Tag - Adversarial Networks

CAN (Creative Adversarial Network) - Explained

GANs (Generative Adversarial Networks), a type of Deep Learning networks, have been very successful in creating non-procedural content. This work explores the possibility of machine generated creative content. By Harshvardhan Gupta, Hacker Noon. Late...

Medical Image Analysis with Deep Learning 

In this article, I start with basics of image processing, basics of medical image format Analyzing images and videos, and using them in various applications such as self driven cars, drones etc. with underlying deep learning techniques has been the n...

Dev Nag

Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) tl;dr: GANs are simpler to set up than you think In 2014, Ian Goodfellow and his colleagues at the University of Montreal published a stunning paper introducing the world to GANs, o...

The Rise of Generative Adversarial Networks

A comprehensive overview of Generative Adversarial Networks, covering its birth, different architectures including DCGAN, StyleGAN and BigGAN, as well as some real-world examples. comments By Kailash Ahirwar. Credit: https://en.wikipedia.org/wiki/Edm...