1. Use a three layer neural network to classify the two sets of 3-D data set. You should generate 100 samples for each data set based on the following criteria: Data set 1: generate real numbers with X ranges from 2 to 3; Y ranges from 2 to 3; and Z ranges from 0 to 1. Data set 2: generate real numbers with X ranges from 0.5 to 1.5; Y ranges from 0.5 to 1.5; and Z ranges from 0 to 1. Plot your initial and final data sets.