keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- result_type resolves a Python float to float16 when floatx is bfloat16
- Migrate internal `ops.*` calls to `backend.ops.*`
- Clamp JAX/NumPy CTC loss so confident alignments stay nonnegative
- JAX/NumPy CTC loss can be slightly negative for confident alignments
- With Torch backend `sparse_categorical_crossentropy` silently accepts out-of-range class indices on MPS
- Torch backend: `binary_crossentropy` gives a finite loss for NaN predictions on MPS
- fix: validate sparse_categorical_crossentropy class indices off CPU for Torch backend
- Fix: share HDF5 validation for cumulative file editor weight checks
- Enforce safe mode in TFSMLayer construction and functional model reconstruction
- [RFC] New Pull Request Policy 🕵️
- Docs
- Python not yet supported