As the author of this article... I have read maybe one textbook cover-to-cover in my life. :D
(Hands-on machine learning, by Geron, back when I made the jump math->ML.)
(Hands-on machine learning, by Geron, back when I made the jump math->ML.)
BTW, I spotted a typo in the first paragraph of your thesis abstract: "neural networks and differential equation are two sides".
Geron is good but now a bit out-of-date. No transformers (just CNNs/RNNs/etc.) and the coding component is all in scikit-learn and TensorFlow (rather than PyTorch or JAX).
FWIW I did ask this question recently over at https://twitter.com/PatrickKidger/status/1602776438159339521, in case any of the responses are helpful.