keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Add backend-agnostic implementation for bartlett
- Introduce `ElementwiseUnaryOperation` base class and refactor ops.
- keras._legacy.backend.binary_crossentropy (tf.keras.backend.binary_crossentropy) silently broadcasts mismatched target/output shapes, unlike other BCE APIs
- softsign, squareplus and hard_shrink return wrong values for bool input
- High-dimensional Dense forward discrepancies with identical saved inputs
- Forward and backward accumulation discrepancies in 15×15 SeparableConv2D with SELU
- Support flash attention in the TensorFlow backend
- Introduce shared base classes for unary, binary, and reduction operations.
- Support overlapping patches (strides != size) in keras.ops.image.reconstruct_patches
- fix: keep float16/bfloat16 gradients finite in normalize
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