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update week 39

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Morten Hjorth-Jensen
2024-09-22 12:11:52 +02:00
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@@ -3,23 +3,28 @@ AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of
DATE: Week 39
!split
===== Plan for week 39 =====
===== Plan for week 39, September 23-27, 2024 =====
!split
===== Lecture Monday September 23 =====
!bblock Material for the lecture on Monday September 23
* 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
* Stochastic Gradient descent with examples and automatic differentiation
* "Video of lecture":"https://youtu.be/bFRVuIJroHs"
* Whiteboard notes TBA at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf"
* Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Examples on how to implement Logistic Regression and discussion of gradient methods
* Stochastic Gradient descent with examples and automatic differentiation (theme also for next week).
# * "Video of lecture":"https://youtu.be/bFRVuIJroHs"
# * Whiteboard notes TBA at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf"
* Readings and Videos:
* These lecture notes
* For a good discussion on gradient methods, we would like to recommend Goodfellow et al section 4.3-4.5 and sections 8.3-8.6. We will come back to the latter chapter in our discussion of Neural networks as well.
* For a good discussion on gradient methods, we would like to recommend Goodfellow et al section 4.3-4.5 and sections 8.3-8.6. We will come back to the latter chapter in our discussion of Neural networks as well.
* Raschka et al, pages 53-76 on Logistic regression and pages 37-52 on gradient optimization
* "Video on gradient descent":"https://www.youtube.com/watch?v=sDv4f4s2SB8"
* "Video on stochastic gradient descent":"https://www.youtube.com/watch?v=vMh0zPT0tLI"
!eblock
!split
===== Lab sessions week 39 =====
!bblock Material for the active learning sessions on Tuesday and Wednesday
* Discussions on how to structure your report for the first project