From 3135e83f6472f38fd9c9dbfaf7fa68b4ef4f8855 Mon Sep 17 00:00:00 2001
From: skindhu <skindhu@tencent.com>
Date: Sun, 27 Oct 2024 11:27:59 +0800
Subject: [PATCH] add third chapter

---
 Book/3.实现注意力机制.md | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/Book/3.实现注意力机制.md b/Book/3.实现注意力机制.md
index 8d44d0e..1a971fd 100644
--- a/Book/3.实现注意力机制.md
+++ b/Book/3.实现注意力机制.md
@@ -284,11 +284,15 @@ Sum: tensor(1.)
 >
 > 1. **Softmax 的原理**
 >
->    Softmax 函数的公式如下：  $\operatorname{softmax}\left(z_{i}\right)=\frac{e^{z_{i}}}{\sum_{j} e^{z_{j}}}$
+>    Softmax 函数的公式如下：g
 >
->    
+>    \usepackage{amsmath}
 >
->    g
+>    [
+>
+>    \operatorname{softmax}\left(z_{i}\right)=\frac{e^{z_{i}}}{\sum_{j} e^{z_{j}}}
+>
+>    ]
 >
 >    This is an inline formula: $E=mc^2$.
 >