update

doc/LectureNotes/_build/html/exercisesweek43.html

@@ -931,8 +931,9 @@ Accuracy score on data set:  0.5
 Learning rate  =  1e-05
 Lambda =  1.0
 Accuracy score on data set:  0.5
-
-Learning rate  =  1e-05
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Learning rate  =  1e-05
 Lambda =  10.0
 Accuracy score on data set:  0.5
 
@@ -1035,6 +1036,75 @@ Accuracy score on data set:  1.0
 Learning rate  =  0.1
 Lambda =  0.01
 Accuracy score on data set:  1.0
+
+Learning rate  =  0.1
+Lambda =  0.1
+Accuracy score on data set:  0.5
+
+Learning rate  =  0.1
+Lambda =  1.0
+Accuracy score on data set:  0.5
+
+Learning rate  =  0.1
+Lambda =  10.0
+Accuracy score on data set:  0.5
+
+Learning rate  =  1.0
+Lambda =  1e-05
+Accuracy score on data set:  0.75
+
+Learning rate  =  1.0
+Lambda =  0.0001
+Accuracy score on data set:  0.75
+
+Learning rate  =  1.0
+Lambda =  0.001
+Accuracy score on data set:  0.75
+
+Learning rate  =  1.0
+Lambda =  0.01
+Accuracy score on data set:  0.5
+
+Learning rate  =  1.0
+Lambda =  0.1
+Accuracy score on data set:  0.5
+
+Learning rate  =  1.0
+Lambda =  1.0
+Accuracy score on data set:  0.5
+
+Learning rate  =  1.0
+Lambda =  10.0
+Accuracy score on data set:  0.5
+
+Learning rate  =  10.0
+Lambda =  1e-05
+Accuracy score on data set:  0.5
+
+Learning rate  =  10.0
+Lambda =  0.0001
+Accuracy score on data set:  0.5
+
+Learning rate  =  10.0
+Lambda =  0.001
+Accuracy score on data set:  0.5
+
+Learning rate  =  10.0
+Lambda =  0.01
+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  =  10.0
+Lambda =  0.1
+Accuracy score on data set:  0.5
+
+Learning rate  =  10.0
+Lambda =  1.0
+Accuracy score on data set:  0.5
+
+Learning rate  =  10.0
+Lambda =  10.0
+Accuracy score on data set:  0.5
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:692: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn&#39;t converged yet.
@@ -1059,76 +1129,7 @@ Accuracy score on data set:  1.0
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Learning rate  =  0.1
-Lambda =  0.1
-Accuracy score on data set:  0.5
-
-Learning rate  =  0.1
-Lambda =  1.0
-Accuracy score on data set:  0.5
-
-Learning rate  =  0.1
-Lambda =  10.0
-Accuracy score on data set:  0.5
-
-Learning rate  =  1.0
-Lambda =  1e-05
-Accuracy score on data set:  0.75
-
-Learning rate  =  1.0
-Lambda =  0.0001
-Accuracy score on data set:  0.75
-
-Learning rate  =  1.0
-Lambda =  0.001
-Accuracy score on data set:  0.75
-
-Learning rate  =  1.0
-Lambda =  0.01
-Accuracy score on data set:  0.5
-
-Learning rate  =  1.0
-Lambda =  0.1
-Accuracy score on data set:  0.5
-
-Learning rate  =  1.0
-Lambda =  1.0
-Accuracy score on data set:  0.5
-
-Learning rate  =  1.0
-Lambda =  10.0
-Accuracy score on data set:  0.5
-
-Learning rate  =  10.0
-Lambda =  1e-05
-Accuracy score on data set:  0.5
-
-Learning rate  =  10.0
-Lambda =  0.0001
-Accuracy score on data set:  0.5
-
-Learning rate  =  10.0
-Lambda =  0.001
-Accuracy score on data set:  0.5
-
-Learning rate  =  10.0
-Lambda =  0.01
-Accuracy score on data set:  0.5
-
-Learning rate  =  10.0
-Lambda =  0.1
-Accuracy score on data set:  0.5
-
-Learning rate  =  10.0
-Lambda =  1.0
-Accuracy score on data set:  0.5
-
-Learning rate  =  10.0
-Lambda =  10.0
-Accuracy score on data set:  0.5
-</pre></div>
-</div>
-<img alt="_images/exercisesweek43_26_3.png" src="_images/exercisesweek43_26_3.png" />
+<img alt="_images/exercisesweek43_26_4.png" src="_images/exercisesweek43_26_4.png" />
 </div>
 </div>
 </div>
@@ -5433,8 +5434,9 @@ 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