keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Ensure categorical and sparse categorical crossentropy return output dtype
- Fix `binary_crossentropy` result dtype for NumPy and JAX backends (#23735)
- Fix symbolic std dtype for complex inputs
- Split the int4 mode into a package by geometry family
- Add backend-agnostic implementation for rad2deg
- keras.ops.std reports complex dtype for symbolic complex inputs
- Eliminates TorchDynamo graph breaks during torch backend model compilation.
- Adaptive pooling ops infer incorrect 5D shape and crash on int/list output_size
- [TF Backend] keras.ops.adaptive_max_pool and adaptive_average_pool raise AttributeError: tuple object has no attribute as_list on NumPy inputs with channels_last
- keras.ops.slogdet returns incorrect symbolic shape () instead of x.shape[:-2] for sign on batched matrices
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