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update of slides

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Morten Hjorth-Jensen
2019-11-18 23:06:06 +01:00
parent 594cb29f02
commit ab241aa0f4
9 changed files with 16 additions and 21 deletions
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doc/pub/svm/html/._svm-bs000.html
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@@ -174,7 +174,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Nov 16, 2019</h4></center> <!-- date -->
<center><h4>Nov 18, 2019</h4></center> <!-- date -->
<br>
<p>
doc/pub/svm/html/._svm-bs009.html
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@@ -159,9 +159,8 @@ MathJax.Hub.Config({
<p>
The equations we discussed above can be coded rather easily (the
framework is rather similar to what we developed for logistic
regression). We use the standard moons example to set up our data
set. We want to find a line which separates the two classes
framework is similar to what we developed for logistic
regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
<p>
<!-- code=python (!bc pycod) typeset with pygments style "default" -->
doc/pub/svm/html/svm-bs.html
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@@ -174,7 +174,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Nov 16, 2019</h4></center> <!-- date -->
<center><h4>Nov 18, 2019</h4></center> <!-- date -->
<br>
<p>
doc/pub/svm/html/svm-reveal.html
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>&nbsp;<br>
<center><h4>Nov 16, 2019</h4></center> <!-- date -->
<center><h4>Nov 18, 2019</h4></center> <!-- date -->
<br>
<p>
@@ -471,9 +471,8 @@ where \( \eta \) is our by now well-known learning rate.
<p>
The equations we discussed above can be coded rather easily (the
framework is rather similar to what we developed for logistic
regression). We use the standard moons example to set up our data
set. We want to find a line which separates the two classes
framework is similar to what we developed for logistic
regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
<p>
<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
doc/pub/svm/html/svm-solarized.html
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@@ -110,7 +110,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Nov 16, 2019</h4></center> <!-- date -->
<center><h4>Nov 18, 2019</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -398,9 +398,8 @@ where \( \eta \) is our by now well-known learning rate.
<p>
The equations we discussed above can be coded rather easily (the
framework is rather similar to what we developed for logistic
regression). We use the standard moons example to set up our data
set. We want to find a line which separates the two classes
framework is similar to what we developed for logistic
regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
<p>
<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
doc/pub/svm/html/svm.html
+3 -4
View File
@@ -115,7 +115,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Nov 16, 2019</h4></center> <!-- date -->
<center><h4>Nov 18, 2019</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -403,9 +403,8 @@ where \( \eta \) is our by now well-known learning rate.
<p>
The equations we discussed above can be coded rather easily (the
framework is rather similar to what we developed for logistic
regression). We use the standard moons example to set up our data
set. We want to find a line which separates the two classes
framework is similar to what we developed for logistic
regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
<p>
<!-- code=python (!bc pycod) typeset with pygments style "default" -->