update on notes

doc/LectureNotes/_build/html/exercisesweek43.html

@@ -343,6 +343,16 @@ const thebe_selector_output = ".output, .cell_output"
    Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="week44.html">
+   Week 44,  Convolutional Neural Networks (CNN)
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="week45.html">
+   Week 45,  Recurrent Neural Networks
+  </a>
+ </li>
 </ul>
 <p aria-level="2" class="caption" role="heading">
  <span class="caption-text">
@@ -933,9 +943,8 @@ Accuracy score on data set:  0.5
 Learning rate  =  0.0001
 Lambda =  0.0001
 Accuracy score on data set:  0.5
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Learning rate  =  0.0001
+
+Learning rate  =  0.0001
 Lambda =  0.001
 Accuracy score on data set:  0.5
 
@@ -1118,7 +1127,7 @@ Accuracy score on data set:  0.5
   warnings.warn(
 </pre></div>
 </div>
-<img alt="_images/exercisesweek43_26_3.png" src="_images/exercisesweek43_26_3.png" />
+<img alt="_images/exercisesweek43_26_2.png" src="_images/exercisesweek43_26_2.png" />
 </div>
 </div>
 </div>
@@ -5423,8 +5432,9 @@ case.</p>
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Adam: Eta=0.001, Lambda=0
-
-  [----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392 
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  [----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392 
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  [----------------------------------------] 0.1000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392