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loss tracker for multiple model outputs #18993
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@james77777778 - Just wanted to confirm I captured the issue correctly.
Keras 2 Output:
Keras 3 Output:
Unlike Keras2, Keras 3 doesn't output the individual losses and will need to be added via metrics. |
This is documented as one of the differences in Keras 2 vs Keras 3 compatibility issues doc #18467 -
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So, the way forward is the explicitly add them to metrics unless @fchollet suggests otherwise -
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Hi @sampathweb Yes, we can explicitly add them using For example, IoU loss and classification loss in an object detection model must be implemented both in |
Currently, only the total loss has been tracked and displayed.
Can we have more detailed information for each loss?
I have a workaround to recompute the loss using
metrics
, but it seems very inefficient.The text was updated successfully, but these errors were encountered: