Artistic approaches to machine learning
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Drew Flaherty Thesis
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Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
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.
Impact and interest:
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| ID Code: | 200191 |
|---|---|
| Item Type: | QUT Thesis (Masters by Research) |
| Supervisor: | Donovan, Jared & Fookes, Clinton |
| Keywords: | Machine Learning, Visual Art, Artificial Intelligence, Neural Networks, Creativity, Generative Adversarial Networks |
| DOI: | 10.5204/thesis.eprints.200191 |
| Divisions: | Past > QUT Faculties & Divisions > Creative Industries Faculty Current > Schools > School of Design |
| Institution: | Queensland University of Technology |
| Deposited On: | 22 May 2020 07:04 |
| Last Modified: | 22 May 2020 07:04 |
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