week39

2020-09-21 22:22:08 +02:00
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 * Thursday: Repetition of Logistic regression equations and discussion of Gradient methods
 * Friday: Stochastic Gradient descent with examples and automatic differeantion

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+Reading suggestions for both days: "Aurelien Geron's chapter 4":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" and "Murphy sections 8.3 and 8.5":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/MachineLearningMurphy.pdf" 
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 ===== Thursday September 24 =====

+"Overview Video, why do we care about gradient methods?":""
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 ===== Optimization, the central part of any Machine Learning algortithm =====

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 ===== Friday September 25 =====

+"Overview Video, why stochastic gradient methods?":""

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 ===== Stochastic Gradient Descent =====