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update with video link

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Morten Hjorth-Jensen
2024-09-30 12:57:28 +02:00
parent f16edab813
commit 1d3b17f7cc
7 changed files with 808 additions and 867 deletions
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doc/pub/week40/html/._week40-bs002.html
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@@ -368,9 +368,9 @@ MathJax.Hub.Config({
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
<ol>
<li> Stochastic Gradient descent with examples and automatic differentiation</li>
<li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
<!-- * <a href="https://youtu.be/75pr3hKY20U" target="_self">Video of lecture</a> -->
<!-- * "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></a> --></li>
<li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
<li> <a href="https://youtu.be/jdJoOrCIdII" target="_self">Video of lecture</a></li>
<li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>
</ol>
</div>
</div>
doc/pub/week40/html/week40-reveal.html
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@@ -205,9 +205,9 @@ MathJax.Hub.Config({
<p>
<ol>
<p><li> Stochastic Gradient descent with examples and automatic differentiation</li>
<p><li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
<!-- * <a href="https://youtu.be/75pr3hKY20U" target="_blank">Video of lecture</a> -->
<!-- * "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></a> --></li>
<p><li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
<p><li> <a href="https://youtu.be/jdJoOrCIdII" target="_blank">Video of lecture</a></li>
<p><li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>
</ol>
</div>
</section>
doc/pub/week40/html/week40-solarized.html
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@@ -320,9 +320,9 @@ MathJax.Hub.Config({
<p>
<ol>
<li> Stochastic Gradient descent with examples and automatic differentiation</li>
<li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
<!-- * <a href="https://youtu.be/75pr3hKY20U" target="_blank">Video of lecture</a> -->
<!-- * "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></a> --></li>
<li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
<li> <a href="https://youtu.be/jdJoOrCIdII" target="_blank">Video of lecture</a></li>
<li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>
</ol>
</div>
doc/pub/week40/html/week40.html
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@@ -397,9 +397,9 @@ MathJax.Hub.Config({
<p>
<ol>
<li> Stochastic Gradient descent with examples and automatic differentiation</li>
<li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
<!-- * <a href="https://youtu.be/75pr3hKY20U" target="_blank">Video of lecture</a> -->
<!-- * "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></a> --></li>
<li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
<li> <a href="https://youtu.be/jdJoOrCIdII" target="_blank">Video of lecture</a></li>
<li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>
</ol>
</div>
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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@@ -13,8 +13,8 @@ DATE: September 30-October 4, 2024
!bblock
o Stochastic Gradient descent with examples and automatic differentiation
o If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
# * "Video of lecture":"https://youtu.be/75pr3hKY20U"
# * "Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf"
o "Video of lecture":"https://youtu.be/jdJoOrCIdII"
o "Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf"
!eblock
!split