diff --git a/doc/LectureNotes/_build/.doctrees/environment.pickle b/doc/LectureNotes/_build/.doctrees/environment.pickle
index e39927701..9b6a0d848 100644
Binary files a/doc/LectureNotes/_build/.doctrees/environment.pickle and b/doc/LectureNotes/_build/.doctrees/environment.pickle differ
diff --git a/doc/LectureNotes/_build/.doctrees/schedule.doctree b/doc/LectureNotes/_build/.doctrees/schedule.doctree
index 679fba468..fe94d4481 100644
Binary files a/doc/LectureNotes/_build/.doctrees/schedule.doctree and b/doc/LectureNotes/_build/.doctrees/schedule.doctree differ
diff --git a/doc/LectureNotes/_build/html/_sources/schedule.md b/doc/LectureNotes/_build/html/_sources/schedule.md
index b41450605..80fd99534 100644
--- a/doc/LectureNotes/_build/html/_sources/schedule.md
+++ b/doc/LectureNotes/_build/html/_sources/schedule.md
@@ -113,7 +113,7 @@ For the reading assignments we use the following abbreviations:
 - Lab Wednesday: Work on project 2
 - Lecture Thursday: Deep learning and Neural Networks, developing a code for Neural Networks
   - Video of Lecture at https://youtu.be/yzbxJI6LgL0
-- Lecture Friday: Tensorflow and the mathematics of neural network
+- Lecture Friday: Developing a neural network code
   - Video of Lecture at https://youtu.be/CPj4mh7M9no
 - Reading recommendations:
   - See lecture notes for week 41 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
@@ -122,8 +122,8 @@ For the reading assignments we use the following abbreviations:
   
 ###  Week 42 October 17-21
 - Lab Wednesday: Work on project 2
-- Lecture Thursday: Solving differential equations with neural networks and start Convolutional Neural Networks and classification problems
-  - Video of Lecture at 
+- Lecture Thursday: Discussion of Neural Network calculations and tensorflow. Solving differential equations with neural networks
+  - Video of Lecture at https://youtu.be/MdYT6uwOkT0
 - Lecture Friday: Convolutional Neural Networks and classification problems
   - Video of Lecture at 
 - Reading recommendations:
diff --git a/doc/LectureNotes/_build/html/schedule.html b/doc/LectureNotes/_build/html/schedule.html
index 1f4a05dd7..f3b500a5f 100644
--- a/doc/LectureNotes/_build/html/schedule.html
+++ b/doc/LectureNotes/_build/html/schedule.html
@@ -677,7 +677,7 @@ const thebe_selector_output = ".output, .cell_output"
 <li><p>Video of Lecture at <a class="reference external" href="https://youtu.be/yzbxJI6LgL0">https://youtu.be/yzbxJI6LgL0</a></p></li>
 </ul>
 </li>
-<li><p>Lecture Friday: Tensorflow and the mathematics of neural network</p>
+<li><p>Lecture Friday: Developing a neural network code</p>
 <ul>
 <li><p>Video of Lecture at <a class="reference external" href="https://youtu.be/CPj4mh7M9no">https://youtu.be/CPj4mh7M9no</a></p></li>
 </ul>
@@ -694,9 +694,9 @@ const thebe_selector_output = ".output, .cell_output"
 <h3>Week 42 October 17-21<a class="headerlink" href="#week-42-october-17-21" title="Permalink to this headline">¶</a></h3>
 <ul class="simple">
 <li><p>Lab Wednesday: Work on project 2</p></li>
-<li><p>Lecture Thursday: Solving differential equations with neural networks and start Convolutional Neural Networks and classification problems</p>
+<li><p>Lecture Thursday: Discussion of Neural Network calculations and tensorflow. Solving differential equations with neural networks</p>
 <ul>
-<li><p>Video of Lecture at</p></li>
+<li><p>Video of Lecture at <a class="reference external" href="https://youtu.be/MdYT6uwOkT0">https://youtu.be/MdYT6uwOkT0</a></p></li>
 </ul>
 </li>
 <li><p>Lecture Friday: Convolutional Neural Networks and classification problems</p>
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index b82489fff..415b10c03 100644
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class=\"section-number\">3. </span>Linear Regression","<span class=\"section-number\">14. </span>Building a Feed Forward Neural Network","<span class=\"section-number\">15. </span>Solving Differential Equations  with Deep Learning","<span class=\"section-number\">16. </span>Convolutional Neural Networks","<span class=\"section-number\">17. </span>Recurrent neural networks: Overarching view","<span class=\"section-number\">4. </span>Ridge and Lasso Regression","<span class=\"section-number\">5. </span>Resampling Methods","<span class=\"section-number\">6. </span>Logistic Regression","<span class=\"section-number\">8. </span>Support Vector Machines, overarching aims","<span class=\"section-number\">9. </span>Decision trees, overarching aims","<span class=\"section-number\">10. </span>Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","<span class=\"section-number\">11. </span>Basic ideas of the Principal Component Analysis (PCA)","<span class=\"section-number\">13. </span>Neural networks","<span class=\"section-number\">7. </span>Optimization, the central part of any Machine Learning algortithm","<span class=\"section-number\">12. </span>Clustering and Unsupervised Learning","Applied Data Analysis and Machine Learning","<span class=\"section-number\">2. </span>Linear Algebra, Handling of Arrays and more Python Features","Teaching schedule with links to material","<span class=\"section-number\">1. </span>Elements of Probability Theory and Statistical Data Analysis","Teachers and 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class=\"section-number\">3. </span>Linear Regression","<span class=\"section-number\">14. </span>Building a Feed Forward Neural Network","<span class=\"section-number\">15. </span>Solving Differential Equations  with Deep Learning","<span class=\"section-number\">16. </span>Convolutional Neural Networks","<span class=\"section-number\">17. </span>Recurrent neural networks: Overarching view","<span class=\"section-number\">4. </span>Ridge and Lasso Regression","<span class=\"section-number\">5. </span>Resampling Methods","<span class=\"section-number\">6. </span>Logistic Regression","<span class=\"section-number\">8. </span>Support Vector Machines, overarching aims","<span class=\"section-number\">9. </span>Decision trees, overarching aims","<span class=\"section-number\">10. </span>Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","<span class=\"section-number\">11. </span>Basic ideas of the Principal Component Analysis (PCA)","<span class=\"section-number\">13. </span>Neural networks","<span class=\"section-number\">7. </span>Optimization, the central part of any Machine Learning algortithm","<span class=\"section-number\">12. </span>Clustering and Unsupervised Learning","Applied Data Analysis and Machine Learning","<span class=\"section-number\">2. </span>Linear Algebra, Handling of Arrays and more Python Features","Teaching schedule with links to material","<span class=\"section-number\">1. </span>Elements of Probability Theory and Statistical Data Analysis","Teachers and 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2,4,12],uncorrel:[],uniform:[],univers:[12,20],unsupervis:14,up:[0,2,9,12],us:[0,1,2,3,7,13,15],valid:6,valu:[5,11,18],variabl:18,varianc:6,variou:0,vector:[8,12,16],view:[0,4,10],visual:[1,9],vs:3,wai:9,wave:2,week:17,weekli:17,what:0,which:1,why:[],wisconsin:7,write:[4,11],xgboost:10,your:[0,10]}})
\ No newline at end of file
diff --git a/doc/LectureNotes/schedule.md b/doc/LectureNotes/schedule.md
index b41450605..80fd99534 100644
--- a/doc/LectureNotes/schedule.md
+++ b/doc/LectureNotes/schedule.md
@@ -113,7 +113,7 @@ For the reading assignments we use the following abbreviations:
 - Lab Wednesday: Work on project 2
 - Lecture Thursday: Deep learning and Neural Networks, developing a code for Neural Networks
   - Video of Lecture at https://youtu.be/yzbxJI6LgL0
-- Lecture Friday: Tensorflow and the mathematics of neural network
+- Lecture Friday: Developing a neural network code
   - Video of Lecture at https://youtu.be/CPj4mh7M9no
 - Reading recommendations:
   - See lecture notes for week 41 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
@@ -122,8 +122,8 @@ For the reading assignments we use the following abbreviations:
   
 ###  Week 42 October 17-21
 - Lab Wednesday: Work on project 2
-- Lecture Thursday: Solving differential equations with neural networks and start Convolutional Neural Networks and classification problems
-  - Video of Lecture at 
+- Lecture Thursday: Discussion of Neural Network calculations and tensorflow. Solving differential equations with neural networks
+  - Video of Lecture at https://youtu.be/MdYT6uwOkT0
 - Lecture Friday: Convolutional Neural Networks and classification problems
   - Video of Lecture at 
 - Reading recommendations: