Question

What is true regarding backpropagation rule?

(a) it is a feedback neural network

(b) actual output is determined by computing the outputs of units for each hidden layer

(c) hidden layers output is not all important, they are only meant for supporting input and output layers

(d) none of the mentioned

The question was posed to me in quiz.

This intriguing question comes from Backpropagation Algorithm topic in division Feedforward Neural Networks of Neural Networks

Answer 1

Correct answer is (b) actual output is determined by computing the outputs of units for each hidden layer

To explain I would say: In backpropagation rule, actual output is determined by computing the outputs of units for each hidden layer.