1
$\begingroup$

I'm currently working on constructing a neural network from scratch (in JavaScript). I'm in the middle of working on the backpropagation, but there's something I don't understand: how does the backprop algorithm know which weights to change or which paths to take? The way I did it, it always took all of the paths/weights and changed them all. So how does the algorithm know which paths to take, which weights to change, and whether to add or subtract X amount from said weight?

$\endgroup$
1
  • 3
    $\begingroup$ Basically using chain rule. Check this video and if it is your taste, the following one on the playlist with the mathematical details to get a better understanding of the process. This one might also help. $\endgroup$
    – serali
    Oct 6 '21 at 12:40

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.