## ################################################################################ import numpy as np from scipy import optimize from StringIO import StringIO import matplotlib.pyplot as plot from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm from neural_network import Neural_Network from trainer import Trainer NeuralNetwork = Neural_Network() #Pass to Trainer Data: X,Y = NeuralNetwork.readInputFile("input.txt") Y = np.reshape(Y, (3,1)) print ("Input : ") print (X) print ("Results : ") print (Y) #normalized training data X = NeuralNetwork.normalize(X) Y = Y/100 print ("Input : ") print (X) print ("Results :") print (Y)