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How do raw scores become probabilities?

Softmax, the last step of almost every classifier, explained with three numbers. When a neural network looks at a photo and decides "cat," it doesn't jump…

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Softmax, the last step of almost every classifier, explained with three numbers. When a neural network looks at a photo and decides "cat," it doesn't jump straight to an answer. Its last layer produces a raw score for every possible class. Those scores are useful, but they aren't probabilities yet. Softmax is the small function that turns them... Weiterlesen: How do raw scores become probabilities?

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