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-    <h2>《动手学深度学习》）</h2>
+    <h2>《动手学深度学习》</h2>
     <p>面向中文读者的能运行、可讨论的深度学习教科书 <br><br>
        含<b>NumPy/MXNet</b>、<b>PyTorch</b>和<b>TensorFlow</b>实现<br><br>
-       全球40个国家175所大学采用
+       被全球40个国家175所大学采用教学
     </p>
   </div>
 </div>
 
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   <div>
-    <h3>Announcements</h3>
+    <h3>公告</h3>
     <div align="left">
     <ul>
-      <li> [Jan 2021] Check out the brand-new <a href="https://d2l.ai/chapter_attention-mechanisms/index.html">Chapter: Attention Mechanisms</a>.
-          We have also completed PyTorch implementations.
-          To keep track of the latest updates, please follow D2L's <a href="https://github.com/d2l-ai/d2l-en">open-source project</a>.
-      </li>
-        <li> [Oct 2020] We have added TensorFlow implementations up to Chapter 7 (Modern CNNs).
-        </li>
-      <li> [Apr 2020] We have revamped
-        <a href="chapter_natural-language-processing-pretraining/index.html">Chapter: NLP pretraining</a>
-        and <a href="chapter_natural-language-processing-applications/index.html">Chapter: NLP applications</a>,
-        and added sections of BERT and natural language inference.
-      </li>
-    <li>[Jul 2019]
-      The Chinese version is the <a href="https://raw.githubusercontent.com/d2l-ai/d2l-zh/master/img/frontpage/jd-190715-en.png">No. 1 best seller</a> of new books in "Computers and Internet" at the largest Chinese online bookstore.
+    <li><b>【关注更新】</b>
+      英文版的第一章至第七章已翻译完，并含多深度学习框架的实现。
+      英文版还新增了<a href="https://d2l.ai/chapter_attention-mechanisms/index.html">注意力机制</a>、
+      <a href="https://d2l.ai/chapter_natural-language-processing-pretraining/bert.html">BERT</a>、
+      <a href="https://d2l.ai/chapter_natural-language-processing-applications/natural-language-inference-attention.html">自然语言推理</a>、
+      <a href="https://d2l.ai/chapter_recommender-systems/index.html">推荐系统</a>一章和<a href="https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/index.html">深度学习的数学</a>一章。
+      如果想及时获取最新修订或增添的信息，
+      请关注本书的<a href="https://github.com/d2l-ai/d2l-zh">中文开源项目</a>和<a href="https://github.com/d2l-ai/d2l-en">英文开源项目</a>。
     </li>
-    <li>[May 2019]
-      Slides, Jupyter notebooks, assignments, and videos of the Berkeley course can be found at the
-      <a href="https://courses.d2l.ai/berkeley-stat-157/syllabus.html">syllabus page</a>.
+    <li><b>【购买纸质书（上架4周重印2次，累计3万+册）】</b>
+      纸质书在内容上与在线版大致相同，但力求在样式、术语标注、语言表述、用词规范、标点以及图、表、章节的索引上符合出版标准和学术规范。
+      可以在
+      <a href="https://item.jd.com/12613094.html">京东</a>、
+      <a href="http://product.dangdang.com/27872783.html">当当</a>、
+      <a href="https://detail.tmall.com/item.htm?id=594937167055">天猫</a>
+      购买全彩精装版；
+      或者在
+      <a href="https://item.jd.com/12527061.html">京东</a>、
+      <a href="http://product.dangdang.com/27871474.html">当当</a>、
+      <a href="https://detail.tmall.com/item.htm?id=594658766444">天猫</a>
+      购买黑白平装版。
+      [<a href="https://raw.githubusercontent.com/d2l-ai/d2l-zh/master/img/frontpage/jd-190715-zh.png">新书榜</a>]
+      [<a href="https://zhuanlan.zhihu.com/p/66689123">关于样书</a>]
+    </li>
+    <li><b>【免费资源（新增中文版课件）】</b>
+      在校学生和老师可以申请用于本书学习或教学的<a href="http://zh.d2l.ai/aws4learn.html">免费计算资源</a>。
+      课件、作业、教学视频等资源可参考伯克利“深度学习导论”
+      <a href="https://courses.d2l.ai/berkeley-stat-157/syllabus.html">课程大纲</a>
+      中的链接（<a href="https://github.com/d2l-ai/berkeley-stat-157/tree/master/slides-zh">中文版课件</a>）。
+      基于本书<a href="https://github.com/d2l-ai/d2l-zh/archive/v0.61.zip">较早草稿内容</a>的中文教学视频在：
+      <a href="https://space.bilibili.com/209599371/channel/detail?cid=23541">B站</a>
+      和
+      <a href="https://www.youtube.com/watch?v=kGktiYF5upk&list=PLLbeS1kM6teJqdFzw1ICHfa4a1y0hg8Ax">Youtube</a>。
+      [<a href="https://zhuanlan.zhihu.com/p/66062438">关于资源</a>]
     </li>
     </ul>
     </div>
@@ -219,43 +236,39 @@ a {
 
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   <div class = "author-group-title mdl-cell mdl-cell--12-col mdl-cell--top">
-  <h2>Authors</h2>
+  <h2>作者</h2>
   </div>
   <div class = "mdl-cell mdl-cell--3-col mdl-cell--top">
     <div class="author-item">
-      <img src="./_images/aston.jpg"/>
-      <h3><a href="https://www.astonzhang.com/">Aston Zhang</a></h3>
-      <p>Amazon Senior Scientist</p>
+      <img src="./_images/frontpage/aston.jpg"/>
+      <h3><a href="https://astonzhang.github.io/">阿斯顿·张 </a></h3>
+      <p>亚马逊高级科学家，美国伊利诺伊大学香槟分校计算机科学博士。</p>
     </div>
   </div>
-
   <div class = "mdl-cell mdl-cell--3-col mdl-cell--top">
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-      <img src="./_images/zack.jpg"/>
-      <h3><a href="http://zacklipton.com/">Zack C. Lipton</a></h3>
-      <p>Amazon Scientist<br>
-        CMU Assistant Professor
-        </p>
+      <img src="./_images/frontpage/mu.jpg"/>
+      <h3><a href="http://www.cs.cmu.edu/~muli/">李沐</a></h3>
+      <p>亚马逊首席（principal）科学家，美国卡内基梅隆大学计算机系博士。</p>
     </div>
   </div>
   <div class = "mdl-cell mdl-cell--3-col mdl-cell--top">
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-      <img src="./_images/mu.jpg"/>
-      <h3><a href="https://www.cs.cmu.edu/~muli/">Mu Li</a></h3>
-      <p>Amazon Senior Principal Scientist
-        </p>
+      <img src="./_images/frontpage/zack.jpg"/>
+      <h3><a href="http://zacklipton.com/">扎卡里 C. 立顿</a></h3>
+      <p> 亚马逊科学家，美国卡内基梅隆大学助理教授，加州大学圣迭戈分校计算机科学博士。</p>
     </div>
   </div>
   <div class = "mdl-cell mdl-cell--3-col mdl-cell--top">
     <div class="author-item">
-      <img src="./_images/alex.jpg"/>
-      <h3><a href="https://alex.smola.org/">Alex J. Smola</a></h3>
-      <p>Amazon VP/Distinguished Scientist
-        </p>
+      <img src="./_images/frontpage/alex.jpg"/>
+      <h3><a href="https://alex.smola.org/">亚历山大 J. 斯莫拉</a></h3>
+      <p>亚马逊副总裁/杰出科学家，德国柏林工业大学计算机科学博士。</p>
     </div>
   </div>
+    
   <div class = "author-group-title mdl-cell mdl-cell--12-col mdl-cell--top">
-  <h2>Vol.2 Chapter Authors</h2>
+  <h2>第二卷章节作者</h2>
   </div>
   <div class = "mdl-cell mdl-cell--3-col mdl-cell--top">
     <div class="author-item">