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Attention designers, Artificial Intelligence can now create realistic virtual textures

A team of researchers have discovered a new tool that can assist designers and animators to create more realistic virtual textures. The tool makes...

What you need to know about Generative Adversarial Networks

We have come to you with another guest post by Indra den Bakker, an experienced deep learning engineer and a mentor on Udacity for...

2017 Generative Adversarial Networks (GANs) Research Milestones

Generative Adversarial Models, introduced by Ian Goodfellow, are the next big revolution in the field of deep learning. Why? Because of their ability to...

Behind the scenes: Deep learning evolution and core concepts

This article is an excerpt from a book by Kuntal Ganguly titled Learning Generative Adversarial Networks. The book will help you build and analyze...

Generative Adversarial Networks: Google open sources TensorFlow-GAN (TFGAN)

If you have played the game Prince of Persia, you know what it is like defending yourself from the ‘shadow’ which tries to kill...

5 reasons to learn Generative Adversarial Networks (GANs) in 2018

Generative Adversarial Networks (GANs) are a prominent branch of Machine learning research today. As deep neural networks require a lot of data to train...

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