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Morten Hjorth-Jensen
2022-10-06 15:00:45 +02:00
parent 15acce0eeb
commit 5213c3f51d
9 changed files with 226 additions and 209 deletions
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doc/pub/week40/html/._week40-bs000.html
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@@ -327,7 +327,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 3, 2022</h4>
<h4>Oct 6, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week40/html/._week40-bs001.html
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<h2 id="plan-for-week-40" class="anchor">Plan for week 40 </h2>
<ul>
<li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<ul>
<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>
<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.
doc/pub/week40/html/week40-bs.html
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@@ -327,7 +327,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 3, 2022</h4>
<h4>Oct 6, 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 3, 2022</h4>
<h4>Oct 6, 2022</h4>
</center> <!-- date -->
<br>
@@ -198,7 +198,12 @@ MathJax.Hub.Config({
<h2 id="plan-for-week-40">Plan for week 40 </h2>
<ul>
<p><li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<p><li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<ul>
<p><li> <a href="https://youtu.be/sCHiGSoG2lE" target="_blank">Video of lecture</a></li>
</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>
doc/pub/week40/html/week40-solarized.html
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@@ -265,7 +265,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 3, 2022</h4>
<h4>Oct 6, 2022</h4>
</center> <!-- date -->
<br>
@@ -273,7 +273,10 @@ MathJax.Hub.Config({
<h2 id="plan-for-week-40">Plan for week 40 </h2>
<ul>
<li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<ul>
<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>
<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.html
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@@ -342,7 +342,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 3, 2022</h4>
<h4>Oct 6, 2022</h4>
</center> <!-- date -->
<br>
@@ -350,7 +350,10 @@ MathJax.Hub.Config({
<h2 id="plan-for-week-40">Plan for week 40 </h2>
<ul>
<li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<li> Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.</li>
<ul>
<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>
<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/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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@@ -6,7 +6,8 @@ DATE: today
!split
===== Plan for week 40 =====
* Thursday: Repetion and summary of Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks.
* 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.