Learning to See. You Are What You See.
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Abstract/Summary/Introduction:
The work utilizes a novel method in “performing” visual, animated content — with an almost photographic visual style — using deep learning. It demonstrates both the collaborative potential of AI, as well as the inherent biases reflected and amplified in artificial neural networks, and perhaps even our own neural networks.
