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foodGAN

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An implementation of one personal project to gain experience with Generative Adversarial Network models and in particular on Wasserstein GAN with gradient penalty. The final application's purpose is to generate synthetic images given a food category.

Creat2023-07-13T02:34:53
Update2025-03-12T22:23:36
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