Please use this identifier to cite or link to this item:
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 | |
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135720.pdf | Memòria | 862.62 kB | Adobe PDF | View/Open |
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