Can Artificial Intelligence create better Art than Humans? A Friendly Introduction to Generative Adversarial Network
In this online event, we will dive into the world of Generative Adversarial Networks (GANs). A generative adversarial network is a class of Artificial intelligence frameworks designed by Ian Goodfellow and his colleagues in 2014.
During the event, we will discuss how GAN can make art the applications of GAN, If AI can create better art than humans, and What are limitations of GAN.
GANs are an exciting recent innovation in machine learning. GANs are generative models: they create new data instances that resemble the training data.
Since the invention of GANs in 2014 GANs have benefitted from tremendous research. Now are being used to explore creative domains such as art, fashion, medicine, cybersecurity, and photography.
“Generative Adversarial Networks is the most interesting idea in machine learning in last ten years ” — Yann Lecun (Facebook AI Director)
* Understand the basics of Generative Adversarial Network
* Generative Adversarial Network architecture
* use cases
* QUIZ (Book Giveaway)
A technical background is not required.
Beware this online event is a friendly introduction to Generative Adversarial Network