Machine Learning For Artists

Eamon Abraham
Jun 14, 2016 · 7 min read
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Image from A Book from the Sky, a project by Gene Kogan and Francis Tseng which is featured in the Classes section of their book, Machine Learning for Artists.
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On left side of screen, Neural Networks chapter; right side, editing window of that chapter. (Image: Joelle Fleurantin)
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Gene Kogan (Image: Joelle Fleurantin)

Video demonstrating the work in paper Artistic Style Transfer for Videos by Manuel Ruder, Alexey Dosovitskiy and Thomas Brox

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Diagram of how convolutional neural networks create style transfer. (Image: Gene Kogan)
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Illustration from Machine Learning for Artists of two activation functions, sigmoid and ReLU. Activation functions are neural network formulas analogous to the nerve impulses of human brain cells.
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Illustration of MNIST image pixels as an array of neural network inputs. From Machine Learning For Artists.

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