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How to train ANN(Artificial Neural Network Part-2)

Hello friends today we are going to train the ANN to more accuracy values for Wights (W1,W2,W3) print ("asinment") import numpy as np from scipy import optimize from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt import matplotlib.pyplot as plt1 import sys sys.setrecursionlimit(500) class Neural_Network(object):     def __init__(self):         self.inputLayerSize = 3         self.outputLayerSize = 1         self.hiddenLayer1Size = 4         self.hiddenLayer2Size = 3         #Weights (parameters)         self.W1 = np.random.randn(self.inputLayerSize, self.hiddenLayer1Size)         self.W2 = np.random.randn(self.hiddenLayer1Size,self.hiddenLayer2Size)         self.W3 = np.random.randn(self.hiddenLayer2Size, self.outputLayerSize)         #weights values ...

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