[ [ [ [ [px[pb in plain englishy is weighted sum of the input features [ to [ ]weighted by the learned coefficients [ to [pwe could visualize this graphically as shown in figure - in[ ]display(mglearn plots plot_logistic_regression_graph()figure - visualization of logistic regressionwhere input features and predictions are shown as nodesand the coefficients are connections between the nodes hereeach node on the left represents an input featurethe connecting lines represent the learned coefficientsand the node on the right represents the outputwhich is weighted sum of the inputs in an mlp this process of computing weighted sums is repeated multiple timesfirst computing hidden units that represent an intermediate processing stepwhich are again combined using weighted sums to yield the final result (figure - )in[ ]display(mglearn plots plot_single_hidden_layer_graph()supervised machine learning algorithms