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doc/src/week40/week40.do.txt

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@@ -6,11 +6,12 @@ DATE: September 29-October 3, 2025
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===== Lecture Monday September 30, 2024 =====
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o Stochastic Gradient descent with examples and automatic differentiation
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o If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
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o "Video of lecture":"https://youtu.be/jdJoOrCIdII"
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o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf"
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o Logistic regression and gradient descent, examples on how to code
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o Stochastic Gradient descent and automatic differentiation, examples using Logistic regression
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o Start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
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# o "Video of lecture":"https://youtu.be/jdJoOrCIdII"
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# o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf"
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