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update wih video

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Morten Hjorth-Jensen
2022-10-19 06:57:18 +02:00
parent fb269f5bfc
commit 713e666c41
8 changed files with 311 additions and 1836 deletions
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doc/pub/week41/html/._week41-bs000.html
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@@ -477,7 +477,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 18, 2022</h4>
<h4>Oct 19, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week41/html/._week41-bs001.html
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@@ -467,8 +467,12 @@ MathJax.Hub.Config({
<li> <a href="https://youtu.be/yzbxJI6LgL0" target="_self">Video of lecture</a></li>
</ul>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li>
<ul>
<li> "Video of lecture":"https://youtu.be/CPj4mh7M9no</li>
</ul>
<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapters 10-11</a>.
</ul>
<p>"
Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapters 10-11</a>.
For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
</p>
doc/pub/week41/html/week41-bs.html
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@@ -477,7 +477,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 18, 2022</h4>
<h4>Oct 19, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week41/html/week41-reveal.html
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@@ -184,7 +184,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 18, 2022</h4>
<h4>Oct 19, 2022</h4>
</center> <!-- date -->
<br>
@@ -205,9 +205,15 @@ MathJax.Hub.Config({
</ul>
<p>
<p><li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li>
<ul>
<p><li> "Video of lecture":"https://youtu.be/CPj4mh7M9no</li>
</ul>
<p>
<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
</ul>
<p>
<p>"
Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
</p>
</section>
doc/pub/week41/html/week41-solarized.html
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@@ -376,7 +376,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 18, 2022</h4>
<h4>Oct 19, 2022</h4>
</center> <!-- date -->
<br>
@@ -389,8 +389,12 @@ MathJax.Hub.Config({
<li> <a href="https://youtu.be/yzbxJI6LgL0" target="_blank">Video of lecture</a></li>
</ul>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li>
<ul>
<li> "Video of lecture":"https://youtu.be/CPj4mh7M9no</li>
</ul>
<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
</ul>
<p>"
Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
</p>
doc/pub/week41/html/week41.html
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@@ -453,7 +453,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 18, 2022</h4>
<h4>Oct 19, 2022</h4>
</center> <!-- date -->
<br>
@@ -466,8 +466,12 @@ MathJax.Hub.Config({
<li> <a href="https://youtu.be/yzbxJI6LgL0" target="_blank">Video of lecture</a></li>
</ul>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li>
<ul>
<li> "Video of lecture":"https://youtu.be/CPj4mh7M9no</li>
</ul>
<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
</ul>
<p>"
Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
</p>
doc/pub/week41/ipynb/ipynb-week41-src.tar.gz
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doc/pub/week41/ipynb/week41.ipynb
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