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Morten Hjorth-Jensen
2023-10-26 15:30:36 +02:00
parent 2be470fed1
commit 8a7d32f497
7 changed files with 1267 additions and 833 deletions
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doc/pub/week43/html/week43-bs.html
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<ul>
<li> Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week</li>
<li> Solving differential equations with Neural Networks and intro to <b>Tensorflow</b> with examples.</li>
<li> <a href="https://youtu.be/_-AwbBh4G-8" target="_self">Video of lecture</a></li>
<li> Readings and Videos:</li>
<ul>
<li> These lecture notes</li>
doc/pub/week43/html/week43-reveal.html
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<p><li> Solving differential equations with Neural Networks and intro to <b>Tensorflow</b> with examples.</li>
<p><li> <a href="https://youtu.be/_-AwbBh4G-8" target="_blank">Video of lecture</a></li>
<p><li> Readings and Videos:</li>
<ul>
doc/pub/week43/html/week43-solarized.html
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<ul>
<li> Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week</li>
<li> Solving differential equations with Neural Networks and intro to <b>Tensorflow</b> with examples.</li>
<li> <a href="https://youtu.be/_-AwbBh4G-8" target="_blank">Video of lecture</a></li>
<li> Readings and Videos:</li>
<ul>
<li> These lecture notes</li>
doc/pub/week43/html/week43.html
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@@ -482,6 +482,7 @@ MathJax.Hub.Config({
<ul>
<li> Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week</li>
<li> Solving differential equations with Neural Networks and intro to <b>Tensorflow</b> with examples.</li>
<li> <a href="https://youtu.be/_-AwbBh4G-8" target="_blank">Video of lecture</a></li>
<li> Readings and Videos:</li>
<ul>
<li> These lecture notes</li>
doc/pub/week43/ipynb/ipynb-week43-src.tar.gz
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doc/pub/week43/ipynb/week43.ipynb
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doc/src/week43/week43.do.txt
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@@ -15,6 +15,7 @@ DATE: today
!bblock Material for the lecture on Thursday October 26, 2023
* Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week
* Solving differential equations with Neural Networks and intro to _Tensorflow_ with examples.
* "Video of lecture":"https://youtu.be/_-AwbBh4G-8"
* Readings and Videos:
* These lecture notes
* "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf"