True or False: The forward-and-backward computation among the three layers of a multilayer
perceptron is repeated until the output layer detects that the difference between the predicted
results and the target values has been minimized or is at an acceptable level.

Question

Quizplus · Accepted Answer

The forward-and-backward computation in a multilayer perceptron is part of the training process, where the network adjusts its weights to minimize the error between predicted results and target values, continuing until the error is minimized or reaches an acceptable level.

True or False: the Forward-And-Backward Computation Among the Three Layers