Have you ever contemplated what fine art painted by an artificial intelligence might look like? When Richard Alan Herbert saw Alec Radford & Soumith Chintala's work in deep convolutional generative adversarial networks he was inspired to stitch in a variational autoencoder and apply it to a fine art dataset. Take a look at the awesome results here: http://richard-alan-herbert.com/generating-images-of-fine-art-in-300-lines-of-code/

To see what inspired Richard, check out the incredible generative images of bedrooms and album art from Soumith & Alec's work: https://github.com/Newmu/dcgan_code

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