What is meant by generalized in statement “backpropagation is a generalized delta rule” ?
(a) because delta rule can be extended to hidden layer units
(b) because delta is applied to only input and output layers, thus making it more simple and generalized
(c) it has no significance
(d) none of the mentioned
I got this question at a job interview.
My doubt is from Backpropagation Algorithm in division Feedforward Neural Networks of Neural Networks