Question: In the context of MLPs , how does increasing the number of hidden layers affect its classification capability? Group of answer choices It turns the

In the context of MLPs, how does increasing the number of hidden layers affect its classification capability?
Group of answer choices
It turns the MLP into a non-universal approximator
It reduces the computational complexity
It allows the MLP to learn more complex decision boundaries
It always improves classification accuracy

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