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update with links

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Morten Hjorth-Jensen
2023-11-09 17:51:29 +01:00
parent f8ae58377d
commit b37c49c413
7 changed files with 321 additions and 1888 deletions
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doc/pub/week45/html/._week45-bs001.html
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@@ -241,6 +241,8 @@ MathJax.Hub.Config({
<li> Readings and Videos:</li>
<ul>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/z0x-vgyAZUk" target="_self">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_self">Whiteboard notes</a></li>
<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 10. See also chapter 11 and 12 on practicalities and applications</li>
<ul>
<li> Reading suggestions for implementation of RNNs: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapter 14</a>.</li>
doc/pub/week45/html/week45-reveal.html
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@@ -229,6 +229,10 @@ MathJax.Hub.Config({
<p><li> These lecture notes</li>
<p><li> <a href="https://youtu.be/z0x-vgyAZUk" target="_blank">Video of lecture</a></li>
<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_blank">Whiteboard notes</a></li>
<p><li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 10. See also chapter 11 and 12 on practicalities and applications</li>
<ul>
doc/pub/week45/html/week45-solarized.html
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@@ -229,6 +229,8 @@ MathJax.Hub.Config({
<li> Readings and Videos:</li>
<ul>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/z0x-vgyAZUk" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_blank">Whiteboard notes</a></li>
<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 10. See also chapter 11 and 12 on practicalities and applications</li>
<ul>
<li> Reading suggestions for implementation of RNNs: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapter 14</a>.</li>
doc/pub/week45/html/week45.html
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@@ -306,6 +306,8 @@ MathJax.Hub.Config({
<li> Readings and Videos:</li>
<ul>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/z0x-vgyAZUk" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_blank">Whiteboard notes</a></li>
<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 10. See also chapter 11 and 12 on practicalities and applications</li>
<ul>
<li> Reading suggestions for implementation of RNNs: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapter 14</a>.</li>
doc/pub/week45/ipynb/ipynb-week45-src.tar.gz
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doc/src/week45/week45.do.txt
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@@ -18,6 +18,8 @@ DATE: November 6-10
* Recurrent Neural Networks (RNNs)
* Readings and Videos:
* These lecture notes
* "Video of lecture":"https://youtu.be/z0x-vgyAZUk"
* "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf"
* For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 10. See also chapter 11 and 12 on practicalities and applications
* Reading suggestions for implementation of RNNs: "Aurelien Geron's chapter 14":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf".
* "Video on Recurrent Neural Networks from MIT":"https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini"