| 标题 | 简介 |
| --- | --- |
| [向“善”的对抗学习：深度学习的盲点](http://blog.kjamistan.com/adversarial-learning-for-good-my-talk-at-34c3-on-deep-learning-blindspots/?from=hackcv&hmsr=hackcv.com&utm_medium=hackcv.com&utm_source=hackcv.com) | |
| [回顾2017：进展、问题和预测](https://lukeoakdenrayner.wordpress.com/2017/12/27/2017-in-review-progress-problems-and-predictions/?from=hackcv&hmsr=hackcv.com&utm_medium=hackcv.com&utm_source=hackcv.com) | |
| [GAN真的模拟了数据的实际分布，还是它们仅仅足够聪明可以欺骗我们](https://towardsdatascience.com/do-gans-really-model-the-true-data-distribution-or-are-they-just-cleverly-fooling-us-d08df69f25eb?from=hackcv&hmsr=hackcv.com&utm_medium=hackcv.com&utm_source=hackcv.com) | |
