On the Backpropagation Mathematics tab, it goes into the derivation of the update rule for the output layer. Right before section 5, I was wondering about how it got from (y_j – t_j)y_j(1 – y_j)h_i to \delta_j h_i (not sure if we can input equations here). I think I’m unclear as to how \delta_j is defined, I assumed it was the error y_j – t_j, but then there’s an extra y_j(1 – y_j). Thanks!
HI Emily,
What you are referring to is the derivative of the L2-norm, I believe.
Either way, sending screenshots of the exact problems would be much better!
Best,
The 365 Team
HI Emily,
What you are referring to is the derivative of the L2-norm, I believe.
Either way, sending screenshots of the exact problems would be much better!
Best,
The 365 Team
^Here is a link to a screenshot of the image. I understood the separate components but not them together.