Update table 2.12.8

yejinlei · Jul 12, 2019 · 17976fc · 17976fc
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diff --git a/...h version/ch02_MachineLearningFoundation/Chapter 2_TheBasisOfMachineLearning.md b/...h version/ch02_MachineLearningFoundation/Chapter 2_TheBasisOfMachineLearning.md
@@ -719,7 +719,7 @@ $$
 The table below briefly compares the difference between stochastic gradient descent (SGD), batch gradient descent (BGD), small batch gradient descent (mini-batch GD), and online GD:
 
 || BGD | SGD | Mini-batch GD | Online GD |
-|:----:|:---:|:-------------:|:---------:|
+|:--:|:----:|:---:|:-------------:|:---------:|
 | training set | fixed | fixed | fixed | real-time update |
 |Single iteration sample number | Whole training set | Single sample | Subset of training set | According to specific algorithm |
 | Algorithm Complexity | High | Low | General | Low |

diff --git a/ch02_机器学习基础/第二章_机器学习基础.md b/ch02_机器学习基础/第二章_机器学习基础.md
@@ -795,7 +795,7 @@ $$
 	下表简单对比随机梯度下降（SGD）、批量梯度下降（BGD）、小批量梯度下降（Mini-batch GD）、和Online GD的区别：
 
 ||BGD|SGD|Mini-batch GD|Online GD|
-|:--:|:-:|:-----------:|:-------:|
+|:--:|:--:|:-:|:-----------:|:-------:|
 |训练集|固定|固定|固定|实时更新|
 |单次迭代样本数|整个训练集|单个样本|训练集的子集|根据具体算法定|
 |算法复杂度|高|低|一般|低|