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
2023-09-28 14:41:17 +02:00
parent 6374c6dd23
commit 26d709a70d
6 changed files with 1186 additions and 739 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/pub/week39/html/week39-reveal.html
+1 -1
View File
@@ -228,7 +228,7 @@ MathJax.Hub.Config({
<p><li> Stochastic Gradient descent with examples and automatic differentiation</li>
<p><li> <a href="https://youtu.be/" target="_blank">Video of lecture</a></li>
<p><li> <a href="https://youtu.be/bFRVuIJroHs" target="_blank">Video of lecture</a></li>
<p><li> Whiteboard notes TBA at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf</tt></a></li>
doc/pub/week39/html/week39-solarized.html
+1 -1
View File
@@ -364,7 +364,7 @@ MathJax.Hub.Config({
<ul>
<li> 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</li>
<li> Stochastic Gradient descent with examples and automatic differentiation</li>
<li> <a href="https://youtu.be/" target="_blank">Video of lecture</a></li>
<li> <a href="https://youtu.be/bFRVuIJroHs" target="_blank">Video of lecture</a></li>
<li> Whiteboard notes TBA at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf</tt></a></li>
<li> Readings and Videos:</li>
<ul>
doc/pub/week39/html/week39.html
+1 -1
View File
@@ -441,7 +441,7 @@ MathJax.Hub.Config({
<ul>
<li> 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</li>
<li> Stochastic Gradient descent with examples and automatic differentiation</li>
<li> <a href="https://youtu.be/" target="_blank">Video of lecture</a></li>
<li> <a href="https://youtu.be/bFRVuIJroHs" target="_blank">Video of lecture</a></li>
<li> Whiteboard notes TBA at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf</tt></a></li>
<li> Readings and Videos:</li>
<ul>
doc/pub/week39/ipynb/ipynb-week39-src.tar.gz
BIN
View File
Binary file not shown.
doc/pub/week39/ipynb/week39.ipynb
+1182 -735
View File
File diff suppressed because one or more lines are too long
doc/src/week39/week39.do.txt
+1 -1
View File
@@ -19,7 +19,7 @@ These sections summarize neatly what we have done till now and point to what is
!bblock Material for the lecture on Thursday September 28
* 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
* Stochastic Gradient descent with examples and automatic differentiation
* "Video of lecture":"https://youtu.be/"
* "Video of lecture":"https://youtu.be/bFRVuIJroHs"
* Whiteboard notes TBA at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep28.pdf"
* Readings and Videos:
* These lecture notes