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Morten Hjorth-Jensen
2022-10-09 05:34:29 +02:00
parent 979e39488b
commit bc34db795e
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doc/pub/week41/html/._week41-bs000.html
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[1] <b>Department of Physics, University of Oslo</b>
</center>
<center>
[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
</center>
<br>
<center>
<h4>Oct 8, 2022</h4>
<h4>Oct 9, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week41/html/._week41-bs001.html
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<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<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: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapters 10-11</a>.
<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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@@ -468,11 +468,11 @@ MathJax.Hub.Config({
[1] <b>Department of Physics, University of Oslo</b>
</center>
<center>
[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
</center>
<br>
<center>
<h4>Oct 8, 2022</h4>
<h4>Oct 9, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week41/html/week41-reveal.html
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[1] <b>Department of Physics, University of Oslo</b>
</center>
<center>
[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
</center>
<br>
<center>
<h4>Oct 8, 2022</h4>
<h4>Oct 9, 2022</h4>
</center> <!-- date -->
<br>
@@ -202,7 +202,7 @@ MathJax.Hub.Config({
<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>
<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
<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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[1] <b>Department of Physics, University of Oslo</b>
</center>
<center>
[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
</center>
<br>
<center>
<h4>Oct 8, 2022</h4>
<h4>Oct 9, 2022</h4>
</center> <!-- date -->
<br>
@@ -383,7 +383,7 @@ MathJax.Hub.Config({
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<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: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
<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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@@ -445,11 +445,11 @@ MathJax.Hub.Config({
[1] <b>Department of Physics, University of Oslo</b>
</center>
<center>
[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
</center>
<br>
<center>
<h4>Oct 8, 2022</h4>
<h4>Oct 9, 2022</h4>
</center> <!-- date -->
<br>
@@ -460,7 +460,7 @@ MathJax.Hub.Config({
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<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: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
<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/src/week41/week41.do.txt
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TITLE: Week 41 Constructing a Neural Network code, Tensor flow and start Convolutional Neural Networks
AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University
DATE: today
@@ -9,7 +9,7 @@ DATE: today
* Thursday: Building our own Feed-forward Neural Network and discussion of project 2.
* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.
Reading suggestions for both days: "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf".
Reading suggestions for both days: These notes, "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. Bishop's chapter 5 on Neural Networks is an additional good read.
!split