added link to video
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@@ -296,6 +296,7 @@ MathJax.Hub.Config({
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<li> Readings and Videos:</li>
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<ul>
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<li> These lecture notes</li>
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<li> <a href="https://youtu.be/0q5-PhovchQ" target="_self">Video of lecture</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapters 10-11</a></li>
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<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
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<li> <a href="https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs" target="_self">Neural Networks demystified</a></li>
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@@ -223,6 +223,8 @@ MathJax.Hub.Config({
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<p><li> These lecture notes</li>
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<p><li> <a href="https://youtu.be/0q5-PhovchQ" target="_blank">Video of lecture</a></li>
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<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a></li>
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<p><li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
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@@ -268,6 +268,7 @@ MathJax.Hub.Config({
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<li> Readings and Videos:</li>
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<ul>
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<li> These lecture notes</li>
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<li> <a href="https://youtu.be/0q5-PhovchQ" target="_blank">Video of lecture</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a></li>
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<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
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<li> <a href="https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs" target="_blank">Neural Networks demystified</a></li>
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@@ -345,6 +345,7 @@ MathJax.Hub.Config({
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<li> Readings and Videos:</li>
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<ul>
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<li> These lecture notes</li>
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<li> <a href="https://youtu.be/0q5-PhovchQ" target="_blank">Video of lecture</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a></li>
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<li> For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.</li>
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<li> <a href="https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs" target="_blank">Neural Networks demystified</a></li>
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@@ -17,6 +17,7 @@ DATE: October 16-20, 2023
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* Building our own Feed-forward Neural Network and discussion of project 2
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* Readings and Videos:
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* These lecture notes
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* "Video of lecture":"https://youtu.be/0q5-PhovchQ"
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* "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf"
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* For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.
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* "Neural Networks demystified":"https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs"
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