From 9acc24f4c1d148d89347d76d8b271df4c6f479a3 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Sat, 3 Oct 2020 21:49:40 +0200 Subject: [PATCH] added video link --- doc/src/week40/week40.do.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/src/week40/week40.do.txt b/doc/src/week40/week40.do.txt index bf5a77ac2..45ddcb73b 100644 --- a/doc/src/week40/week40.do.txt +++ b/doc/src/week40/week40.do.txt @@ -7,7 +7,7 @@ DATE: today ===== Plan for week 40 ===== * Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks. "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober1.mp4?vrtx=view-as-webpage" -* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model +* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model. "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober2.mp4?vrtx=view-as-webpage" Reading suggestions for both days: "Aurelien Geron's chapter 10":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" and Hastie et al chapter 11. For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text.