....A1:0.1类别（以前为：a，b）A2:连续。A3：连续。A4:1,2,3类别（以前为：p，g，gg）A5...
Attribute Information: There are 6 numerical and 8 categorical attributes. The labels have been changed for the convenience of the statistical algorithms. For example, attribute 4 originally had 3 labels p,g,gg and these have been changed to labels 1,2,3. A1: 0,1 CATEGORICAL (formerly: a,b) A2: continuous. A3: continuous. A4: 1,2,3 CATEGORICAL (2021-01-08, Jupyter Notebook, 56KB, 下载0次)
Dive into Deep Learning中文第二版公开课目前已经开课,详情可去[http: courses.d2l.ai zh-v2 查询。本项目用于配合此次公开课,使用libtorch和C++语言练习公开课上的例子。](http: courses.d2l.ai zh-v2 %E6%9F%A5%E8%AF%A2%E3%80%82%E6%9C%AC%E9%A1%B9%E7%9B%AE%E7%94%A8%E4%BA%8E%E9%85%8D%E5%90%88%E6%AD%A4%E6%AC%A1%E5%85%AC%E5%BC%80%E8%AF%BE%EF%BC%8C%E4%BD%BF%E7%94%A8libtorch%E5%92%8CC++%E8%AF%AD%E8%A8%80%E7%BB%83%E4%B9%A0%E5%85%AC%E5%BC%80%E8%AF%BE%E4%B8%8A%E7%9A%84%E4%BE%8B%E5%AD%90%E3%80%82)
Dive into Deep Learning Chinese version 2 open class has started, For details, please go to [http: courses. d2l. ai zh-v2 to query. This project is used to practice the examples in this open class with libtorch and C++language.] (http: courses. d2l. ai zh-v2% E6% 9F% A5% E8% AF% A2% E3% 80% 82% E6% 9C% AC% E9% A1% B9% E7% 9B% AE% E7% 94% A8% E4% BA% 8E% E9% 85% 8D% E5% 90% 88% E6% AD% A4% E6% AC% A1% E5% 85% AC% E5% BC% 80% E8% AF% BE% EF% BC% 8C% E4% BD% BF% E7% 94% A8libtor ch% E5% 92% 8CC++% E8% AF% AD% E8% A8% 80% E7% BB% 83% E4% B9% A0% E5% 85% AC% E5% BC% 80% E8% AF% BE% E4% B8% 8A% E7% 9A% 84% E4% BE% 8B% E5% AD% 90% E3% 80% 82) (2021-05-25, Jupyter Notebook, 42515KB, 下载0次)