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Morten Hjorth-Jensen
2022-10-04 17:40:13 +02:00
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@@ -93,7 +93,7 @@ For the reading assignments we use the following abbreviations:
- Video of lecture at https://youtu.be/rDBj50Lv3Go
* Friday: Stochastic Gradient descent with examples and automatic differentiation
- Video of lecture at https://youtu.be/OH6I_oscwPc
* 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.
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@@ -8,7 +8,7 @@ DATE: today
* 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
* "Video of lecture":"https://youtu.be/rDBj50Lv3Go"
* Friday: Stochastic Gradient descent with examples and automatic differentiation
* "Video of lecture":"https://youtu.be/OH6I_oscwPc"
* Reading recommendations:
See "lecture notes for week 39":"https://compphysics.github.io/MachineLearning/doc/web/course.html".