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For questions related to the concept of cross-entropy in the context of artificial intelligence. For example, when the cross-entropy is used as a loss function to train a neural network.
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In logistic regression, why is the binary cross-entropy loss function convex?
I'm unable to comment on previous answers because I'm new to ai.stackexchange and don't have enough clout points. So I'm writing my comment as an answer instead.
Unless I'm missing something, I believ …