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stupid typo

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Morten Hjorth-Jensen
2024-10-28 08:52:13 +01:00
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doc/LectureNotes/week44.ipynb
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doc/pub/week44/html/._week44-bs001.html
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<ul>
<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>
<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>
<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>
<li> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch14" target="_self"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch14</tt></a>.</li>
<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>
<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>
<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>
doc/pub/week44/html/week44-reveal.html
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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>
<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>
<p><li> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch14" target="_blank"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch14</tt></a>.</li>
<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>
doc/pub/week44/html/week44-solarized.html
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@@ -297,7 +297,7 @@ MathJax.Hub.Config({
<ul>
<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>
<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>
<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>
<li> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch14" target="_blank"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch14</tt></a>.</li>
<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>
<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>
<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>
doc/pub/week44/html/week44.html
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@@ -374,7 +374,7 @@ MathJax.Hub.Config({
<ul>
<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>
<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>
<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>
<li> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch14" target="_blank"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch14</tt></a>.</li>
<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>
<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>
<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>
doc/pub/week44/ipynb/ipynb-week44-src.tar.gz
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doc/pub/week44/ipynb/week44.ipynb
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doc/src/week44/week44.do.txt
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@@ -11,7 +11,7 @@ o Convolutional Neural Networks
o Readings and Videos:
* These lecture notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb"
* 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
* 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".
* Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at URL:"https://github.com/rasbt/machine-learning-book/tree/main/ch14".
* Video on Deep Learning at URL:"https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi"
* Video on Convolutional Neural Networks from MIT at URL:"https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini"
* Video on CNNs from Stanford at URL:"https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering"