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[P] Wine synthesis using VAE [P]

Reddit r/MachineLearning1d4 min read

I have created a VAE model using PyTorch on White Wine dataset. Basically, the main goal is to discover a brand-new white wine recipe. It puts all the wines into a latent space, finds the best part where higher bands are located, and then it makes 100 steps with a step size of 0.5, multiplying by 0.96 with every step till it reaches the highest possible score. The regression model then evaluates the newly generated wine recipe, after first passing the latent coordinates through a decoder, and normalizing them. I get a score in range of 7.30-7.58. https://preview.redd.it/bylmwhu92iph1.png?width

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