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TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Curious about Variational Autoencoders (VAEs)? Start Here.

An accessible, illustrated introduction to a complex topic

Mar 24, 2021

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In recent years, GANs (generative adversarial networks) have been all the rage in the field of deep-learning generative models, leaving VAEs in relative obscurity. But there’s much to gain from a solid footing in variational autoencoders, which tackle similar challenges but use a different architectural foundation. If you were looking for an engaging, accessible way to learn more about VAEs,

and Baptiste Rocca’s introduction hits the spot. They define terms, walk us through the various elements that make up VAEs and how they relate to each other, and add beautiful illustrations for all the visual learners out there.

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Ben Huberman
Ben Huberman

Written by Ben Huberman

Editor in Chief, Towards Data Science. Previously: Editorial lead, Automattic & Senior Editor, Longreads. (he/him)

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