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For anyone trying to learn backpropagation but having trouble with math, I can't recommend Matt Mazur's "Step by Step" guide [0] enough. What is great is that he is using real numbers so that one can check implementation for correctness.

[0] https://mattmazur.com/2015/03/17/a-step-by-step-backpropagat...

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I used this recently when I was relearning NN theory (last time I looked at it before 2015 was the late 90's,) and I agree. It's a thorough walkthrough of the math that turned the lightbulbs back on enough for me to write a simple swift MLP NN without consulting other implementations.

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