Lecture 07. Neural Networks Part II - clairedavid/ml_in_hep GitHub Wiki

https://yogayu.github.io/DeepLearningCourse/intro.html

Source Neural Network Loss Functions https://programmathically.com/an-introduction-to-neural-network-loss-functions/

Stats Exchange Question Derivation of Recursive equation NN https://stats.stackexchange.com/questions/157129/how-to-derive-the-recursive-equation-for-back-propagation-for-neural-networks-fo

Lukas Heinrich's Autom Diff Tutorial (PyHEP 2020) https://indico.cern.ch/event/882824/timetable/#45-introduction-to-automatic-d

Thesis "Modularity in Artificial Neural Networks" http://eprints.nottingham.ac.uk/65658/1/PhD_Thesis.pdf