Big Data Digest article, see the end of the article for reposting requirements Author | Brandon Amos Translation | Molly, Han Xiaoyang Table of Contents ■ Introduction ■ Step 1: Understanding Images as Samples from a Probability Distribution How do you fill in missing information? But how do you start with statistics? These are all … Read more
Hello everyone, today we will discuss Generative Adversarial Networks, and how to create anime avatars. In this lesson, we will design and implement a Convolutional Generative Adversarial Network (DCGAN): Then we will use this network to generate various anime avatars. 1. What Are Generative Adversarial Networks Generative Adversarial Networks, abbreviated as GAN. GAN is an … Read more
New Intelligence Report Source: towardsdatascience Author: Connor Shorten Editor: Xiao Qin [New Intelligence Guide]Generative Adversarial Networks (GANs) are one of the most fascinating and popular applications in deep learning. This article lists 10 papers on GANs that will provide you with a great introduction to GANs and help you understand the foundations of state-of-the-art techniques. … Read more