This commit is contained in:
Morten Hjorth-Jensen
2022-10-18 15:08:25 +02:00
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@@ -112,9 +112,9 @@ For the reading assignments we use the following abbreviations:
### Week 41 October 10-14
- Lab Wednesday: Work on project 2
- Lecture Thursday: Deep learning and Neural Networks, developing a code for Neural Networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage
- Video of Lecture at https://youtu.be/yzbxJI6LgL0
- Lecture Friday: Tensorflow and the mathematics of neural network
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage
- Video of Lecture at
- Reading recommendations:
- See lecture notes for week 41 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For neural networks we recommend Goodfellow et al chapters 6 and 7. For CNNs, see Goodfellow et al chapter 9. chapter 11 and 12 on practicalities and applications
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@@ -674,12 +674,12 @@ const thebe_selector_output = ".output, .cell_output"
<li><p>Lab Wednesday: Work on project 2</p></li>
<li><p>Lecture Thursday: Deep learning and Neural Networks, developing a code for Neural Networks</p>
<ul>
<li><p>Video of Lecture at <a class="reference external" href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage</a></p></li>
<li><p>Video of Lecture at <a class="reference external" href="https://youtu.be/yzbxJI6LgL0">https://youtu.be/yzbxJI6LgL0</a></p></li>
</ul>
</li>
<li><p>Lecture Friday: Tensorflow and the mathematics of neural network</p>
<ul>
<li><p>Video of Lecture at <a class="reference external" href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage</a></p></li>
<li><p>Video of Lecture at</p></li>
</ul>
</li>
<li><p>Reading recommendations:</p>
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@@ -477,7 +477,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 15, 2022</h4>
<h4>Oct 18, 2022</h4>
</center> <!-- date -->
<br>
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@@ -463,6 +463,9 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<ul>
<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>
<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>.
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@@ -477,7 +477,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 15, 2022</h4>
<h4>Oct 18, 2022</h4>
</center> <!-- date -->
<br>
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@@ -184,7 +184,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 15, 2022</h4>
<h4>Oct 18, 2022</h4>
</center> <!-- date -->
<br>
@@ -199,6 +199,11 @@ MathJax.Hub.Config({
<ul>
<p><li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<ul>
<p><li> <a href="https://youtu.be/yzbxJI6LgL0" target="_blank">Video of lecture</a></li>
</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>
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@@ -376,7 +376,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 15, 2022</h4>
<h4>Oct 18, 2022</h4>
</center> <!-- date -->
<br>
@@ -385,6 +385,9 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<ul>
<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>
<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>.
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@@ -453,7 +453,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Oct 15, 2022</h4>
<h4>Oct 18, 2022</h4>
</center> <!-- date -->
<br>
@@ -462,6 +462,9 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<ul>
<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>
<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>.
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