I.How many layers are required in a neural network to model any Boolean function of arbitrary complexity?

 II.Explain in your own words with appropriate examples that neural networks are universal approximators 

III.Consider the shape given below and draw a neural network that would exactly model the decision boundary. You must write the equations of every neuron