Analytics India: 10 Free Resources To Learn GAN In 2020

Analytics India: 10 Free Resources To Learn GAN In 2020. “Generative Adversarial Networks or GAN, one of the interesting advents of the decade, has been used to create arts, fake images, and swapping faces in videos, among others. GANs are the subclass of deep generative models which aim to learn a target distribution in an unsupervised manner. The resources we listed below will help a beginner to kick-start learning and understanding how this model works. In this article, we list down 10 free resources to learn GAN in 2020.” These are informational, not tools.

Boing Boing: AI generates old-fashioned zoological illustrations of beetles

Boing Boing: AI generates old-fashioned zoological illustrations of beetles. “These beetles do not exist: Confusing Coleopterists is an AI trained on illustrations from zoological textbooks. The extreme formality of this art genre, and its placement within the public domain, makes it uniquely apt to the medium of generative adversarial networks: ‘Results were interesting and mesmerising.'”

Motherboard: This Website Texts You AI-Generated Foot Pics

Motherboard: This Website Texts You AI-Generated Foot Pics. “A generative adversarial network (GAN) machine learning system generates the feet on demand. GANs are a kind of computer program that learns how to create images by studying inputs—human feet in this case. There’s multiple sites generating fake human faces by studying millions of pictures of real human faces. That means thisfootdoesnotexist trained itself by staring at real human feet pictures.”

MIT News: Visualizing an AI model’s blind spots

MIT News: Visualizing an AI model’s blind spots . “Anyone who has spent time on social media has probably noticed that GANs, or generative adversarial networks, have become remarkably good at drawing faces. They can predict what you’ll look like when you’re old and what you’d look like as a celebrity. But ask a GAN to draw scenes from the larger world and things get weird.”

Interesting Engineering: A Database of 100,000 AI Generated Faces Is Changing the Way We Think about Stock Photos

Interesting Engineering: A Database of 100,000 AI Generated Faces Is Changing the Way We Think about Stock Photos. “Artificial intelligence can now give you a quality stock photo of a model… that does not exist. That’s right, AI can now generate imaginary faces for your next project. Dubbed Generated Photos, the collection of faces was created by Konstantin Zhabinskiy and his team.”

BBC: ‘Dangerous’ AI offers to write fake news

BBC: ‘Dangerous’ AI offers to write fake news. “The text generator, built by research firm OpenAI, was originally considered ‘too dangerous’ to make public because of the potential for abuse. But now a new, more powerful version of the system – that could be used to create fake news or abusive spam on social media – has been released.”