Backpropagation requires the of vector pairs, with the pairs consisting of:
A) an input vector and a control vector.
B) binary input vectors.
C) a control vector and a target vector.
D) an input vector and a target vector.

Question

Quizplus · Accepted Answer

Backpropagation, a fundamental algorithm for training neural networks, requires pairs consisting of an input vector and a target vector. The input vector is what is fed into the network, and the target vector is the desired output, allowing the network to adjust its weights based on the error between its actual output and the target.

Backpropagation Requires the of Vector Pairs, with the Pairs Consisting