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UserWarning: "categorical_crossentropy received from_logits=True, but the output argument was produced by a Softmax activation and thus does not represent logits. Was this intended?
#10
Open
ankhanh-vni opened this issue
Mar 15, 2023
· 2 comments
Should we modify the from_logits parameters in dvc_workshop/models/classifier.py to False, since we are passing a softmax activation function at the output layer after all?
The text was updated successfully, but these errors were encountered:
Should we modify the from_logits parameters in dvc_workshop/models/classifier.py to False, since we are passing a softmax activation function at the output layer after all?
I encountered this issue while using ipynb, which caused a direct interruption of my kernel. I don't know how you solved this problem?
Should we modify the from_logits parameters in dvc_workshop/models/classifier.py to False, since we are passing a softmax activation function at the output layer after all?
The text was updated successfully, but these errors were encountered: