after training done, you can make it like
Q = np.array(([4, 8]), dtype=float) print "Input: \n" + str(Q) print "Predicted Output: \n" + str(NN.forward(Q))
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after training done, you can make it like
Q = np.array(([4, 8]), dtype=float)
print "Input: \n" + str(Q)
print "Predicted Output: \n" + str(NN.forward(Q))