add week5

dafish-ai · May 27, 2019 · 2e5a6b9 · 2e5a6b9
2 parents f7eb16d + 0618b44
commit 2e5a6b9
Show file tree

Hide file tree

Showing 82 changed files with 178,812 additions and 358 deletions.
diff --git a/ReadME.md b/ReadME.md
@@ -3,11 +3,14 @@
 
 ## 课程资料
 1. [课程主页](http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML17_2.html)  
-2. [课程笔记](https://blog.csdn.net/dukuku5038/article/details/82253966)  
+2. [课程笔记](https://blog.csdn.net/dukuku5038/article/details/82253966) 
+3. [课件百度云下载](https://pan.baidu.com/s/1UKYLGte5SJ1EWxxAaUcKOw)  
 3. [课程视频](https://www.bilibili.com/video/av10590361?from=search&seid=8516959386096686045)  
-4. [环境配置Anaconda](https://github.com/learning511/Stanford-Machine-Learning-camp/tree/master)
-5. [作业介绍]()
-6. 比赛环境推荐使用Linux或者Mac系统，以下环境搭建方法皆适用:  
+4. [环境配置Anaconda](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/assets/Anaconda完全入门指南.md)  
+5. [Jupyter NoteBook配置](http://baijiahao.baidu.com/s?id=1601883438842526311&wfr=spider&for=pc)  
+6. [Anaconda加速下载镜像](https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/?C=M&O=D)  
+7. [作业](https://github.com/dafish-ai/NTU-Machine-learning/tree/master/李宏毅机器学习-作业)
+8. 比赛环境推荐使用Linux或者Mac系统，以下环境搭建方法皆适用:  
     [Docker环境配置](https://github.com/ufoym/deepo)  
     [本地环境配置](https://github.com/learning511/cs224n-learning-camp/blob/master/environment.md)
 
@@ -23,9 +26,10 @@
 8. [深度学习经典论文](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap.git)
 9. [机器学习代码修行100天](https://github.com/Avik-Jain/100-Days-Of-ML-Code)  
 10. [吴恩达机器学习新书：machine learning yearning](https://github.com/AcceptedDoge/machine-learning-yearning-cn)  
-11. [自上而下的学习路线: 软件工程师的机器学习)](https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README-zh-CN.md)  
+11. [自上而下的学习路线: 软件工程师的机器学习](https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README-zh-CN.md)  
 
 ## 1. 前言
+![enter image description here](https://images.gitbook.cn/f76f1200-3d45-11e9-b80b-13b78e2a7517)Â
 ### 中文世界中最好的机器学习课程！
 
 李宏毅老师的机器学习和深度学习系列课程，是中文世界中最好！课程中有深入浅出的讲解和幽默生动的比喻（还有口袋妖怪哦）。关键一切都是中文的！（除了课件^_^）
@@ -93,66 +97,77 @@
 **学习组队**  
 
 **第1节： 引言(Introduction)**  
-**课件：**[lecture1](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/1-introduction.pdf)  
+**课件：**[lecture1](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%AE%8F%E6%AF%85%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/1-introduction.pdf)  
 **笔记：**[lecture1-note1](https://blog.csdn.net/dukuku5038/article/details/82347021)  
 **视频：**  
 	1.1 欢迎:[Welcome to Machine Learning](https://www.bilibili.com/video/av10590361/?p=1)  
 	1.2 为什么要学习机器学习？:[Why learning ？](https://www.bilibili.com/video/av10590361/?p=2)  
 **作业 Week1：**
+<<<<<<< HEAD
 制定自己的学习计划，开通自己的学习博客，注册自己的github:[如操作手册](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BD%9C%E4%B8%9A/Week1-CSDN%E5%8D%9A%E5%AE%A2%E4%B8%8EGithub%E5%88%9B%E5%BB%BA.md)
+=======
+制定自己的学习计划，开通自己的学习博客，注册自己的github:[如操作手册](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%AE%8F%E6%AF%85%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BD%9C%E4%B8%9A/week1/Week1-CSDN%E5%8D%9A%E5%AE%A2%E4%B8%8EGithub%E5%88%9B%E5%BB%BA.md)
+>>>>>>> 0618b4423ab811d038d1aa68fff2fa0f28664ff0
 
 ---
 
 ### week 2
 **第2节： 回归问题**  
-**课件：**[lecture2](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/2-Regression.pdf)  
+**课件：**[lecture2](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%AE%8F%E6%AF%85%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/2-Regression.pdf)  
 **笔记：**[lecture2-note2](https://blog.csdn.net/dukuku5038/article/details/82503111)  
 **视频：**  
 	2.1 回归:[Regression](https://www.bilibili.com/video/av10590361/?p=3)  
 	2.2 回归 Demo:[Demo](https://www.bilibili.com/video/av10590361/?p=4)  
 
 **第3节： 错误分析**  
-**课件：**[lecture3](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/3-Bias%20and%20Variance%20(v2).pdf)  
+**课件：**[lecture3](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%AE%8F%E6%AF%85%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/3-Bias%20and%20Variance%20(v2).pdf)  
 **笔记：**[lecture3-note3](https://blog.csdn.net/dukuku5038/article/details/82682855)  
 **视频：**  
 	2.3 错误从哪里来[Error Handle](https://www.bilibili.com/video/av10590361/?p=5)  
 
 **作业 Week2：**:  
+<<<<<<< HEAD
   纯python实现[线性回归](https://github.com/learning511/Stanford-Machine-Learning-camp/blob/master/Assignments/machine-learning-ex1/ex1.pdf/)  	
+=======
+  纯python实现[CEO的的利润预测](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%AE%8F%E6%AF%85%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BD%9C%E4%B8%9A/week2/%E4%BD%9C%E4%B8%9A1.md)  	
+>>>>>>> 0618b4423ab811d038d1aa68fff2fa0f28664ff0
 
 ---------------------------------------------------------
 
 ### week 3   
 **第4节： 梯度下降(Gradient Descent )**  
-**课件：**[lecture4](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/4-Gradient%20Descent%20(v2).pdf)  
+**课件：**[lecture4](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/李宏毅机器学习-课件/4-Gradient%20Descent%20(v2).pdf)  
 **笔记：**[lecture4-note4](https://blog.csdn.net/dukuku5038/article/details/83608873)  
 **视频：**  
 	3.1梯度下降:[Gradient Descent](https://www.bilibili.com/video/av10590361/?p=6)  
 	3.2梯度下降Demo1:[Gradient Descent Demo1](https://www.bilibili.com/video/av10590361/?p=7)  
 	3.3梯度下降Demo2:[Gradient Descent Demo2](https://www.bilibili.com/video/av10590361/?p=8)  
 
 **作业 Week3：**:  
+<<<<<<< HEAD
   [PM2.5回归预测](https://ntumlta.github.io/2017fall-ml-hw1/)  
+=======
+  [PM2.5回归预测](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%AE%8F%E6%AF%85%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BD%9C%E4%B8%9A/week3/Week3-PM2.5%E9%A2%84%E6%B5%8B.md)  
+>>>>>>> 0618b4423ab811d038d1aa68fff2fa0f28664ff0
 
 ---------------------------------------------------------
 
 ### Week 4  
 **第5节：分类：概率生成模型（Classification：Probabilistic Generative Model）**  
-**课件：**[lecture5](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/5-Classification%20(v3).pdf)  
+**课件：**[lecture5](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/李宏毅机器学习-课件/5-Classification%20(v3).pdf)  
 **笔记：**[lecture5-note5](https://blog.csdn.net/dukuku5038/article/details/82698867)  
 **视频：**  
 	4.1分类：概率生成模型:[Classification：Probabilistic Generative Model](https://www.bilibili.com/video/av10590361/?p=10)  
 
 **第6节：分类：逻辑回归（Logistic Regression）**  
-**课件：**[lecture6](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/6-Logistic%20Regression%20(v3).pdf)  
+**课件：**[lecture6](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/李宏毅机器学习-课件/6-Logistic%20Regression%20(v3).pdf)  
 **笔记：**[lecture6-note6](https://blog.csdn.net/dukuku5038/article/details/82585523)  
 **视频：**  
 	4.2分类：逻辑回归:[Logistic Regression](https://www.bilibili.com/video/av10590361/?p=11)   
 
 **作业 Week4：**:
 
-【原文】：收入预测[Winner or Loser](https://ntumlta.github.io/2017fall-ml-hw2)  
-【中文】：收入预测[Winner or Loser](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BD%9C%E4%B8%9A/Week4%20-%20%E6%94%B6%E5%85%A5%E9%A2%84%E6%B5%8B%20-%20Winner%20or%20Loser.md)
+收入预测[Winner or Loser](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/李宏毅机器学习-作业/week4/README.md)
 
 ---------------------------------------------------------
 
@@ -162,9 +177,9 @@
 **笔记：**[lecture7-note7](https://blog.csdn.net/dukuku5038/article/details/83217542)  
 **视频：**                                  
 	5.1 深度度学习简介:[Introduction to Deep learning](https://www.bilibili.com/video/av10590361/?p=13)  
-	5.2 反向传播算法：[Back Prppagation](https://www.bilibili.com/video/av10590361/?p=14))  
-
-**第8节：“Hello world” of Deep learning**
+	5.2 反向传播算法：[Back Prppagation](https://www.bilibili.com/video/av10590361/?p=14)
+	
+**第8节：“Hello world” of Deep learning**  
 **课件：**[lecture8](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E8%AF%BE%E4%BB%B6/9-keras.pdf)  
 **笔记：**[lecture8-note8](https://blog.csdn.net/dukuku5038/article/details/83721330)  
 **视频：**                                  
@@ -180,7 +195,7 @@
 	5.4  Keras Demo2：[Demo2](https://www.bilibili.com/video/av10590361/?p=19)  
 
 **作业 Week5：**:  
-（1）深度神经网络[Keras实现手写数字识别](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BD%9C%E4%B8%9A/Week5%20-%20%20Keras%E5%AE%9E%E7%8E%B0%E6%89%8B%E5%86%99%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB.md)
+深度神经网络[Keras实现手写数字识别](https://github.com/dafish-ai/NTU-Machine-learning/blob/master/%E6%9D%8E%E5%BC%98%E6%AF%85-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BD%9C%E4%B8%9A/Week5%20-%20%20Keras%E5%AE%9E%E7%8E%B0%E6%89%8B%E5%86%99%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB.md)
 
 ---------------------------------------------------------
 ### Week 6  
@@ -245,7 +260,11 @@ Twitter文本情绪分类[Text Sentiment](https://ntumlta.github.io/2017fall-ml-
 
 ### 课程大作业：Kaggle 泰坦尼克号  
 
+<<<<<<< HEAD
 ![enter image description here](https://images.gitbook.cn/07517c70-3b3f-11e9-8e49-1583b35bc6e7)  
+=======
+![enter image description here](https://images.gitbook.cn/77443310-3e1e-11e9-a7f2-db689d3df630)
+>>>>>>> 0618b4423ab811d038d1aa68fff2fa0f28664ff0
 
 ## 联系我们：<br>
 官网：[点击进入](http://www.dayufish.com/) <br>

diff --git a/Titanic/.DS_Store b/Titanic/.DS_Store