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===== Plan for week 40 =====
* Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks
* Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks. "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober1.mp4?vrtx=view-as-webpage"
* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
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.