Generative Artificial Intelligence - Siraj Raval

What this episode covers

Nvidia published a recent paper that detailed a system able to progressively grow the architecture of a generative adversarial network during the training phase. This network was able to produce images nearing photorealism at a faster pace than previous models, pretty exciting stuff! I'll explain how it works both in theory and code in this video. Code for this video: https://github.com/llSourcell/Progressive_GANs/tree/master Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://www.youtube.com/watch?v=yz6dNf7X7SA https://www.youtube.com/watch?v=Sw9r8CL98N0 https://www.youtube.com/watch?v=HN9NRhm9waY https://www.youtube.com/watch?v=deyOX6Mt_As https://www.youtube.com/watch?v=5WoItGTWV54 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693

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Frequently Asked Questions

How long is this episode of Siraj Raval?

This episode is 9 minutes long.

When was this Siraj Raval episode published?

This episode was published on February 23, 2018.

What is this episode about?

Nvidia published a recent paper that detailed a system able to progressively grow the architecture of a generative adversarial network during the training phase. This network was able to produce images nearing photorealism at a faster pace than...

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