- 【博客】SimGANs: A Game Changer in Unsupervised Learning, Self Driving Cars, and More
Apple’s Learning from Simulated and Unsupervised Images through Adversarial Training (S+U Learning) lays down the blueprint for training state-of-the-art neural nets from only synthetic and unlabelled data. In this post we will see why this has huge potential, and apply it to an interesting problem: autonomous driving. We will refer to an implementation of SimGAN: https://github.com/wayaai/SimGAN, and to my 2nd favorite company behind waya.ai: comma.ai, throughout the post.
2.【视频】Game AI Development With OpenAI Universe | Two Minute Papers