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index.html

@@ -400,8 +400,8 @@
 </li>
 
         <li class="md-nav__item">
-  <a href="#2023-schedule" class="md-nav__link">
-    2023 Schedule
+  <a href="#2024-schedule" class="md-nav__link">
+    2024 Schedule
   </a>
 
 </li>
@@ -443,7 +443,7 @@ <h2 id="syllabus">Syllabus<a class="headerlink" href="#syllabus" title="Permanen
 able to understand recent literature in deep learning, implement novel neural
 network architectures, use and understand the PyTorch library in many ways, and
 apply deep learning to different domains.</p>
-<h2 id="2023-schedule">2023 Schedule<a class="headerlink" href="#2023-schedule" title="Permanent link">🔗</a></h2>
+<h2 id="2024-schedule">2024 Schedule<a class="headerlink" href="#2024-schedule" title="Permanent link">🔗</a></h2>
 <table>
 <thead>
 <tr>
@@ -454,45 +454,50 @@ <h2 id="2023-schedule">2023 Schedule<a class="headerlink" href="#2023-schedule"
 </thead>
 <tbody>
 <tr>
-<td>28/11</td>
+<td>12/11</td>
 <td><a href="ANN.html">Artificial Neural Networks</a></td>
 <td>ANNs, backpropagation, Stochastic Gradient Descent</td>
 </tr>
 <tr>
-<td>29/11</td>
+<td>12/11</td>
 <td><a href="deep.html">Deep Learning</a></td>
 <td>layers, convolution, architectures, training</td>
 </tr>
 <tr>
-<td>05/12</td>
+<td>26/11</td>
 <td><a href="vision.html">Deep Learning for Computer Vision, pt 1</a></td>
 <td>Convolutional Neural Networks, satellite imagery</td>
 </tr>
 <tr>
-<td>05/12</td>
+<td>26/11</td>
 <td><a href="vision.html">Deep Learning for Computer Vision, pt 2</a></td>
 <td></td>
 </tr>
 <tr>
-<td>12/12</td>
-<td><a href="GAN.html">GANs</a></td>
+<td>03/12</td>
+<td><a href="GAN.html">Image generation</a></td>
 <td>VAEs, GANs, and Diffusion Models</td>
 </tr>
 <tr>
-<td>19/12</td>
+<td>09/12</td>
 <td><a href="RNN.html">RNNs</a></td>
 <td>Recurrent Neural Networks, LSTM, GRU</td>
 </tr>
 <tr>
-<td>19/12</td>
-<td><a href="NLP.html">NLP</a></td>
-<td>Natural Language Processing, Transformers</td>
+<td>10/12</td>
+<td><a href="NLP.html">Transformers</a></td>
+<td>Transformers</td>
 </tr>
 <tr>
-<td>09/01</td>
+<td>17/12</td>
 <td><a href="DR.html">Dimensionality Reduction</a></td>
 <td>Autoencoders, t-SNE</td>
 </tr>
+<tr>
+<td>17/12</td>
+<td><a href="NLP.html">LLMs</a></td>
+<td>Large Language Models</td>
+</tr>
 </tbody>
 </table>