keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Implement gammaincc function in keras.ops
- Division by zero NaN vulnerability in categorical_crossentropy
- model.export() / ExportArchive store every variable twice in the SavedModel — 2× artifact size and 2× live variable RAM in every consumer (incl. TF Serving)
- Fix division by zero NaN in categorical_crossentropy
- hard_sigmoid returns x / 6 for integer input on the numpy backend
- Promote integer inputs to float in hard_sigmoid and hard_silu
- Bug: keras.src.ops.normalize() produces -inf gradients for small non-zero float16 inputs for the torch backend
- Promote integer inputs to float in gelu across all backends
- 🔌 RFC - Keras Pluggable Backends
- Create PaddlePaddle backend
- Docs
- Python not yet supported