update week39

doc/src/week39/week39.do.txt

@@ -9,15 +9,16 @@ DATE: today
 * Friday: Stochastic Gradient descent with examples and automatic differeantion
 
 
-Reading suggestions for both days: "Aurelien Geron's chapter 4":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" and "Murphy sections 8.3 and 8.5":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/MachineLearningMurphy.pdf" 
+* Reading recommendations:
+
+See "lecture notes for week 39":"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.
 
 !split
-===== Thursday September 24 =====
+===== Thursday September 30 =====
 
 "Overview Video, why do we care about gradient methods?":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h20/forelesningsvideoer/OverarchingAimsWeek39.mp4?vrtx=view-as-webpage"
 
-"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureSeptember24.mp4?vrtx=view-as-webpage" and "link to handwritten notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/NotesSeptember24.pdf".
-
 
 !split
 ===== Optimization, the central part of any Machine Learning algortithm =====
@@ -391,9 +392,7 @@ Using the definition of convexity, try to show that a function satisfying the pr
 
 
 !split
-===== Friday September 25 =====
-
-"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureSeptember25.mp4?vrtx=view-as-webpage" and "link to handwritten notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/NotesSeptember25.pdf".
+===== Friday October  1 =====
 
 
 !split