The What, Why and How of Generative Flow Networks

A guide to building your first GFlowNet in TensorFlow 2

Compositional objects are made up of building blocks. (Photo by Ruben Hanssen on Unsplash)

Generative Flow Networks (GFlowNets) are a machine-learning technique for generating compositional objects at a frequency proportional to their associated reward.

In this article, we are going to unpack what all those words mean, outline why GFlowNets are useful, talk about how they are trained, and then we’ll dissect a TensorFlow 2 implementation.

Build your intuition …

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