diff --git a/doc/LectureNotes/schedule.md b/doc/LectureNotes/schedule.md
index 7a1bca191..f6cd147c1 100644
--- a/doc/LectureNotes/schedule.md
+++ b/doc/LectureNotes/schedule.md
@@ -93,7 +93,7 @@ For the reading assignments we use the following abbreviations:
   - Video of lecture at https://youtu.be/rDBj50Lv3Go
 
 * Friday: Stochastic Gradient descent with examples and automatic differentiation
-
+  - Video of lecture at https://youtu.be/OH6I_oscwPc
 * Reading recommendations:
   - See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
   - For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well.
diff --git a/doc/src/week39/week39.do.txt b/doc/src/week39/week39.do.txt
index 97c5fa7ea..5d73e4cc7 100644
--- a/doc/src/week39/week39.do.txt
+++ b/doc/src/week39/week39.do.txt
@@ -8,7 +8,7 @@ DATE: today
 * Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Examples on how to implement Logistic Regression and discussion of stochastic gradient descent
   * "Video of lecture":"https://youtu.be/rDBj50Lv3Go"
 * Friday: Stochastic Gradient descent with examples and automatic differentiation
-
+    * "Video of lecture":"https://youtu.be/OH6I_oscwPc"
 * Reading recommendations:
 
 See "lecture notes for week 39":"https://compphysics.github.io/MachineLearning/doc/web/course.html".