From 36fe405d473f32ee03b80ff87b7f91f6d885a114 Mon Sep 17 00:00:00 2001
From: skindhu <skindhu@tencent.com>
Date: Tue, 1 Apr 2025 23:00:12 +0800
Subject: [PATCH] Add appendixD

---
 cn-Book/附录D.给训练循环添加高级技巧.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cn-Book/附录D.给训练循环添加高级技巧.md b/cn-Book/附录D.给训练循环添加高级技巧.md
index be8c030..6eb3d69 100644
--- a/cn-Book/附录D.给训练循环添加高级技巧.md
+++ b/cn-Book/附录D.给训练循环添加高级技巧.md
@@ -190,7 +190,7 @@ plt.show()
 
 用数学术语来说，对于一个由分量组成的向量 v = [v<sub>1</sub>, v<sub>2</sub>, ..., v<sub>n</sub>]，L2 范数描述为：
 
-$$\text|v|_{2}=\sqrt{v_{1}^{2}+v_{2}^{2}+\ldots+v_{n}^{2}}$$
+$$|v|\_{2}=\sqrt{v_{1}^{2}+v_{2}^{2}+\ldots+v_{n}^{2}}$$
 
 这种计算方法也适用于矩阵。例如，考虑以下梯度矩阵：