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Morten Hjorth-Jensen
2023-10-15 21:55:49 +02:00
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@@ -20,7 +20,7 @@ DATE: October 16-20, 2023
* "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf"
* For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7.
* "Neural Networks demystified":"https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs"
* "Building Neural Networks from scratch":"https://www.youtube.com/watch?v=Wo5dMEP_BbI&list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3&ab_channel=sentdex
* "Building Neural Networks from scratch":"https://www.youtube.com/watch?v=Wo5dMEP_BbI&list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3&ab_channel=sentdex"
* "Video on Neural Networks":"https://www.youtube.com/watch?v=CqOfi41LfDw"
* "Video on the back propagation algorithm":"https://www.youtube.com/watch?v=Ilg3gGewQ5U"
I also recommend Michael Nielsen's intuitive approach to the neural networks and the universal approximation theorem, see the slides at URL:"http://neuralnetworksanddeeplearning.com/chap4.html".