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original: cb_loss = F.binary_cross_entropy_with_logits(input = logits,target = labels_one_hot, weights = weights)
update: cb_loss = F.binary_cross_entropy_with_logits(input = logits,target = labels_one_hot, weight = weights)
Thanks for the resource, it worked great!!
The text was updated successfully, but these errors were encountered:
wo ! useful , it did work !
Sorry, something went wrong.
@BenDrewry @Python-Eric feel free to use this improved/fixed/battle-tested version, includes this fix ad much more: https://github.com/fcakyon/balanced-loss#improvements
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original:
cb_loss = F.binary_cross_entropy_with_logits(input = logits,target = labels_one_hot, weights = weights)
update:
cb_loss = F.binary_cross_entropy_with_logits(input = logits,target = labels_one_hot, weight = weights)
Thanks for the resource, it worked great!!
The text was updated successfully, but these errors were encountered: