keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Compute a stable variance in torch and NumPy `moments`
- Unpin torch in requirements-torch-cuda.txt
- R2Score loses precision on targets far from zero and can return a score above 1
- Reuse student forward pass in Distiller to prevent duplicate execution
- `Distiller` runs the student two times in each training step with named feature layers
- Retry the pip install in GPU and TPU CI on transient download failures
- Fix distributed overflow detection in LossScaleOptimizer
- LossScaleOptimizer misses overflow on non first replicas under MirroredStrategy and corrupts weights
- pad_sequences raises TypeError inside tf.function with dynamic-shape sequence tensors
- `keras.ops.unique` with a tensor `size` only works for int32 on the TensorFlow backend
- Docs
- Python not yet supported