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@@ -18,11 +18,10 @@ The Face Frontalization model is the Generator part of a [GAN](https://proceedin
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  # Intended uses & limitations
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  The present Face Frontalization model was not intended to represent the state of the art for this machine learning task. Instead, the goals were:
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- <ol>
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- <li>to demonstrate the benefits of using a GAN for supervised machine learning tasks (whereas the original GAN is an unsupervised generative algorithm; see [this conference talk](https://www.youtube.com/watch?v=aL7rhJz8mAI) for more details);</li>
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- <li>to show how a complex generative computer vision project can be accomplished on a [Scaleway cloud RENDER-S instance](https://www.scaleway.com/en/gpu-instances/) within ~ a day.</li>
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- </ol>
 
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  # How to use
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  # Intended uses & limitations
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  The present Face Frontalization model was not intended to represent the state of the art for this machine learning task. Instead, the goals were:
 
 
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+ (a) to demonstrate the benefits of using a GAN for supervised machine learning tasks (whereas the original GAN is an unsupervised generative algorithm; see [this conference talk](https://www.youtube.com/watch?v=aL7rhJz8mAI) for more details);
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+
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+ (b) to show how a complex generative computer vision project can be accomplished on a [Scaleway cloud RENDER-S instance](https://www.scaleway.com/en/gpu-instances/) within ~ a day.
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  # How to use
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