keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Torch backend: `binary_crossentropy` gives a finite loss for NaN predictions on MPS
- Fix docstring-stripping regex corrupting literal `\n` sequences in generated legacy API files
- Fix NaN propagation in Torch binary crossentropy
- Fixing `binary_crossentropy` with an integer target stopping the Python process on MPS
- fix: validate sparse_categorical_crossentropy class indices off CPU for Torch backend
- Add an experimental keras.ops.grad and port the gradient tests to it
- Lambda model save/load silently changes numeric constants on Windows
- tree.traverse can't be captured by torch.compile on the torch backend
- torch pooling does two NHWC<->NCHW copies when one would do
- Fix: remove unsupported NPZ weight storage and consolidate ZIP validation
- Docs
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