?url_ver=Z39.88-2004&rft_id=10.5204%2Fthesis.eprints.200191&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Artistic+approaches+to+machine+learning&rft.creator=Flaherty%2C+Drew&rft.subject=Machine+Learning&rft.subject=Visual+Art&rft.subject=Artificial+Intelligence&rft.subject=Neural+Networks&rft.subject=Creativity&rft.subject=Generative+Adversarial+Networks&rft.description=This+research+is+about+how+Artificial+Intelligence+and+Machine+Learning+may+impact+creative+practice.+The+thesis+looks+at+various+implementations+and+models+related+to+the+subject+from+different+cultural+and+technical+viewpoints.+The+project+also+provides+experimental+creative+outcomes+from+my+personal+practice+along+with+a+qualitative+study+into+attitudes+and+perspectives+from+other+creative+practitioners.&rft.publisher=Queensland+University+of+Technology&rft.date=2020&rft.type=Thesis&rft.format=application%2Fpdf&rft.relation=https%3A%2F%2Feprints.qut.edu.au%2F200191%2F1%2FDrew_Flaherty_Thesis.pdf&rft.rights=free_to_read&rft.rights=http%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby-nc-nd%2F4.0%2F&rft.relation=doi%3A10.5204%2Fthesis.eprints.200191&rft.relation=Flaherty%2C+Drew+(2020)+Artistic+approaches+to+machine+learning.+Masters+by+Research+thesis%2C+Queensland+University+of+Technology.&rft.id_number=https%3A%2F%2Feprints.qut.edu.au%2F200191%2F&rft.identifier=Creative+Industries+Faculty%3B+School+of+Design