Style. Modify the name

机器学习竞赛实战_优胜解决方案/ACM SIGSPATIAL 2021 GISCUP/README.md

@@ -51,7 +51,7 @@
 
 ### 4. 模型说明
 
-- [DCN模型](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953)
+- [DCN蒸馏模型](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953)
   - ![1628669063602](assets/1628669063602.png)
 - [WDR模型](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/WD_128544)
   - ![1628669073291](assets/1628669073291.png)
@@ -81,8 +81,8 @@
 
 ### 7. 文件说明
 
-- [DCN_12953](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953)
+- [DCN蒸馏_12953](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953)
-  - DCN模型，线上分数0.12953
+  - DCN蒸馏模型（利用“未来”数据），线上分数0.12953
   - dcn_model/[dcn_model.py](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953/dcn_model/dcn_model.py)：模型代码
   - dcn_model/[main.py](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953/dcn_model/main.py)：主函数，训练和预测
   - dcn_model/[process.py](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953/dcn_model/process.py)：特征预处理

机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/1_数据预处理_建筑能源利用率预测.ipynb

@@ -3349,7 +3349,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,