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diff --git a/archives.rf/index.html b/archives.rf/index.html
@@ -191,11 +191,51 @@
   <h1>Archive</h1>
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-  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;23</sup>
+  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;25</sup>
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-    <h3 class="archive-month-header">August<sup class="archive-count">&nbsp;&nbsp;4</sup></h3>
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     <div class="archive-posts">
+      <div class="archive-entry">
+        <h3 class="archive-entry-title">D2L&ndash;第十章注意力机制
+        </h3>
+        <div class="archive-meta">
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+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10662&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</div>
+        <a class="entry-link" aria-label="post link to D2L--第十章注意力机制" href="https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/"></a>
+      </div>
+      <div class="archive-entry">
+        <h3 class="archive-entry-title">D2L&ndash;第十一章BERT模型
+        </h3>
+        <div class="archive-meta">
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+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;6808&nbsp;|&nbsp;14 min&nbsp;|&nbsp;Lishensuo</div>
+        <a class="entry-link" aria-label="post link to D2L--第十一章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
+      </div>
       <div class="archive-entry">
         <h3 class="archive-entry-title">D2L&ndash;第八章循环神经网络
         </h3>

diff --git a/archives/index.html b/archives/index.html
@@ -191,11 +191,51 @@
   <h1>Archive</h1>
 </header>
 <div class="archive-year">
-  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;23</sup>
+  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;25</sup>
   </h2>
   <div class="archive-month">
-    <h3 class="archive-month-header">August<sup class="archive-count">&nbsp;&nbsp;4</sup></h3>
+    <h3 class="archive-month-header">August<sup class="archive-count">&nbsp;&nbsp;6</sup></h3>
     <div class="archive-posts">
+      <div class="archive-entry">
+        <h3 class="archive-entry-title">D2L&ndash;第十章注意力机制
+        </h3>
+        <div class="archive-meta">
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+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10662&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</div>
+        <a class="entry-link" aria-label="post link to D2L--第十章注意力机制" href="https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/"></a>
+      </div>
+      <div class="archive-entry">
+        <h3 class="archive-entry-title">D2L&ndash;第十一章BERT模型
+        </h3>
+        <div class="archive-meta">
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+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;6808&nbsp;|&nbsp;14 min&nbsp;|&nbsp;Lishensuo</div>
+        <a class="entry-link" aria-label="post link to D2L--第十一章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
+      </div>
       <div class="archive-entry">
         <h3 class="archive-entry-title">D2L&ndash;第八章循环神经网络
         </h3>

diff --git a/index.json b/index.json
diff --git a/index.xml b/index.xml
@@ -6,7 +6,7 @@
     <description>Recent content on Li&#39;s Bioinfo-Blog</description>
     <generator>Hugo -- gohugo.io</generator>
     <language>zh-cn</language>
-    <lastBuildDate>Sun, 11 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/index.xml" rel="self" type="application/rss+xml" />
+    <lastBuildDate>Sat, 17 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/index.xml" rel="self" type="application/rss+xml" />
     <item>
       <title>统计学基础--统计描述指标与常见统计分布</title>
       <link>https://lishensuo.github.io/posts/basic/001%E7%BB%9F%E8%AE%A1%E5%AD%A6%E5%9F%BA%E7%A1%80--%E7%BB%9F%E8%AE%A1%E6%8F%8F%E8%BF%B0%E6%8C%87%E6%A0%87%E4%B8%8E%E5%B8%B8%E8%A7%81%E7%BB%9F%E8%AE%A1%E5%88%86%E5%B8%83/</link>
@@ -1969,6 +1969,24 @@
       <description>1. 门控循环单元(GRU) 传统的RNN在处理长序列时会遇到梯度消失或梯度爆炸的问题。为了解决这些问题，引入了门控机制的变种，如长短时记忆网络（</description>
     </item>
 
+    <item>
+      <title>D2L--第十章注意力机制</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/</link>
+      <pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate>
+
+      <guid>https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/</guid>
+      <description>1. 注意力提示 1.1 生物学的注意力提示 如下的观察实验： 受试者的注意力往往首先被颜色鲜艳的红色咖啡杯吸引（非自主性）； 客观存在的，对于观察者的吸引特</description>
+    </item>
+
+    <item>
+      <title>D2L--第十一章BERT模型</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</link>
+      <pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate>
+
+      <guid>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</guid>
+      <description>1. 基础介绍 BERT（来自Transformers的双向编码器表示）基于Transformer编码器进行预训练(Pre-train)，从而对输</description>
+    </item>
+
     <item>
       <title>图神经网络DGL-01-DGL基础</title>
       <link>https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/</link>

diff --git a/posts/bioinfo/712d2l-第九章现代循环神经网络/index.html b/posts/bioinfo/712d2l-第九章现代循环神经网络/index.html
@@ -2011,10 +2011,10 @@ <h2 id="76-预测序列的评估">7.6 预测序列的评估<a hidden class="anch
     <br>
     <span>D2L--第八章循环神经网络</span>
   </a>
-  <a class="next" href="https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/">
+  <a class="next" href="https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/">
     <span class="title">Next Page »</span>
     <br>
-    <span>图神经网络DGL-01-DGL基础</span>
+    <span>D2L--第十章注意力机制</span>
   </a>
 </nav>
 

diff --git a/posts/bioinfo/713d2l-第十章注意力机制/index.html b/posts/bioinfo/713d2l-第十章注意力机制/index.html
diff --git a/posts/bioinfo/714d2l-第十一章bert模型/index.html b/posts/bioinfo/714d2l-第十一章bert模型/index.html
diff --git a/posts/bioinfo/801图神经网络dgl-01dgl基础/index.html b/posts/bioinfo/801图神经网络dgl-01dgl基础/index.html
@@ -731,10 +731,10 @@ <h3 id="32-sampler与batch模式">3.2 sampler与batch模式<a hidden class="anch
       <li><a href="https://lishensuo.github.io/tags/%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/">图神经网络</a></li>
     </ul>
 <nav class="paginav">
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+  <a class="prev" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/">
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-    <span>D2L--第九章现代循环神经网络</span>
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   </a>
   <a class="next" href="https://lishensuo.github.io/posts/bioinfo/802%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-02%E5%90%8C%E6%9E%84%E5%9B%BE_%E8%8A%82%E7%82%B9%E5%88%86%E7%B1%BB/">
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diff --git a/posts/bioinfo/index.xml b/posts/bioinfo/index.xml
@@ -6,7 +6,7 @@
     <description>Recent content in 📖 生信数据分析--分析流程，工具包等 on Li&#39;s Bioinfo-Blog</description>
     <generator>Hugo -- gohugo.io</generator>
     <language>zh-cn</language>
-    <lastBuildDate>Sun, 11 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/posts/bioinfo/index.xml" rel="self" type="application/rss+xml" />
+    <lastBuildDate>Sat, 17 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/posts/bioinfo/index.xml" rel="self" type="application/rss+xml" />
     <item>
       <title>conda环境下载管理软件、R包</title>
       <link>https://lishensuo.github.io/posts/bioinfo/002conda%E7%8E%AF%E5%A2%83%E4%B8%8B%E8%BD%BD%E7%AE%A1%E7%90%86%E8%BD%AF%E4%BB%B6r%E5%8C%85/</link>
@@ -970,6 +970,24 @@
       <description>1. 门控循环单元(GRU) 传统的RNN在处理长序列时会遇到梯度消失或梯度爆炸的问题。为了解决这些问题，引入了门控机制的变种，如长短时记忆网络（</description>
     </item>
 
+    <item>
+      <title>D2L--第十章注意力机制</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/</link>
+      <pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate>
+
+      <guid>https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/</guid>
+      <description>1. 注意力提示 1.1 生物学的注意力提示 如下的观察实验： 受试者的注意力往往首先被颜色鲜艳的红色咖啡杯吸引（非自主性）； 客观存在的，对于观察者的吸引特</description>
+    </item>
+
+    <item>
+      <title>D2L--第十一章BERT模型</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</link>
+      <pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate>
+
+      <guid>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</guid>
+      <description>1. 基础介绍 BERT（来自Transformers的双向编码器表示）基于Transformer编码器进行预训练(Pre-train)，从而对输</description>
+    </item>
+
     <item>
       <title>图神经网络DGL-01-DGL基础</title>
       <link>https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/</link>

diff --git a/posts/bioinfo/page/11/index.html b/posts/bioinfo/page/11/index.html
@@ -397,11 +397,11 @@ <h2>D2L--第九章现代循环神经网络
 <article class="post-entry">
 	<div class="post-info">  
 		<header class="entry-header">
-			<h2>图神经网络DGL-01-DGL基础
+			<h2>D2L--第十章注意力机制
 			</h2>
 		</header>
 		<section class="entry-content">
-			<p>homogeneous graph ： 一种节点，一种边 heterogeneous graph: 多种节点，多种边 bipartite graph : 两种节点，一种边 1、DGLgraph结构 1.1 同构图 Cora论文关系图–同构图(ho...</p>
+			<p>1. 注意力提示 1.1 生物学的注意力提示 如下的观察实验： 受试者的注意力往往首先被颜色鲜艳的红色咖啡杯吸引（非自主性）； 客观存在的，对于观察者的吸引特...</p>
 		</section>
 		<footer class="entry-footer">
 
@@ -417,9 +417,9 @@ <h2>图神经网络DGL-01-DGL基础
 
 
 
-Create:&nbsp;<span title='2022-07-31 00:00:00 +0000 UTC'>2022-07-31</span>&nbsp;|&nbsp;Update:&nbsp;2022-07-31&nbsp;|&nbsp;Words:&nbsp;1335&nbsp;|&nbsp;3 min&nbsp;|&nbsp;Lishensuo</footer>
+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10662&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</footer>
 	</div>   
-  <a class="entry-link" aria-label="post link to 图神经网络DGL-01-DGL基础" href="https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/"></a>
+  <a class="entry-link" aria-label="post link to D2L--第十章注意力机制" href="https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/"></a>
 </article>
 
 
@@ -429,11 +429,11 @@ <h2>图神经网络DGL-01-DGL基础
 <article class="post-entry">
 	<div class="post-info">  
 		<header class="entry-header">
-			<h2>图神经网络DGL-02同构图_节点分类
+			<h2>D2L--第十一章BERT模型
 			</h2>
 		</header>
 		<section class="entry-content">
-			<p>1 2 3 4 5 6 7 8 import dgl import dgl.nn as dglnn import torch import torch.nn as nn import torch.nn.functional as F import numpy as np 0、预测任务与数据 预测论文属于哪一种类别，即为多分类问题 1 2 3 4 5 6 7 8 9 10 11 12 13 14...</p>
+			<p>1. 基础介绍 BERT（来自Transformers的双向编码器表示）基于Transformer编码器进行预训练(Pre-train)，从而对输...</p>
 		</section>
 		<footer class="entry-footer">
 
@@ -449,9 +449,9 @@ <h2>图神经网络DGL-02同构图_节点分类
 
 
 
-Create:&nbsp;<span title='2022-08-28 00:00:00 +0000 UTC'>2022-08-28</span>&nbsp;|&nbsp;Update:&nbsp;2022-08-28&nbsp;|&nbsp;Words:&nbsp;1681&nbsp;|&nbsp;4 min&nbsp;|&nbsp;Lishensuo</footer>
+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;6808&nbsp;|&nbsp;14 min&nbsp;|&nbsp;Lishensuo</footer>
 	</div>   
-  <a class="entry-link" aria-label="post link to 图神经网络DGL-02同构图_节点分类" href="https://lishensuo.github.io/posts/bioinfo/802%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-02%E5%90%8C%E6%9E%84%E5%9B%BE_%E8%8A%82%E7%82%B9%E5%88%86%E7%B1%BB/"></a>
+  <a class="entry-link" aria-label="post link to D2L--第十一章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
 </article>
 
 
@@ -461,11 +461,11 @@ <h2>图神经网络DGL-02同构图_节点分类
 <article class="post-entry">
 	<div class="post-info">  
 		<header class="entry-header">
-			<h2>图神经网络DGL-03同构图_边回归
+			<h2>图神经网络DGL-01-DGL基础
 			</h2>
 		</header>
 		<section class="entry-content">
-			<p>（1）边回归问题，对图中已存在的边的定量(回归)/定性(分类)，结合训练得到的边的embedding做GNN神经网络预测。 （2）边的embe...</p>
+			<p>homogeneous graph ： 一种节点，一种边 heterogeneous graph: 多种节点，多种边 bipartite graph : 两种节点，一种边 1、DGLgraph结构 1.1 同构图 Cora论文关系图–同构图(ho...</p>
 		</section>
 		<footer class="entry-footer">
 
@@ -481,9 +481,9 @@ <h2>图神经网络DGL-03同构图_边回归
 
 
 
-Create:&nbsp;<span title='2022-08-28 00:00:00 +0000 UTC'>2022-08-28</span>&nbsp;|&nbsp;Update:&nbsp;2022-08-28&nbsp;|&nbsp;Words:&nbsp;2070&nbsp;|&nbsp;5 min&nbsp;|&nbsp;Lishensuo</footer>
+Create:&nbsp;<span title='2022-07-31 00:00:00 +0000 UTC'>2022-07-31</span>&nbsp;|&nbsp;Update:&nbsp;2022-07-31&nbsp;|&nbsp;Words:&nbsp;1335&nbsp;|&nbsp;3 min&nbsp;|&nbsp;Lishensuo</footer>
 	</div>   
-  <a class="entry-link" aria-label="post link to 图神经网络DGL-03同构图_边回归" href="https://lishensuo.github.io/posts/bioinfo/803%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-03%E5%90%8C%E6%9E%84%E5%9B%BE_%E8%BE%B9%E5%9B%9E%E5%BD%92/"></a>
+  <a class="entry-link" aria-label="post link to 图神经网络DGL-01-DGL基础" href="https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/"></a>
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diff --git a/posts/bioinfo/page/12/index.html b/posts/bioinfo/page/12/index.html
@@ -170,6 +170,70 @@ <h1>📖 生信数据分析--分析流程，工具包等</h1>
 
 
 
+<article class="post-entry">
+	<div class="post-info">  
+		<header class="entry-header">
+			<h2>图神经网络DGL-02同构图_节点分类
+			</h2>
+		</header>
+		<section class="entry-content">
+			<p>1 2 3 4 5 6 7 8 import dgl import dgl.nn as dglnn import torch import torch.nn as nn import torch.nn.functional as F import numpy as np 0、预测任务与数据 预测论文属于哪一种类别，即为多分类问题 1 2 3 4 5 6 7 8 9 10 11 12 13 14...</p>
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+Create:&nbsp;<span title='2022-08-28 00:00:00 +0000 UTC'>2022-08-28</span>&nbsp;|&nbsp;Update:&nbsp;2022-08-28&nbsp;|&nbsp;Words:&nbsp;1681&nbsp;|&nbsp;4 min&nbsp;|&nbsp;Lishensuo</footer>
+	</div>   
+  <a class="entry-link" aria-label="post link to 图神经网络DGL-02同构图_节点分类" href="https://lishensuo.github.io/posts/bioinfo/802%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-02%E5%90%8C%E6%9E%84%E5%9B%BE_%E8%8A%82%E7%82%B9%E5%88%86%E7%B1%BB/"></a>
+</article>
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+<article class="post-entry">
+	<div class="post-info">  
+		<header class="entry-header">
+			<h2>图神经网络DGL-03同构图_边回归
+			</h2>
+		</header>
+		<section class="entry-content">
+			<p>（1）边回归问题，对图中已存在的边的定量(回归)/定性(分类)，结合训练得到的边的embedding做GNN神经网络预测。 （2）边的embe...</p>
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+Create:&nbsp;<span title='2022-08-28 00:00:00 +0000 UTC'>2022-08-28</span>&nbsp;|&nbsp;Update:&nbsp;2022-08-28&nbsp;|&nbsp;Words:&nbsp;2070&nbsp;|&nbsp;5 min&nbsp;|&nbsp;Lishensuo</footer>
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+</article>
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