keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- `plot_model` `rankdir="LR"` does not show U-shape plot for a UNet
- Add TF support for mixed optional inputs (None/tensor) from generator in model.fit/evaluate/predict
- Usages of Keras Augmentaiton Layers
- feat: Add a predict_proba method on SKLearnClassifier
- keras.ops.print: `tf.print`; `jax.debug.print`; …
- Keras on Mac (M4) is giving inconsistent results compared to running on NVIDIA GPUs
- Outdated code
- `sparse_categorical_crossentropy` ignores feature channel (and axis parameter) when checking tensor dimensions [torch backend])
- Use JAX's AbstractMesh in distribution lib
- Unable to see any speedup from multi-GPU training using JAX backend for LSTM / GRU
- Docs
- Python not yet supported