Derivation of backpropogation November 25, 2017May 10, 2020Archit Vora Quick Summary: 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. Share this:Tweet Print (Opens in new window) Print Share on WhatsApp (Opens in new window) WhatsApp Email a link to a friend (Opens in new window) Email Like Loading... Related