But the original form of the cross-entropy loss is exactly the negative log-likelihood of softmax regression:
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The denominator (the log term in the first equation) seems to be weighted because of the logarithm, I think I missed this.
I get why this works, but still I’m not sure if it gives the correctly normalized probabilities for each class.