Question: 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

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

I.How many layers are required in a neural network to model any

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1 With two hidden layers the network is able to represent an arbitrary decision boundary to arbitrary accuracy HiddenLayer Recap First lets review some important points about hidden nodes in neural ne... View full answer

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