update. week 38

Author: mhjensen

doc/LectureNotes/week38.ipynb

@@ -259,7 +259,7 @@ <h2 id="plans-for-week-38-lecture-monday-september-15" class="anchor">Plans for
 <ol>
 <li> Statistical interpretation of Ridge and Lasso regression</li>
 <li> Resampling techniques, Bootstrap and cross validation and bias-variance tradeoff (this may partly be discussed during the exercise sessions as well.</li>
-<li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/" target="_self"><tt>https://youtu.be/</tt></a>
+<li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_self"><tt>https://youtu.be/J_41Hld6tTU</tt></a>
 <!-- * <a href="https://youtu.be/omLmp_kkie0" target="_self">Video of Lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember9.pdf" target="_self">Whiteboard notes</a> --></li>
 </ol>

doc/pub/week37/ipynb/week37.ipynb

@@ -260,6 +260,8 @@ <h2 id="material-for-the-lab-sessions" class="anchor">Material for the lab sessi
 </p>
 
 <p>For the lab session, the following video on cross validation (from 2024), could be helpful, see <a href="https://www.youtube.com/watch?v=T9jjWsmsd1o" target="_self"><tt>https://www.youtube.com/watch?v=T9jjWsmsd1o</tt></a></p>
+
+<p>See also video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_self"><tt>https://youtu.be/J_41Hld6tTU</tt></a></p>
 <p>
 <!-- navigation buttons at the bottom of the page -->
 <ul class="pagination">

doc/pub/week38/html/._week38-bs001.html

@@ -200,7 +200,7 @@ <h2 id="plans-for-week-38-lecture-monday-september-15">Plans for week 38, lectur
 <ol>
 <p><li> Statistical interpretation of Ridge and Lasso regression</li>
 <p><li> Resampling techniques, Bootstrap and cross validation and bias-variance tradeoff (this may partly be discussed during the exercise sessions as well.</li>
-<p><li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/" target="_blank"><tt>https://youtu.be/</tt></a>
+<p><li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_blank"><tt>https://youtu.be/J_41Hld6tTU</tt></a>
 <!-- * <a href="https://youtu.be/omLmp_kkie0" target="_blank">Video of Lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember9.pdf" target="_blank">Whiteboard notes</a> --></li>
 </ol>
@@ -1830,6 +1830,8 @@ <h2 id="material-for-the-lab-sessions">Material for the lab sessions </h2>
 </p>
 
 <p>For the lab session, the following video on cross validation (from 2024), could be helpful, see <a href="https://www.youtube.com/watch?v=T9jjWsmsd1o" target="_blank"><tt>https://www.youtube.com/watch?v=T9jjWsmsd1o</tt></a></p>
+
+<p>See also video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_blank"><tt>https://youtu.be/J_41Hld6tTU</tt></a></p>
 </section>
 
 

doc/pub/week38/html/._week38-bs042.html

@@ -238,7 +238,7 @@ <h2 id="plans-for-week-38-lecture-monday-september-15">Plans for week 38, lectur
 <ol>
 <li> Statistical interpretation of Ridge and Lasso regression</li>
 <li> Resampling techniques, Bootstrap and cross validation and bias-variance tradeoff (this may partly be discussed during the exercise sessions as well.</li>
-<li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/" target="_blank"><tt>https://youtu.be/</tt></a>
+<li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_blank"><tt>https://youtu.be/J_41Hld6tTU</tt></a>
 <!-- * <a href="https://youtu.be/omLmp_kkie0" target="_blank">Video of Lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember9.pdf" target="_blank">Whiteboard notes</a> --></li>
 </ol>
@@ -1758,6 +1758,8 @@ <h2 id="material-for-the-lab-sessions">Material for the lab sessions </h2>
 </p>
 
 <p>For the lab session, the following video on cross validation (from 2024), could be helpful, see <a href="https://www.youtube.com/watch?v=T9jjWsmsd1o" target="_blank"><tt>https://www.youtube.com/watch?v=T9jjWsmsd1o</tt></a></p>
+
+<p>See also video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_blank"><tt>https://youtu.be/J_41Hld6tTU</tt></a></p>
 <!-- ------------------- end of main content --------------- -->
 <center style="font-size:80%">
 <!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license

doc/pub/week38/html/week38-reveal.html

@@ -315,7 +315,7 @@ <h2 id="plans-for-week-38-lecture-monday-september-15">Plans for week 38, lectur
 <ol>
 <li> Statistical interpretation of Ridge and Lasso regression</li>
 <li> Resampling techniques, Bootstrap and cross validation and bias-variance tradeoff (this may partly be discussed during the exercise sessions as well.</li>
-<li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/" target="_blank"><tt>https://youtu.be/</tt></a>
+<li> The material we did not cover last week, that is on more advanced methods for updating the learning rate, are covered by its own video. We will briefly discuss these topics at the beginning of the lecture and during the lab sessions. See video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_blank"><tt>https://youtu.be/J_41Hld6tTU</tt></a>
 <!-- * <a href="https://youtu.be/omLmp_kkie0" target="_blank">Video of Lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember9.pdf" target="_blank">Whiteboard notes</a> --></li>
 </ol>
@@ -1835,6 +1835,8 @@ <h2 id="material-for-the-lab-sessions">Material for the lab sessions </h2>
 </p>
 
 <p>For the lab session, the following video on cross validation (from 2024), could be helpful, see <a href="https://www.youtube.com/watch?v=T9jjWsmsd1o" target="_blank"><tt>https://www.youtube.com/watch?v=T9jjWsmsd1o</tt></a></p>
+
+<p>See also video on ADAgrad, RMSprop and ADAM (material from last week not covered during lecture) at <a href="https://youtu.be/J_41Hld6tTU" target="_blank"><tt>https://youtu.be/J_41Hld6tTU</tt></a></p>
 <!-- ------------------- end of main content --------------- -->
 <center style="font-size:80%">
 <!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license