Reading material
Books
A very nice and gentle introduction (based on TensorFlow and Keras) is provided in the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
You can find the excercises to the book (for free) here:
Papers
Eur. Phys. J. C 79 (2019): ATLAS b-jet identification performance and efficiency measurement with tt events in pp collisions at √s = 13 TeV
ATL-PHYS-PUB-2020-014: Deep Sets based Neural Networks for Impact Parameter Flavour Tagging in ATLAS
ATL-PHYS-PUB-2017-010: Variable Radius, Exclusive-kT, and Center-of-Mass Subjet Reconstruction for Higgs(→bb) Tagging in ATLAS
Presentations
Overview of flavour tagging algorithms in ATLAS
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