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http://hdl.handle.net/2445/135720| Title: | TripletGAN: model for image generation |
| Author: | Domínguez Mira, Ricardo |
| Director/Tutor: | Seguí Mesquida, Santi |
| Keywords: | Aprenentatge automàtic Treballs de fi de grau Resolució de problemes Sistemes d'imatges Algorismes computacionals Machine learning Bachelor's theses Problem solving Imaging systems Computer algorithms |
| Issue Date: | 18-Jan-2019 |
| Abstract: | [en] Generative Adversarial Networks (GANs) have been widely used for image generation. From the conception of this model in 2014 until now, there has been a increasingly interest in this model, which have lead it to be one of the most popular Deep Learning models nowadays. The popularity of this model has entailed a significant list of variations of it. This work aims are to study the GAN model, and specifically, one of its variations: TripletGAN. |
| Note: | Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: Santi Seguí Mesquida |
| URI: | http://hdl.handle.net/2445/135720 |
| Appears in Collections: | Treballs Finals de Grau (TFG) - Matemàtiques |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 135720.pdf | Memòria | 862.62 kB | Adobe PDF | View/Open |
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