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added whiteboard notes

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Morten Hjorth-Jensen
2023-10-19 23:18:45 +02:00
parent 79e87fb978
commit f028ec522c
7 changed files with 130 additions and 122 deletions
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doc/pub/week42/html/._week42-bs001.html
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@@ -297,6 +297,7 @@ MathJax.Hub.Config({
<ul>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/0q5-PhovchQ" target="_self">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct19.pdf" target="_self">Whiteboard notes</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapters 10-11</a></li>
<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
<li> <a href="https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs" target="_self">Neural Networks demystified</a></li>
doc/pub/week42/html/week42-reveal.html
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@@ -225,6 +225,8 @@ MathJax.Hub.Config({
<p><li> <a href="https://youtu.be/0q5-PhovchQ" target="_blank">Video of lecture</a></li>
<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct19.pdf" target="_blank">Whiteboard notes</a></li>
<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a></li>
<p><li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
doc/pub/week42/html/week42-solarized.html
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@@ -269,6 +269,7 @@ MathJax.Hub.Config({
<ul>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/0q5-PhovchQ" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct19.pdf" target="_blank">Whiteboard notes</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a></li>
<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
<li> <a href="https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs" target="_blank">Neural Networks demystified</a></li>
doc/pub/week42/html/week42.html
+1
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@@ -346,6 +346,7 @@ MathJax.Hub.Config({
<ul>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/0q5-PhovchQ" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct19.pdf" target="_blank">Whiteboard notes</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a></li>
<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
<li> <a href="https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs" target="_blank">Neural Networks demystified</a></li>
doc/pub/week42/ipynb/ipynb-week42-src.tar.gz
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doc/pub/week42/ipynb/week42.ipynb
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@@ -2060,7 +2062,7 @@
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@@ -2071,7 +2073,7 @@
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@@ -2084,7 +2086,7 @@
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@@ -2099,7 +2101,7 @@
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@@ -2111,7 +2113,7 @@
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@@ -2123,7 +2125,7 @@
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@@ -2136,7 +2138,7 @@
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@@ -2191,7 +2193,7 @@
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@@ -2220,7 +2222,7 @@
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@@ -2250,7 +2252,7 @@
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@@ -2277,7 +2279,7 @@
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@@ -2319,7 +2321,7 @@
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@@ -2330,7 +2332,7 @@
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@@ -2507,7 +2509,7 @@
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@@ -2535,7 +2537,7 @@
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@@ -2558,7 +2560,7 @@
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@@ -2589,7 +2591,7 @@
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@@ -2621,7 +2623,7 @@
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@@ -2659,7 +2661,7 @@
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@@ -2684,7 +2686,7 @@
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@@ -2696,7 +2698,7 @@
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@@ -2719,7 +2721,7 @@
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@@ -2739,7 +2741,7 @@
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@@ -2761,7 +2763,7 @@
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@@ -2779,7 +2781,7 @@
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@@ -2798,7 +2800,7 @@
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@@ -2810,7 +2812,7 @@
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@@ -2855,7 +2857,7 @@
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doc/src/week42/week42.do.txt
+1
View File
@@ -18,6 +18,7 @@ DATE: October 16-20, 2023
* Readings and Videos:
* These lecture notes
* "Video of lecture":"https://youtu.be/0q5-PhovchQ"
* "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct19.pdf"
* "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf"
* For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.
* "Neural Networks demystified":"https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs"