Teaching a Computer to Paint from Life Like a Monet

A neural network-powered algorithm can take any old photo and turn it into a work of art befitting an old master. Alex J. Champandard of AI Game Dev built his art algorithm off the Deep Forger software architecture, a 19 layer neural network called VGG (short for visual geometry group.) Essentially, the VGG allows Champanard to meld qualities of two images into a third output. One of the images for his project comes from a library of classic art. When a user’s photo is put in, it finds a close compositional match and creates a new output, refining its algorithm via Twitter response. (Likes and retweets serve as a positive reinforcement mechanism.) Advertisement – Continue Reading Below “Another very interesting aspect is that machine learning can eventually capture, for example,…


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