keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- RNN not compatible with XLA (TF backend)
- Reimplement torch conv ops to go direct to cudnn
- TODO: add docstrings on all `keras_core.operations` functions
- Operators and some `Merge` (e.g. `Add`, `Maximum`) layers do not propagate masks
- Sparse Tensors
- Slightly friendlier import warning.
- Probability Distributions in Keras-Core
- MeanIoU Metric does not work with JAX backend
- Pretrained NASNetMobile incorrect inference with torch backend
- Dense layer not built when created in init - leads to undefined shape and unable to be used in call
- Docs
- Python not yet supported