The weights and inputs are multiplied and return an output between 0 and one. Should the network did not correctly understand a certain sample, an algorithm would adjust the weights.[one hundred forty four] This way the algorithm may make specific parameters more influential, right until it decides the correct mathematical manipulation to totally a