From b3eff4b19aba5c148a773e67168551dd4c0a6145 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Tue, 4 Oct 2022 17:40:13 +0200 Subject: [PATCH] update --- doc/LectureNotes/schedule.md | 2 +- doc/src/week39/week39.do.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/LectureNotes/schedule.md b/doc/LectureNotes/schedule.md index 7a1bca191..f6cd147c1 100644 --- a/doc/LectureNotes/schedule.md +++ b/doc/LectureNotes/schedule.md @@ -93,7 +93,7 @@ For the reading assignments we use the following abbreviations: - Video of lecture at https://youtu.be/rDBj50Lv3Go * Friday: Stochastic Gradient descent with examples and automatic differentiation - + - Video of lecture at https://youtu.be/OH6I_oscwPc * 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. diff --git a/doc/src/week39/week39.do.txt b/doc/src/week39/week39.do.txt index 97c5fa7ea..5d73e4cc7 100644 --- a/doc/src/week39/week39.do.txt +++ b/doc/src/week39/week39.do.txt @@ -8,7 +8,7 @@ DATE: today * 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" * Reading recommendations: See "lecture notes for week 39":"https://compphysics.github.io/MachineLearning/doc/web/course.html".