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Morten Hjorth-Jensen
2022-10-07 15:35:18 +02:00
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@@ -9,7 +9,7 @@ DATE: today
* Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.
* "Video of lecture":"https://youtu.be/sCHiGSoG2lE"
* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model. Presentation of project 2.
* "Video of lecture":"https://youtu.be/hDTtA7PRRfI"
Reading suggestions for both days: "Aurelien Geron's chapter 10":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" and Hastie et al chapter 11.
For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text.