keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Check values across input dtypes in OpTest
- Mask zero-target classes in categorical_crossentropy from logits
- Softmax/sigmoid + crossentropy with `from_logits=False`: gradient is exactly 0 for `p_true < 1e-7` on the JAX and PyTorch backends, while TensorFlow computes it exactly
- categorical_crossentropy returns NaN for -inf non-target logits on every backend
- Lower the bar for adding new backends
- Escape Rich markup in `summary()` connections and `KerasFileEditor`
- Make erf promote integer input like erfc
- Add multi-backend benchmark comparison
- Promote integer and bool inputs to float in softsign, squareplus and hard_shrink
- Don't mark loaded model as compiled when compile_from_config skips compile
- Docs
- Python not yet supported