keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- keras.ops.print: `tf.print`; `jax.debug.print`; …
- Keras on Mac (M4) is giving inconsistent results compared to running on NVIDIA GPUs
- Outdated code
- Adding functional CompositeLayer
- `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
- Output discrepancy between keras.predict and tf_saved_model
- BlackDuck reports arbitrary file write vulnerability in "get_file" function
- JAX Backend: Convolutional Layer Kernel Deleted During Training with RematScope
- Docs
- Python not yet supported