keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Allow EarlyStopping to be reused between multiple `fit`s.
- Fix `BaseOptimizer` to handle a mix of `tf.Variable` and `KerasVariable`
- Cannot access accuracy in results with keras 3
- Need to explicitly specify `x` and `y` instead of using a generator when the model has two inputs.
- EarlyStopping instance is not reusable
- apply_gradients AttributeError: 'ResourceVariable' object has no attribute 'overwrite_with_gradient'
- Accuracy is lost after save_weights/load_weights
- model.fit() doesn't update loss values properly with a custom loss function in Keras 3
- ModelCheckpoint loses .h5 save support, breaking retrocompatibility
- Add parameter axis to tversky loss
- Docs
- Python not yet supported