update homepage

static/frontpage/attachments/hardcopy.txt

@@ -1,7 +1,8 @@
-If you use D2L to teach (or will use) and would like to receive a free hardcopy, you need 2 steps:
+If you use D2L to teach (or will use) and would like to receive a free hardcopy (while supplies last), just follow 2 steps:
 
 Step 1: Submit your shipping information for receiving the hardcopy at https://forms.gle/RwGmDuawwZ1AbyWP7
 
-Step 2: Use your work email (the "Recipient Work Email" of your submitted shipping information in Step 1 to contact us at [email protected] with 
+Step 2: Use your work email (the "Recipient Work Email" of your submitted shipping information in Step 1 to contact us at [email protected] with
 i) your school name, your course and semester where you use (or will use) D2L to teach;
 ii) (optional) how you use (or will use) D2L in your teaching and your course website (if any).
+

static/frontpage/frontpage.html

@@ -184,7 +184,7 @@
     <h2>Dive into Deep Learning</h2>
     <p><b>Interactive</b> deep learning book with code, math, and discussions <br><br>
         Implemented with <b>NumPy/MXNet</b>, <b>PyTorch</b>, and <b>TensorFlow</b><br><br>
-        Adopted at 175 universities from 40 countries
+        Adopted at 200 universities from 50 countries
     </p>
   </div>
 </div>
@@ -194,7 +194,7 @@ <h2>Dive into Deep Learning</h2>
     <h3>Announcements</h3>
     <div align="left">
     <ul>
-      <li> [Jun 2021] We have improved Chapter 1--10, 12--13 for v1.0, and added TensorFlow implementations up to Chapter 11.
+      <li> [Jul 2021] We have improved the content for v1.0, and added TensorFlow implementations up to Chapter 11.
           To keep track of the latest updates, just follow D2L's <a href="https://github.com/d2l-ai/d2l-en">open-source project</a>.
       </li>
       <li> [Jan 2021] Check out the brand-new <a href="https://d2l.ai/chapter_attention-mechanisms/index.html">Chapter: Attention Mechanisms</a>.