Data augmentation and deep classification with generative adversarial networks
Machine learning has seen many advances in recent years. One type of model that has evolved a lot recently is Generative Adversarial Networks (GANs). These models have the ability to create fake data that resembles the data on which they were trained on. The interest for these models has been ever g...
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| Format: | masterThesis |
| Language: | eng |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/10773/32283 |
| Country: | Portugal |
| Oai: | oai:ria.ua.pt:10773/32283 |