| 标题 | 简介 |
| --- | --- |
| [增加深度是否可以加速优化过程](http://www.offconvex.org/2018/03/02/acceleration-overparameterization/?from=hackcv&hmsr=hackcv.com&utm_medium=hackcv.com&utm_source=hackcv.com) | |
| [2018年最值得读的12本深度学习书](https://www.bonkersabouttech.com/ai/best-deep-learning-books/494?from=hackcv&hmsr=hackcv.com&utm_medium=hackcv.com&utm_source=hackcv.com) | |
| [伯克利实验室“最小化机器学习”算法可以从非常少的数据集上分析图像数据](http://newscenter.lbl.gov/2018/02/21/new-berkeley-lab-algorithms-create-minimalist-machine-learning-that-analyzes-images-from-very-little-information/?from=hackcv&hmsr=hackcv.com&utm_medium=hackcv.com&utm_source=hackcv.com) | |
