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Describe the feature and the current behavior/state.
Need of flexible loss function GeneralLoss which can change behavior based on params alpha and scale. Please take a look at this paper.
Relevant information
Are you willing to contribute it (yes/no): yes
Are you willing to maintain it going forward? (yes/no): yes
Is there a relevant academic paper? (if so, where): yes
Is there already an implementation in another framework? (if so, where): google research
Was it part of tf.contrib? (if so, where): no
Which API type would this fall under (layer, metric, optimizer, etc.)
loss
The text was updated successfully, but these errors were encountered:
TensorFlow Addons is transitioning to a minimal maintenance and release mode. New features will not be added to this repository. For more information, please see our public messaging on this decision: TensorFlow Addons Wind Down
Please consider sending feature requests / contributions to other repositories in the TF community with a similar charters to TFA: Keras Keras-CV Keras-NLP
Describe the feature and the current behavior/state.
Need of flexible loss function GeneralLoss which can change behavior based on params
alpha
andscale
. Please take a look at this paper.Relevant information
Which API type would this fall under (layer, metric, optimizer, etc.)
loss
The text was updated successfully, but these errors were encountered: