Derivation of backpropogation

Quick Summary:

 

 

back_prop

 

Detailed Derivation:

 

 

Even if you look at gradient descent below, error is multiplied by previous value. When input is higher it’s contribution to error is higher and will needs to change more.

gd

 

Leave a comment