BeatGAN: Developing a Generative Adversarial Network for Rhythm Generation
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Klos, T.B. | |
dc.contributor.author | Hoogerheijde, T.K.A. | |
dc.date.accessioned | 2021-09-02T18:00:29Z | |
dc.date.available | 2021-09-02T18:00:29Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/1250 | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 1296902 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | BeatGAN: Developing a Generative Adversarial Network for Rhythm Generation | |
dc.type.content | Bachelor Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Kunstmatige Intelligentie |