I am studying a paper named
Glow: Generative Flow with Invertible 1×1 Convolutions
when I refer to Section 2:Background: Flow-based Generative Models,They just give a Loss Function to minimizing:enter image description here
Background: Flow-based Generative Models
Lost Function
I just don't understand what the hell is the meaning in reality?Any help will be appreciate!
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