Introduction
GANs: Generating new worlds
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What you should know
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1. Origin and Examples of GANs
Introduction to GANs
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Origin: Where did they come from?
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How were they developed?
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Early examples of GANs
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2. Architecture and Training Methods
Model architecture
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Training method
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How the different models learn
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Final model output
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3. Training a Model
Create a basic GAN
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Start training and compare results
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4. The Future of Generative AI
Where generative AI has moved to
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Where generative AI will move to
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Ex_Files_Intro_to_GANs.zip
(19 KB)