Semiconductor Engineering

Generative Adversarial Network (GAN)

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 ...
Forbes

AI, Simulation, And The Generative Adversarial Network

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...
Visual Studio Magazine

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 be used to generate synthetic data for machine learning scenarios, such as generating ...
VentureBeat

Generative adversarial networks: What GANs are and how they've evolved

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 ...
Forbes

Artificial Intelligence Explained: What Are Generative Adversarial Networks (GANs)?

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 ...
Visual Studio Magazine

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 be used to generate synthetic data for machine learning scenarios, such as generating ...
TechRadar

What is a Generative Adversarial Network?

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 ...