From db8d58cacdce5a5ca744054d15e8b6150b2aff6e Mon Sep 17 00:00:00 2001
From: "ben.guo" <909336740@qq.com>
Date: Fri, 3 May 2024 21:12:33 +0800
Subject: [PATCH] =?UTF-8?q?Add.=20=E5=A2=9E=E5=8A=A0=E7=9B=AE=E5=BD=95?=
 =?UTF-8?q?=E4=BA=BA=E4=BA=BA=E9=83=BD=E8=83=BD=E7=9C=8B=E6=87=82=E7=9A=84?=
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MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
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---
 README.md | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/README.md b/README.md
index 7114993..835e5bb 100644
--- a/README.md
+++ b/README.md
@@ -26,6 +26,17 @@
             <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#kmeans%E7%AE%97%E6%B3%95'>KMEANS算法</a>
             <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E8%B4%9D%E5%8F%B6%E6%96%AF%E5%88%86%E6%9E%90'>贝叶斯分析</a>
         </ul>
+		<li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/README.md'>人人都能看懂的Transformer</a> 
+	  <ul>
+               <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%B8%80%E7%AB%A0%E2%80%94%E2%80%94Transformer%E7%BD%91%E7%BB%9C%E6%9E%B6%E6%9E%84.md'>第一章——Transformer网络架构</a></li>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%BA%8C%E7%AB%A0%E2%80%94%E2%80%94%E6%96%87%E5%AD%97%E5%90%91%E9%87%8F%E5%8C%96.md'>第二章——文字向量化</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%B8%89%E7%AB%A0%E2%80%94%E2%80%94%E4%BD%8D%E7%BD%AE%E7%BC%96%E7%A0%81.md'>第三章——位置编码</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%9B%9B%E7%AB%A0%E2%80%94%E2%80%94%E5%A4%9A%E5%A4%B4%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6%E2%80%94%E2%80%94QK%E7%9F%A9%E9%98%B5%E7%9B%B8%E4%B9%98.md'>第四章——多头注意力机制——QK矩阵相乘</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%BA%94%E7%AB%A0%E2%80%94%E2%80%94%E5%A4%9A%E5%A4%B4%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6%E2%80%94%E2%80%94%E5%85%A8%E6%B5%81%E7%A8%8B.md'>第五章——多头注意力机制——全流程</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%85%AD%E7%AB%A0%E2%80%94%E2%80%94%E6%95%B0%E5%80%BC%E7%BC%A9%E6%94%BE.md'>第六章——数值缩放</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%B8%83%E7%AB%A0%E2%80%94%E2%80%94%E5%89%8D%E9%A6%88%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.md'>第七章——前馈神经网络</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%85%AB%E7%AB%A0%E2%80%94%E2%80%94%E6%9C%80%E5%90%8E%E7%9A%84%E8%BE%93%E5%87%BA.md'>第八章——最后的输出</a>
+      </ul>
     <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88'>机器学习MachineLearning</a> 
     <ul>
         <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E4%BF%A1%E7%94%A8%E5%8D%A1%E6%AC%BA%E8%AF%88%E6%A3%80%E6%B5%8B'>信用卡欺诈检测（含数据集）</a>
@@ -63,6 +74,7 @@
 
 
 
+
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