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<li> These lecture notes at <ahref="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 <ahref="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> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <ahref="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>
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<li> Video on Deep Learning at <ahref="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 <ahref="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 <ahref="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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<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 <ahref="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> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <ahref="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>
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<p><li> Video on Deep Learning at <ahref="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> These lecture notes at <ahref="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 <ahref="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> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <ahref="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>
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<li> Video on Deep Learning at <ahref="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 <ahref="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 <ahref="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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<li> These lecture notes at <ahref="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 <ahref="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> Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at <ahref="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>
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<li> Video on Deep Learning at <ahref="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 <ahref="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 <ahref="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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