you can see the following graphs as the output of the code discussed till nowmulti-layer neural networks in this examplewe are creating multi-layer neural network that consists of more than one layer to extract the underlying patterns in the training data this multilayer neural network will work like regressor we are going to generate some data points based on the equationy import the necessary packages as shownimport numpy as np import matplotlib pyplot as plt import neurolab as nl generate some data point based on the above mentioned equationmin_val - max_val num_points np linspace(min_valmax_valnum_pointsy np square( /np linalg norm(ynowreshape this data set as follows