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Adventures with Deep Generator Networks
Jason Yosinski · Anh Nguyen · Jeff Clune · Douglas K Bemis

Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8

This demonstration shows a Deep Generator Network (DGN) running live and with its output images used as input for (and optimized for) a few different types of networks: AlexNet / Inception-v4, a Caption convnet, and a Visual Relationship model. Users can investigate properties of these networks by interactively generating their own images using combinations of a webcam to provide input images and keyboard to type captions and relationships, as described below.

Author Information

Jason Yosinski (ML Collective)

Dr. Jason Yosinski is a machine learning researcher, was a founding member of Uber AI Labs, and is scientific adviser to Recursion Pharmaceuticals and several other companies. His work focuses on building more capable and more understandable AI. As scientists and engineers build increasingly powerful AI systems, the abilities of these systems increase faster than does our understanding of them, motivating much of his work on AI Neuroscience: an emerging field of study that investigates fundamental properties and behaviors of AI systems. Dr. Yosinski completed his PhD as a NASA Space Technology Research Fellow working at the Cornell Creative Machines Lab, the University of Montreal, Caltech/NASA Jet Propulsion Laboratory, and Google DeepMind. His work on AI has been featured on NPR, Fast Company, the Economist, TEDx, XKCD, and on the BBC. Prior to his academic career, Jason cofounded two web technology companies and started a program in the Los Angeles school district that teaches students algebra via hands-on robotics. In his free time, Jason enjoys cooking, sailing, motorcycling, reading, paragliding, and sometimes pretending he's an artist.

Anh Nguyen (Auburn University)
Jeff Clune (University of Wyoming)
Douglas K Bemis (Geometric Intelligence)

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