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`; …
- clone_model(recursive=True) supports one level of nesting only
- 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- Outdated code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])
- How Do I Track a List of Objects for Export?
- Memory leak/crash on 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