Building and Training Deep Fake Autoencoders

Sergio Virahonda

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30 Mar 2021CPOL6 min read

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In this article we'll build and train our models with them.

Here I show how to build, train, and implement autoencoders for deep fake creation.

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This article is part of the series 'Video Face Transfer with Deep Fakes ◁ Prev View All Next ▷

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sergio Virahonda

United States

Sergio Virahonda grew up in Venezuela where obtained a bachelor's degree in Telecommunications Engineering. He moved abroad 4 years ago and since then has been focused on building meaningful data science career. He's currently living in Argentina writing code as a freelance developer.