yu-gi-oh
Generate Yu-Gi-Oh! card images using Generative Adversarial Network
Generative Adversarial Networks are a deep learning architecture for generating new samples that could have come from an existing distributions of existing samples. GAN are comprised of both generator and discriminator models. The generator is responsible for generating new samples from the latent space, and the discriminator is responsible for classifying whether samples are real or fake. First, I had to gather the Yu-Gi-Oh! The API was used to download all Yugioh cards (10.000 cards).