Tag Model Evaluation

Generative Adversarial Networks (GANs) have taken the world of machine learning by storm, proving their worth in generating realistic images, videos, and even text. However, despite their success, evaluating the performance of different GAN models quantitatively has been a challenging… Continue Reading →