diff --git a/doc/src/week43/week43.do.txt b/doc/src/week43/week43.do.txt
index ef64de323..31808bbda 100644
--- a/doc/src/week43/week43.do.txt
+++ b/doc/src/week43/week43.do.txt
@@ -4,8 +4,8 @@ DATE: today
 
 !split
 
-* Thursday: Wrapping up Recurrent Neural Networks and solving differential equations. 
-* Friday: Principal Component Analysis and Dimensionality Reduction
+* Thursday: Wrapping up Recurrent Neural Networks and solving differential equations. "Video of Lecture October 22":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober22.mp4?vrtx=view-as-webpage"
+* Friday: Principal Component Analysis and Dimensionality Reduction. "Video of Lecture October 23":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober23.mp4?vrtx=view-as-webpage"
 
 
 We will also study the usage of "Autograd":"https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from "week 40":"https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" and the "Autograd doucmentation":"https://github.com/HIPS/autograd".