Question: Suppose a network with one hidden layer and linear activation functions has n input and output nodes and h hidden nodes. What effect does the

Suppose a network with one hidden layer and linear activation functions has n input and output nodes and h hidden nodes. What effect does the transformation in part

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to a network with no hidden layers have on the total number of weights? Discuss the case h

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