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Origin: Where did they come from?

with Martin Kemka

Gain a better understanding of Generative Adversarial Networks (GANs), how they are created, how they train, and how they are able to create new media.



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GANs: Generating new worlds

30s
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What you should know

18s
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Introduction to GANs

1m 42s
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Origin: Where did they come from?

1m 16s
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How were they developed?

2m 4s
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Early examples of GANs

2m 9s
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Model architecture

2m 48s
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Training method

1m 49s
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How the different models learn

1m 27s
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Final model output

1m 34s
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Create a basic GAN

6m 24s
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Start training and compare results

3m 26s
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Where generative AI has moved to

1m 46s
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Where generative AI will move to

2m 19s