Update schedule.md

2022-09-27 14:52:48 +02:00
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@@ -89,16 +89,13 @@ For the reading assignments we use the following abbreviations:

 ###  Week 39 September 26-30
 - Lab Wednesday: Work on  Project 1
- Lecture Thursday: Gradient Optimization methods
-  - Video of Lecture at 
- Lecture Friday:  Gradient methods
-  - Video of Lecture at 
- Reading recommendations:
+- Lecture Thursday: * 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
+* Friday: Stochastic Gradient descent with examples and automatic differentiation
+
+* 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.

-
-
 ###  Week 40 October 3-7
 - 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