Deepaesthetics
Computational Experience in a Time of Machine Learning
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Drawing on process philosophy, Munster approaches computational experience through its relations and operations. She combines deep learningâ the subfield of machine learning that uses neural network architecturesâ and aesthetics to offer a way to understand the insensible and frequently imperceptible forms of nonlinear and continuously modulating statistical function.
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