From 9c2091a526abf31b53289c3982497f1fb88a9da6 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Tue, 27 Sep 2022 14:52:48 +0200 Subject: [PATCH] Update schedule.md --- doc/LectureNotes/schedule.md | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/doc/LectureNotes/schedule.md b/doc/LectureNotes/schedule.md index 6201c12ff..7587fa9bc 100644 --- a/doc/LectureNotes/schedule.md +++ b/doc/LectureNotes/schedule.md @@ -89,16 +89,13 @@ For the reading assignments we use the following abbreviations: ### Week 39 September 26-30 - Lab Wednesday: Work on Project 1 -- Lecture Thursday: Gradient Optimization methods - - Video of Lecture at -- Lecture Friday: Gradient methods - - Video of Lecture at -- Reading recommendations: +- Lecture Thursday: * 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 +* Friday: Stochastic Gradient descent with examples and automatic differentiation + +* Reading recommendations: - See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html. - For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well. - - ### Week 40 October 3-7 - Lab Wednesday: Wrap up project 1 - Lecture Thursday: Stochastic gradient descent, automatic differentiation and start discussion of feed-forward Neural Network code for regression and classification