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Morten Hjorth-Jensen
2022-10-07 15:35:18 +02:00
parent 4951b2d0b3
commit 6d319c591f
9 changed files with 830 additions and 472 deletions
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doc/pub/week40/html/._week40-bs000.html
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</center>
<br>
<center>
<h4>Oct 6, 2022</h4>
<h4>Oct 7, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week40/html/._week40-bs001.html
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<li> <a href="https://youtu.be/sCHiGSoG2lE" target="_self">Video of lecture</a></li>
</ul>
<li> Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model. Presentation of project 2.</li>
<ul>
<li> <a href="https://youtu.be/hDTtA7PRRfI" target="_self">Video of lecture</a></li>
</ul>
</ul>
<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapter 10</a> and Hastie et al chapter 11.
For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text.
doc/pub/week40/html/week40-bs.html
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@@ -327,7 +327,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 6, 2022</h4>
<h4>Oct 7, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week40/html/week40-reveal.html
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@@ -184,7 +184,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 6, 2022</h4>
<h4>Oct 7, 2022</h4>
</center> <!-- date -->
<br>
@@ -205,6 +205,11 @@ MathJax.Hub.Config({
</ul>
<p>
<p><li> Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model. Presentation of project 2.</li>
<ul>
<p><li> <a href="https://youtu.be/hDTtA7PRRfI" target="_blank">Video of lecture</a></li>
</ul>
<p>
</ul>
<p>
<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapter 10</a> and Hastie et al chapter 11.
doc/pub/week40/html/week40-solarized.html
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@@ -265,7 +265,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 6, 2022</h4>
<h4>Oct 7, 2022</h4>
</center> <!-- date -->
<br>
@@ -278,6 +278,9 @@ MathJax.Hub.Config({
<li> <a href="https://youtu.be/sCHiGSoG2lE" target="_blank">Video of lecture</a></li>
</ul>
<li> Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model. Presentation of project 2.</li>
<ul>
<li> <a href="https://youtu.be/hDTtA7PRRfI" target="_blank">Video of lecture</a></li>
</ul>
</ul>
<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapter 10</a> and Hastie et al chapter 11.
For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text.
doc/pub/week40/html/week40.html
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@@ -342,7 +342,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 6, 2022</h4>
<h4>Oct 7, 2022</h4>
</center> <!-- date -->
<br>
@@ -355,6 +355,9 @@ MathJax.Hub.Config({
<li> <a href="https://youtu.be/sCHiGSoG2lE" target="_blank">Video of lecture</a></li>
</ul>
<li> Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model. Presentation of project 2.</li>
<ul>
<li> <a href="https://youtu.be/hDTtA7PRRfI" target="_blank">Video of lecture</a></li>
</ul>
</ul>
<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapter 10</a> and Hastie et al chapter 11.
For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text.
doc/pub/week40/ipynb/ipynb-week40-src.tar.gz
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doc/pub/week40/ipynb/week40.ipynb
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doc/src/week40/week40.do.txt
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@@ -9,7 +9,7 @@ DATE: today
* Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.
* "Video of lecture":"https://youtu.be/sCHiGSoG2lE"
* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model. Presentation of project 2.
* "Video of lecture":"https://youtu.be/hDTtA7PRRfI"
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.