update

doc/LectureNotes/_build/html/_sources/schedule.md

@@ -103,7 +103,7 @@ For the reading assignments we use the following abbreviations:
 - Lecture Thursday: Stochastic gradient descent, automatic differentiation and start discussion of  feed-forward Neural Network code for regression and classification
   - Video of Lecture at https://youtu.be/sCHiGSoG2lE
 - Lecture Friday:  Deep Learning and Neural Networks: the back propagation algorithm
-  - Video of Lecture at 
+  - Video of Lecture at https://youtu.be/hDTtA7PRRfI
 - Reading recommendations:
   - See lecture notes for week 40 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
   - For neural networks we recommend Goodfellow et al chapters 6 and 7 and Bishop 5.1-5.4

doc/LectureNotes/_build/html/schedule.html

@@ -656,7 +656,7 @@ const thebe_selector_output = ".output, .cell_output"
 </li>
 <li><p>Lecture Friday:  Deep Learning and Neural Networks: the back propagation algorithm</p>
 <ul>
-<li><p>Video of Lecture at</p></li>
+<li><p>Video of Lecture at <a class="reference external" href="https://youtu.be/hDTtA7PRRfI">https://youtu.be/hDTtA7PRRfI</a></p></li>
 </ul>
 </li>
 <li><p>Reading recommendations:</p>

doc/LectureNotes/schedule.md

@@ -103,7 +103,7 @@ For the reading assignments we use the following abbreviations:
 - Lecture Thursday: Stochastic gradient descent, automatic differentiation and start discussion of  feed-forward Neural Network code for regression and classification
   - Video of Lecture at https://youtu.be/sCHiGSoG2lE
 - Lecture Friday:  Deep Learning and Neural Networks: the back propagation algorithm
-  - Video of Lecture at 
+  - Video of Lecture at https://youtu.be/hDTtA7PRRfI
 - Reading recommendations:
   - See lecture notes for week 40 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
   - For neural networks we recommend Goodfellow et al chapters 6 and 7 and Bishop 5.1-5.4