual comment trigger for issue triage workflow
- Fix torch map_coordinates mirror mode for singleton axes
- `binary_focal_crossentropy` / `categorical_focal_crossentropy` with `from_logits=True`: loss saturates at -log(1e-7) and the gradient is zero for confidently wrong logits
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