From c44e663ea4569b740bb8ec2ab2cd0879b7be841a Mon Sep 17 00:00:00 2001
From: Aston Zhang <22279212+astonzhang@users.noreply.github.com>
Date: Mon, 22 Jul 2019 02:11:45 -0700
Subject: [PATCH] Update frontpage.html

---
 static/frontpage/frontpage.html | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/static/frontpage/frontpage.html b/static/frontpage/frontpage.html
index 4f7710d5f5..e4de208682 100644
--- a/static/frontpage/frontpage.html
+++ b/static/frontpage/frontpage.html
@@ -109,8 +109,7 @@ <h3>Announcements</h3>
       please follow D2L's <a href="https://github.com/d2l-ai/d2l-en">open-source project</a>.
     </li>
     <li><b>[Chinese version]</b>
-      The Chinese version of D2L is published and the hard copy can be ordered.
-      See details at <a href="https://zh.d2l.ai">zh.d2l.ai</a>.
+      The Chinese version is the <a href="https://i.imgur.com/kgygeZ8.png">No. 1 best seller</a> of new books in "Computers and Internet" at the largest Chinese online bookstore.
     </li>
     <li><b>[Teaching]</b>
       Slides, Jupyter notebooks, assignments, and videos of the Berkeley course can be found at the
@@ -125,7 +124,7 @@ <h3>Announcements</h3>
   <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>
+      <h3><a href="https://www.astonzhang.com/">Aston Zhang</a></h3>
       <p>Amazon Applied Scientist<br>UIUC Ph.D.</p>
     </div>
   </div>
@@ -162,7 +161,7 @@ <h4><a href="https://github.com/diveintodeeplearning/d2l-en/blob/master/README.m
 <div class = "features mdl-grid">
   <div class = "mdl-cell mdl-cell--5-col mdl-cell--middle">
     <div class="content">
-      <h2>Each section is an executable <a href="chapter_crashcourse/install.html">Jupyter notebook</a></h2>
+      <h2>Each section is an executable <a href="chapter_install/install.html">Jupyter notebook</a></h2>
       <p>You can modify the code and tune hyperparameters to get instant
       feedback to accumulate practical experiences in deep learning.</p>
     </div>