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@@ -93,7 +93,7 @@ For the reading assignments we use the following abbreviations:
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- Video of lecture at https://youtu.be/rDBj50Lv3Go
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* Friday: Stochastic Gradient descent with examples and automatic differentiation
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- Video of lecture at https://youtu.be/OH6I_oscwPc
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* Reading recommendations:
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- See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
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- 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
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* 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
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* "Video of lecture":"https://youtu.be/rDBj50Lv3Go"
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* Friday: Stochastic Gradient descent with examples and automatic differentiation
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* "Video of lecture":"https://youtu.be/OH6I_oscwPc"
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* Reading recommendations:
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See "lecture notes for week 39":"https://compphysics.github.io/MachineLearning/doc/web/course.html".
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