1. Develop a multi-layer neural network to solve the regression problem: f(x) = 1/x. Be sure to create a testing and training set. In the interest of time, it is not necessary to use K-Fold cross-validation, although the student may do so at his/her discretion. The number of hidden layers and neurons should be determined using the generalization error technique. Plot this error for the different models to show why you chose the final model that you did for this problem. Report your network configuration, and comment on your observations regarding the performance of your network as you try to determine the number of hidden layers and hidden nodes of your final network, once you determine the correct model: