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Morten Hjorth-Jensen
2023-05-30 21:56:08 +02:00
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TITLE: Week 39: Optimization and Gradient Methods
AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University
DATE: today
DATE: Week 39
!split
===== Plan for week 39 =====
* Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Examples on how to implement Logistic Regression and discussion of stochastic gradient descent
* "Video of lecture":"https://youtu.be/rDBj50Lv3Go"
* Friday: Stochastic Gradient descent with examples and automatic differentiation
* "Video of lecture":"https://youtu.be/OH6I_oscwPc"
* Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Examples on how to implement Logistic Regression and discussion of stochastic gradient descent
* Stochastic Gradient descent with examples and automatic differentiation
* Reading recommendations:
See "lecture notes for week 39":"https://compphysics.github.io/MachineLearning/doc/web/course.html".