# metadata.dc.description[].value
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: Santi Seguí Mesquida

# metadata.dc.description.abstract[].value
[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.

# metadata.dc.rights[].value
cc-by-nc-nd (c) Ricardo Domínguez Mira, 2019

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Matemàtiques