Building a Docker Container to Train Deep Fake Autoencoders

Sergio Virahonda

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5 Apr 2021CPOL6 min read

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In the next article, we talked about Google AI Platform and how to train your models there with some help from Docker containers.

Here I’ll deep dive into creating our Docker container for the training of our deep fake models and submitting the job onto Google AI Platform.

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

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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.

Building a Docker Container to Train Deep Fake Autoencoders

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