Generation 800
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Artificial Sempervivum grown from two 256-dimension z-space neural networks
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The deep neural networks are trained for 12,300 generations on the paintings of Le Besque. Using image processing neural networks inspired by biological methods, it produces pictures from a 256-dimensional latent-space to try to match the underlying probability distribution across all of the original paintings.