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@@ -365,7 +365,7 @@ MathJax.Hub.Config({
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</center>
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<center>
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<h4>October 28-November 1 </h4>
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<h4>October 28</h4>
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</center> <!-- date -->
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<br>
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@@ -361,7 +361,7 @@ MathJax.Hub.Config({
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<ul>
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<li> These lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb</tt></a></li>
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<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications</li>
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<li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14" target="_self"><tt>Rashcka et al.'s chapter 14</tt></a>:"https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14 at URL:" target="_self"><tt>Rashcka et al.'s chapter 14 at URL:</tt></a>https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<li> Video on Deep Learning at <a href="https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi" target="_self"><tt>https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi</tt></a></li>
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<li> Video on Convolutional Neural Networks from MIT at <a href="https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini" target="_self"><tt>https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini</tt></a></li>
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<li> Video on CNNs from Stanford at <a href="https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering" target="_self"><tt>https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering</tt></a></li>
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@@ -365,7 +365,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>October 28-November 1 </h4>
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<h4>October 28</h4>
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</center> <!-- date -->
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<br>
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@@ -181,7 +181,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>October 28-November 1 </h4>
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<h4>October 28</h4>
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</center> <!-- date -->
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<br>
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@@ -206,7 +206,7 @@ MathJax.Hub.Config({
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<p><li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications</li>
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<p><li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14" target="_blank"><tt>Rashcka et al.'s chapter 14</tt></a>:"https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<p><li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14 at URL:" target="_blank"><tt>Rashcka et al.'s chapter 14 at URL:</tt></a>https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<p><li> Video on Deep Learning at <a href="https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi" target="_blank"><tt>https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi</tt></a></li>
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@@ -282,7 +282,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>October 28-November 1 </h4>
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<h4>October 28</h4>
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</center> <!-- date -->
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<br>
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@@ -298,7 +298,7 @@ MathJax.Hub.Config({
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<ul>
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<li> These lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb</tt></a></li>
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<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications</li>
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<li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14" target="_blank"><tt>Rashcka et al.'s chapter 14</tt></a>:"https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14 at URL:" target="_blank"><tt>Rashcka et al.'s chapter 14 at URL:</tt></a>https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<li> Video on Deep Learning at <a href="https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi" target="_blank"><tt>https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi</tt></a></li>
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<li> Video on Convolutional Neural Networks from MIT at <a href="https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini" target="_blank"><tt>https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini</tt></a></li>
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<li> Video on CNNs from Stanford at <a href="https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering" target="_blank"><tt>https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering</tt></a></li>
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@@ -359,7 +359,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>October 28-November 1 </h4>
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<h4>October 28</h4>
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</center> <!-- date -->
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<br>
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@@ -375,7 +375,7 @@ MathJax.Hub.Config({
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<ul>
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<li> These lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb</tt></a></li>
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<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications</li>
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<li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14" target="_blank"><tt>Rashcka et al.'s chapter 14</tt></a>:"https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<li> Reading suggestions for implementation of CNNs see <a href="Rashcka et al.'s chapter 14 at URL:" target="_blank"><tt>Rashcka et al.'s chapter 14 at URL:</tt></a>https://github.com/rasbt/machine-learning-book/tree/main/ch14".</li>
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<li> Video on Deep Learning at <a href="https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi" target="_blank"><tt>https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi</tt></a></li>
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<li> Video on Convolutional Neural Networks from MIT at <a href="https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini" target="_blank"><tt>https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini</tt></a></li>
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<li> Video on CNNs from Stanford at <a href="https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering" target="_blank"><tt>https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering</tt></a></li>
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TITLE: Week 44, Convolutional Neural Networks (CNN)
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo, Norway
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DATE: October 28-November 1
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DATE: October 28
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!split
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@@ -11,7 +11,7 @@ o Convolutional Neural Networks
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o Readings and Videos:
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* These lecture notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb"
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* For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications
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* Reading suggestions for implementation of CNNs see URL:"Rashcka et al.'s chapter 14":"https://github.com/rasbt/machine-learning-book/tree/main/ch14".
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* Reading suggestions for implementation of CNNs see URL:"Rashcka et al.'s chapter 14 at URL:"https://github.com/rasbt/machine-learning-book/tree/main/ch14".
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* Video on Deep Learning at URL:"https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi"
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* Video on Convolutional Neural Networks from MIT at URL:"https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini"
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* Video on CNNs from Stanford at URL:"https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering"
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