An Introduction to Generative Adversarial Networks
| dc.contributor.author | Paget, Bryan | |
| dc.contributor.supervisor | Kaimanovich, Vadim | |
| dc.contributor.supervisor | Fraser, Maia | |
| dc.date.accessioned | 2019-09-11T15:40:43Z | |
| dc.date.available | 2019-09-11T15:40:43Z | |
| dc.date.issued | 2019-09-11 | en_US |
| dc.description.abstract | This thesis is a survey of the mathematical theory of Generative Adversarial Networks (GANs). The relevant theories discussed are game theory, information theory and optimal transport theory. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10393/39603 | |
| dc.identifier.uri | http://dx.doi.org/10.20381/ruor-23846 | |
| dc.language.iso | en | en_US |
| dc.publisher | Université d'Ottawa / University of Ottawa | en_US |
| dc.subject | game theory | en_US |
| dc.subject | information theory | en_US |
| dc.subject | optimal transport theory | en_US |
| dc.subject | Generative Adversarial Networks | en_US |
| dc.title | An Introduction to Generative Adversarial Networks | en_US |
| dc.type | Thesis | en_US |
| thesis.degree.discipline | Sciences / Science | en_US |
| thesis.degree.level | Masters | en_US |
| thesis.degree.name | MSc | en_US |
| uottawa.department | Mathématiques et statistique / Mathematics and Statistics | en_US |
