“Softmax cross-entropy loss” is literally just using Softmax on the last layer of a classifier, then using cross-entropy loss on the result. There’s nothing more to it than that.
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“Softmax cross-entropy loss” is literally just using Softmax on the last layer of a classifier, then using cross-entropy loss on the result. There’s nothing more to it than that.