Normalizing flow

HOW IT IS BUILT The methods behind it Bayesian inference Statistical mechanics Boltzmann distribution Variational inference WHAT IT CAN DO Its core abilities — — — — WHERE IT IS USED — · — — · — NF learns · reasons · acts
How it's built
What it can do
Where it's used

A normalizing flow is a machine learning technique that transforms complex, difficult-to-understand probability distributions into simpler ones through a series of reversible mathematical operations. Think of it as a sophisticated way to reshape probability distributions—like morphing a complicated, bumpy landscap…

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