lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

added video link

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2020-10-03 21:49:40 +02:00
parent efe95f0007
commit 9acc24f4c1
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/src/week40/week40.do.txt
+1 -1
View File
@@ -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.