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How do we interpret the outputs of a neural network trained on classification?
This post shows how neural networks trained for classification approximate the Bayesian posterior, explaining the theoretical basis and providing empirical examples.
This post shows how neural networks trained for classification approximate the Bayesian posterior, explaining the theoretical basis and providing empirical examples.