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

update

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2023-10-05 16:32:17 +02:00
parent 4b847a0d95
commit ec511fb068
7 changed files with 760 additions and 673 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/src/week40/week40.do.txt
+3 -1
View File
@@ -18,7 +18,9 @@ DATE: October 2-6, 2023
!bblock Material for the lecture on Thursday October 5, 2023
* Stochastic Gradient descent with examples and automatic differentiation
* Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.
* Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.
* "Video of lecture":"https://youtu.be/75pr3hKY20U"
* "Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf"
* Readings and Videos:
* These lecture notes
* For a good discussion on gradient methods, we would like to recommend Goodfellow et al section 4.3-4.5 and sections 8.3-8.6. We will come back to the latter chapter in our discussion of Neural networks as well.