Machine Learning for Artists / ITP-NYU – Spring 2016

The following is a documentation of a new course ran by Gene Kogan on Machine Learning for Artists at ITP-NYU in spring 2016.

The full video lectures and class notes can be found here and include general introduction to neural networks, applications, wekinator, convolutional neural networks, convnet applications, recurrent neural networks and game AI + deep reinforcement learning. Over 12 hours of video with examples.

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