Generative adversarial networks, or GANs, are deep learning frameworks for unsupervised learning that utilize two neural networks. The two networks are pitted against each other, with one generating ...

Perhaps you've read about AI capable of producing humanlike speech or generating images of people that are difficult to distinguish from real-life photographs. More often than not, these systems build ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles real data. Since its inception in 2014 with Ian Goodfellow’s ‘Generative ...