From 4e65ccffec11d0a3b5a123badf32be4b87256710 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Tue, 18 Oct 2022 15:04:19 +0200 Subject: [PATCH] update --- doc/LectureNotes/schedule.md | 4 ++-- doc/src/week41/week41.do.txt | 1 + 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/doc/LectureNotes/schedule.md b/doc/LectureNotes/schedule.md index 633054de4..fc188fae5 100644 --- a/doc/LectureNotes/schedule.md +++ b/doc/LectureNotes/schedule.md @@ -112,9 +112,9 @@ For the reading assignments we use the following abbreviations: ### Week 41 October 10-14 - Lab Wednesday: Work on project 2 - Lecture Thursday: Deep learning and Neural Networks, developing a code for Neural Networks - - Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage + - Video of Lecture at https://youtu.be/yzbxJI6LgL0 - Lecture Friday: Tensorflow and the mathematics of neural network - - Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage + - Video of Lecture at - Reading recommendations: - See lecture notes for week 41 at https://compphysics.github.io/MachineLearning/doc/web/course.html. - For neural networks we recommend Goodfellow et al chapters 6 and 7. For CNNs, see Goodfellow et al chapter 9. chapter 11 and 12 on practicalities and applications diff --git a/doc/src/week41/week41.do.txt b/doc/src/week41/week41.do.txt index d8dc65c86..579279ec3 100644 --- a/doc/src/week41/week41.do.txt +++ b/doc/src/week41/week41.do.txt @@ -7,6 +7,7 @@ DATE: today ===== Plan for week 41 ===== * Thursday: Building our own Feed-forward Neural Network and discussion of project 2. + * "Video of lecture":"https://youtu.be/yzbxJI6LgL0" * Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks. Reading suggestions for both days: These notes, "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf".