Deepaesthetics: computational experience in a time of machine learning
Auteur :
Munster, Anna
Éditeur :
Duke University Press
ISBN :
9781478031543
Date de publication :
25 avr. 2025
Dimensions :
22,9 x 15,2 cm
Poids :
445 g
Format :
Trade paperback (US)
Langue :
Anglais
Pays d'origine :
USA
Drawing on process philosophy, Munster approaches computational experience through its relations and operations. She combines deep learning—the subfield of machine learning that uses neural network architectures—and aesthetics to offer a way to understand the insensible and frequently imperceptible forms of nonlinear and continuously modulating statistical function.