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Morten Hjorth-Jensen
2022-10-19 07:28:21 +02:00
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doc/src/week42/week42.do.txt
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@@ -39,6 +39,15 @@ In our discussions of ordinary differential equations
we will also study the usage of "Autograd":"https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from "week 39":"https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" and the "Autograd documentation":"https://github.com/HIPS/autograd".
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===== Back propagation and automatic differentiation =====
For more details on the back propagation algorithm and automatic differentiation see
o URL:"https://www.jmlr.org/papers/volume18/17-468/17-468.pdf"
o URL:"https://deepimaging.github.io/lectures/lecture_11_Backpropagation.pdf"
o Slides 12-44 at URL":http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture4.pdf"
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===== Solving ODEs with Deep Learning =====