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mhjensen
2020-10-10 21:35:03 +02:00
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doc/pub/week41/html/._week41-bs000.html
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@@ -274,7 +274,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Oct 9, 2020</h4></center> <!-- date -->
<center><h4>Oct 10, 2020</h4></center> <!-- date -->
<br>
<p>
doc/pub/week41/html/._week41-bs001.html
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@@ -259,7 +259,7 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Building our own Feed-forward Neural Network. <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage" target="_self">Video of Lecture</a></li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN). <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOcotber9.mp4?vrtx=view-as-webpage" target="_self">Video of Lecture</a></li>
</ul>
Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
doc/pub/week41/html/week41-bs.html
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@@ -274,7 +274,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Oct 9, 2020</h4></center> <!-- date -->
<center><h4>Oct 10, 2020</h4></center> <!-- date -->
<br>
<p>
doc/pub/week41/html/week41-reveal.html
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>&nbsp;<br>
<center><h4>Oct 9, 2020</h4></center> <!-- date -->
<center><h4>Oct 10, 2020</h4></center> <!-- date -->
<br>
<p>
@@ -163,7 +163,7 @@ MathJax.Hub.Config({
<ul>
<p><li> Thursday: Building our own Feed-forward Neural Network. <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
<p><li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<p><li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN). <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOcotber9.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
</ul>
<p>
doc/pub/week41/html/week41-solarized.html
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@@ -202,7 +202,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Oct 9, 2020</h4></center> <!-- date -->
<center><h4>Oct 10, 2020</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -211,7 +211,7 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Building our own Feed-forward Neural Network. <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN). <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOcotber9.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
</ul>
Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
doc/pub/week41/html/week41.html
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@@ -207,7 +207,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Oct 9, 2020</h4></center> <!-- date -->
<center><h4>Oct 10, 2020</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -216,7 +216,7 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Building our own Feed-forward Neural Network. <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN). <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOcotber9.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
</ul>
Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
doc/pub/week41/ipynb/ipynb-week41-src.tar.gz
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doc/pub/week41/ipynb/week41.ipynb
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doc/src/week41/week41.do.txt
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@@ -7,7 +7,7 @@ DATE: today
===== Plan for week 41 =====
* Thursday: Building our own Feed-forward Neural Network. "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage"
* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).
* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN). "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOcotber9.mp4?vrtx=view-as-webpage"
Reading suggestions for both days: "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
extbooks/TensorflowML.pdf" and Hastie et al chapter 11.