Generative Adversarial Networks 论文

2018Apress eBooks引用 425
Generative Adversarial Networks and Image Synthesis

详细信息

发表期刊/会议
Apress eBooks
发表日期
2018-01-01
发表年份
2018

关键词

Generative Adversarial Networks and Image Synthesis

摘要

For many AI projects, deep learning techniques are increasingly being used as the building blocks for innovative solutions ranging from image classification to object detection, image segmentation, image similarity, and text analytics (e.g., sentiment analysis, key phrase extraction). GANs, first introduced by Goodfellow et al. (2014), are emerging as a powerful new approach toward teaching computers how to do complex tasks through a generative process. As noted by Yann LeCun (at ), GANs are truly the "coolest idea in machine learning in the last 20 years."