I'm assuming cross_entropy_logits() is meant to be used on the raw logits of the model and sigmoid_cross_entropy_logits() is the version that's meant to be used on logits that have been normalized to [0, 1] with a sigmoid or softmax layer?
Or is that sigmoid_cross_entropy_logits() is meant to be used for binary classification on the raw logits of the model and cross_entropy_logits() is meant for multi-class classification?
Hi,
I'm assuming
cross_entropy_logits()
is meant to be used on the raw logits of the model andsigmoid_cross_entropy_logits()
is the version that's meant to be used on logits that have been normalized to [0, 1] with a sigmoid or softmax layer?Or is that
sigmoid_cross_entropy_logits()
is meant to be used for binary classification on the raw logits of the model andcross_entropy_logits()
is meant for multi-class classification?