What Is A Generative Adversarial Network? A generative adversarial network (GAN) is a type of machine learning model that uses two competing neural networks to generate new data that resembles the ...

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 ...

This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. Moments of epiphany tend to come in the unlikeliest of circumstances. For Ian ...

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can ...

In late February 2019 the AI world enjoyed a viral moment when a machine learning framework was used to create a website called “this person does not exist”. Created using generative adversarial ...

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 ...