update of week 40
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@@ -6,8 +6,8 @@ DATE: today
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!split
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===== Plan for week 40 =====
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* Thursday: Stochastic Gradient descent with examples and automatic differeantion and begin Neural Networks
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* Friday: Neural Networks, setting up the basic steps
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* Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks
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* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
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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.
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For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text.
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