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updating lecture material

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Morten Hjorth-Jensen
2025-10-05 18:37:37 +02:00
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doc/src/week41/Previousversions/week41.do.txt
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@@ -13,13 +13,13 @@ o Building our own Feed-forward Neural Network
# * Video of lecture notes at URL:"https://youtu.be/pMRUbf9E-gM"
# * Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesOctober7.pdf"
!bblock Readings and Videos:
o These lecture notes
o Rashcka et al chapter 11
o For neural networks we recommend Goodfellow et al chapter 6.
o Neural Networks demystified at URL:"https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs"
o Building Neural Networks from scratch at URL:"https://www.youtube.com/watch?v=Wo5dMEP_BbI&list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3&ab_channel=sentdex"
o Video on Neural Networks at URL:"https://www.youtube.com/watch?v=CqOfi41LfDw"
o Video on the back propagation algorithm at URL:"https://www.youtube.com/watch?v=Ilg3gGewQ5U"
o These lecture notes
o Rashcka et al chapter 11
o For neural networks we recommend Goodfellow et al chapter 6.
o Neural Networks demystified at URL:"https://www.youtube.com/watch?v=bxe2T-V8XRs&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&ab_channel=WelchLabs"
o Building Neural Networks from scratch at URL:"https://www.youtube.com/watch?v=Wo5dMEP_BbI&list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3&ab_channel=sentdex"
o Video on Neural Networks at URL:"https://www.youtube.com/watch?v=CqOfi41LfDw"
o Video on the back propagation algorithm at URL:"https://www.youtube.com/watch?v=Ilg3gGewQ5U"
We 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".
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@@ -34,7 +34,7 @@ We also recommend Michael Nielsen's intuitive approach to the neural networks a
!split
===== Lecture Monday October 7 =====
===== Lecture Monday October 6 =====
!split
===== Introduction to Neural networks =====