Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
value most, it assigns some weights to each feature, which helps it understand which feature is most important among the given ones. Now, it tries to devise a formula, like say for a regression problem, Equation 1 Here w1,w2, w3 are the weights of there corresponding features like x1,x2, x3 and b