correcting typos

Author: mhjensen

doc/pub/week43/html/week43-bs.html

@@ -397,7 +397,7 @@ <h2 id="plans-for-week-43" class="anchor">Plans for week 43 </h2>
 <div class="panel-body">
 <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
 <ol>
-<li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
+<li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
 <li> Building our own Feed-forward Neural Network.</li>
 <li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li> 
 <li> Start discussions on how to use neural networks for solving  differential equations (ordinary and partial ones). This topic continues next week as well.

doc/pub/week43/html/week43-reveal.html

@@ -198,7 +198,7 @@ <h2 id="plans-for-week-43">Plans for week 43 </h2>
 <b>Material for the lecture on Monday October 20, 2025</b>
 <p>
 <ol>
-<p><li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
+<p><li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
 <p><li> Building our own Feed-forward Neural Network.</li>
 <p><li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li> 
 <p><li> Start discussions on how to use neural networks for solving  differential equations (ordinary and partial ones). This topic continues next week as well.

doc/pub/week43/html/week43-solarized.html

@@ -318,7 +318,7 @@ <h2 id="plans-for-week-43">Plans for week 43 </h2>
 <b>Material for the lecture on Monday October 20, 2025</b>
 <p>
 <ol>
-<li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
+<li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
 <li> Building our own Feed-forward Neural Network.</li>
 <li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li> 
 <li> Start discussions on how to use neural networks for solving  differential equations (ordinary and partial ones). This topic continues next week as well.

doc/pub/week43/html/week43.html

@@ -395,7 +395,7 @@ <h2 id="plans-for-week-43">Plans for week 43 </h2>
 <b>Material for the lecture on Monday October 20, 2025</b>
 <p>
 <ol>
-<li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
+<li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li> 
 <li> Building our own Feed-forward Neural Network.</li>
 <li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li> 
 <li> Start discussions on how to use neural networks for solving  differential equations (ordinary and partial ones). This topic continues next week as well.