update schedule

USC-FORTIS · Nov 12, 2023 · 6a2ced7 · 6a2ced7
1 parent c169065
commit 6a2ced7
Showing 1 changed file with 11 additions and 10 deletions.
diff --git a/schedule.html b/schedule.html
@@ -157,9 +157,9 @@ <h2>Schedule</h2>
                             <td><strong>Week 4</strong><br>Feb 2</td>
                             <td>
                                 Neural Network Basics<br>
-                                &nbsp;&nbsp; - Perceptron<br>
-                                &nbsp;&nbsp; - Stochastic Gradient Descent / Logistic Regression<br>
-                                &nbsp;&nbsp; - Feature Engineering / Regularization
+                                &nbsp;&nbsp; - Perceptron Revisited <br>
+                                &nbsp;&nbsp; - Gradient Descent <br>
+                                &nbsp;&nbsp; - Forward Propagation
                             </td>
                             <td>Quiz 1</td>
                             <td>Course Project Teams Formed Pre-proposal DUE</td>
@@ -168,8 +168,7 @@ <h2>Schedule</h2>
                             <td><strong>Week 5</strong><br>Feb 9</td>
                             <td>
                                 1. Neural Network Continued:<br>
-                                   - Neural Networks<br>
-                                   - Backpropagations<br>
+                                   &nbsp;&nbsp; - Back propagations<br>
                                 2. Cloud computing service tutorial (TA)<br>
                                 3. Deep Learning Software Tutorial (TA)
                             </td>
@@ -179,9 +178,10 @@ <h2>Schedule</h2>
                         <tr>
                             <td><strong>Week 6</strong><br>Feb 16</td>
                             <td>
-                                1. Training Neural Networks<br>
-                                2. Convolutional Neural Networks<br>
-                                3. Recurrent Neural Networks
+                                Different types of  Neural Networks:
+                                1. Convolutional Neural Networks<br>
+                                2. Recurrent Neural Networks<br>
+                                3. Graph Neural Networks<br>
                             </td>
                             <td></td>
                             <td>Proposal and Literature Review DUE</td>
@@ -235,8 +235,9 @@ <h2>Schedule</h2>
                         <tr>
                             <td><strong>Week 12</strong><br>Mar 29</td>
                             <td>
-                                1. Graph Neural Networks<br>
-                                2. ML Scalability and Systems
+                                1. Advanced Graph Neural Networks<br>
+                                2. ML Scalability and Systems<br>
+                                3. ML Advice?
                             </td>
                             <td></td>
                             <td>Assignment 2 DUE</td>