update

docs/policies.md

@@ -14,7 +14,9 @@ Attendance is mandatory. If you absolutely cannot make it to lecture, please DM
 ### Homework
 Throughout the semester, we'll be releasing homework that accompanies lectures. To subvert limitless extensions, we'll be implementing a hard extension policy requiring you to turn in homework **at most 4 days after the deadline**. This policy is for your benefit and will help you keep pace with the course!
 
-We'll also be hosting weekly **homework parties** so you can ask questions and work with your fellow new members on the homework. (Details for times/locations for these will be released soon).
+We'll also be hosting weekly **homework parties** so you can ask questions and work with your fellow new members on the homework. 
+
+Homework parties are Fridays, 12pm-2pm (11am-12pm for those who can't make it) @ BWW Floor 3.
 
 ### Projects
 Towards the latter half of NMEP, you'll also be completing a project of your choosing with the help of mentors (older ML@B members). Project teams will be **3-4 people**, and there will be a final project showcase at the end of the semester so you can talk about the ✨cool✨ things you built/discovered!

index.md

@@ -48,9 +48,9 @@ Your instructors this semester are Tejas Prabhune and Tim Xie!
             <td>Oct 7</td>
             <td>Deep Learning, Embeddings</td>
             <td><span class="label label-yellow"><strong>Homework 1</strong></span>
-            Neural Networks Review
-            Intro to Pytorch
-            Word Embeddings
+            <a href="/fa24-nmep/assets/hw1/hw1-review-worksheet.pdf">Neural Networks Review</a>
+            <a href="https://drive.google.com/file/d/1Up6oxVNy7W_htigekfo2uYSslChIcEof/view?usp=drive_link">Intro to Pytorch</a>
+            <a href="https://drive.google.com/drive/folders/1iKE6BhsT00fzy4j2yqUELYKmqEXts6fQ?usp=drive_link">Word Embeddings</a>
             </td>
             <td>Tim</td>
         </tr>