update with video

doc/LectureNotes/schedule.md

@@ -103,7 +103,7 @@ For the reading assignments we use the following abbreviations:
 - Lab Wednesday: Wrap up project 1
 - 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://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober7.mp4?vrtx=view-as-webpage
-- Lecture Friday:  Deep Learning and Neural Networks
+- Lecture Friday:  Deep Learning and Neural Networks: the back propagation algorithm
   - Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage 
 - Reading recommendations:
   - See lecture notes for week 40 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
@@ -112,9 +112,10 @@ For the reading assignments we use the following abbreviations:
 
 ###  Week 41 October 11-15
 - Lab Wednesday: Work on project 2
-- Lecture Thursday: Deep learning and Neural Networks
+- Lecture Thursday: Deep learning and Neural Networks, developing a code for Neural Networks
   - Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage
-- Lecture Friday: Convolutional Neural Networks, basic elements
+- Lecture Friday: Tensorflow and the mathematics of neural network
+  - Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage
 - Reading recommendations:
   - See lecture notes for week 41 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
   - For neural networks we recommend Goodfellow et al chapters 6 and 7. For CNNs, see Goodfellow et al chapter 9. chapter 11 and 12 on practicalities and applications