## June 22, 2020

# Probabilistic modeling using normalizing flows pt.2

This is a follow-up post where we will see how to apply a normalizing flow model to learn the density of observed data. If you are not familiar with these models I recommend checking out the first part which explains how normalizing flows work and the math behind them. The promise of normalizing flows is that we can learn probability densities over our observations without having to model our entire domain by hand.
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