From 4fe62eda1927917ac9b874a4618b39e4652c4d1e Mon Sep 17 00:00:00 2001
From: Evan Wang <32366240@qq.com>
Date: Thu, 11 Apr 2019 10:49:02 +0800
Subject: [PATCH 1/3] Update LogisticRegression.md

---
 docs/source/LogisticRegression.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/LogisticRegression.md b/docs/source/LogisticRegression.md
index 8c524ea9..59cf0725 100644
--- a/docs/source/LogisticRegression.md
+++ b/docs/source/LogisticRegression.md
@@ -23,7 +23,7 @@ logistic回归通过函数S将ax+b对应到一个隐状态p，p = S(ax+b)，然
 将t换成ax+b，可以得到逻辑回归模型的参数形式：
                                           P(x;a,b) = 1 / (1 + e^(-ax+b))
 
-![image](https://github.com/SciEvan/TensorFlow.NET/tree/master/docs/source/sigmoid.png)
+![image](https://github.com/SciEvan/TensorFlow.NET/blob/master/docs/source/sigmoid.png)
 
 sigmoid函数的图像
 

From 36a12edf9ba7e535dd9e515653627bd79971561b Mon Sep 17 00:00:00 2001
From: Evan Wang <32366240@qq.com>
Date: Thu, 11 Apr 2019 10:49:53 +0800
Subject: [PATCH 2/3] Update LogisticRegression.md

---
 docs/source/LogisticRegression.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/docs/source/LogisticRegression.md b/docs/source/LogisticRegression.md
index 59cf0725..c67d9260 100644
--- a/docs/source/LogisticRegression.md
+++ b/docs/source/LogisticRegression.md
@@ -24,8 +24,7 @@ logistic回归通过函数S将ax+b对应到一个隐状态p，p = S(ax+b)，然
                                           P(x;a,b) = 1 / (1 + e^(-ax+b))
 
 ![image](https://github.com/SciEvan/TensorFlow.NET/blob/master/docs/source/sigmoid.png)
-
-sigmoid函数的图像
+                                  ###sigmoid函数的图像
 
 By the function of the function S, we can limit the output value to the interval [0, 1],
 p(x) can then be used to represent the probability p(y=1|x), the probability that y is divided into 1 group when an x occurs.

From d84c439810f0402d3e5088472bd451f05ead6093 Mon Sep 17 00:00:00 2001
From: Evan Wang <32366240@qq.com>
Date: Thu, 11 Apr 2019 10:50:23 +0800
Subject: [PATCH 3/3] Update LogisticRegression.md

---
 docs/source/LogisticRegression.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/LogisticRegression.md b/docs/source/LogisticRegression.md
index c67d9260..415233b3 100644
--- a/docs/source/LogisticRegression.md
+++ b/docs/source/LogisticRegression.md
@@ -24,7 +24,7 @@ logistic回归通过函数S将ax+b对应到一个隐状态p，p = S(ax+b)，然
                                           P(x;a,b) = 1 / (1 + e^(-ax+b))
 
 ![image](https://github.com/SciEvan/TensorFlow.NET/blob/master/docs/source/sigmoid.png)
-                                  ###sigmoid函数的图像
+                          sigmoid函数的图像
 
 By the function of the function S, we can limit the output value to the interval [0, 1],
 p(x) can then be used to represent the probability p(y=1|x), the probability that y is divided into 1 group when an x occurs.