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Morten Hjorth-Jensen
2022-09-29 15:24:43 +02:00
parent da4b20036f
commit 760bbe1092
6 changed files with 1129 additions and 691 deletions
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doc/pub/week39/html/week39-reveal.html
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@@ -199,6 +199,11 @@ MathJax.Hub.Config({
<ul>
<p><li> Thursday: 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>
<ul>
<p><li> <a href="https://youtu.be/rDBj50Lv3Go" target="_blank">Video of lecture</a></li>
</ul>
<p>
<p><li> Friday: Stochastic Gradient descent with examples and automatic differentiation</li>
<p><li> Reading recommendations:</li>
</ul>
doc/pub/week39/html/week39-solarized.html
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<ul>
<li> Thursday: 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>
<ul>
<li> <a href="https://youtu.be/rDBj50Lv3Go" target="_blank">Video of lecture</a></li>
</ul>
<li> Friday: Stochastic Gradient descent with examples and automatic differentiation</li>
<li> Reading recommendations:</li>
</ul>
doc/pub/week39/html/week39.html
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@@ -391,6 +391,9 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: 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>
<ul>
<li> <a href="https://youtu.be/rDBj50Lv3Go" target="_blank">Video of lecture</a></li>
</ul>
<li> Friday: Stochastic Gradient descent with examples and automatic differentiation</li>
<li> Reading recommendations:</li>
</ul>
doc/pub/week39/ipynb/ipynb-week39-src.tar.gz
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doc/pub/week39/ipynb/week39.ipynb
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doc/src/week39/week39.do.txt
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@@ -6,6 +6,7 @@ DATE: today
===== Plan for week 39 =====
* Thursday: 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
* "Video of lecture":"https://youtu.be/rDBj50Lv3Go"
* Friday: Stochastic Gradient descent with examples and automatic differentiation
* Reading recommendations: