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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 ...

The field of artificial intelligence (AI) is fast-moving, and new breakthroughs are regularly made. One of the more recent terms rising to prominence is Generative Adversarial Network (GAN) – but what ...

Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can be used to generate synthetic data for machine learning scenarios, such as generating ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Believe it or not, all these faces are fake. They have been synthesized by Nvidia’s new AI ...

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 ...