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Normalizing Constants: Turning Neural Network Scores into Probability Distributions

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

A neural network can assign a real-valued score to an input, but that score is not automatically a probability density. It may be negative, and even after making it positive, the resulting density still needs to integrate to 1 over the entire input space. That second requirement is where the Normal…

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  1. 2026-09-15 08:39 · DEV Community — Machine Learning
    Normalizing Constants: Turning Neural Network Scores into Probability Distributions

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