Question: Why is it important to use non - linear activation functions in neural networks? Group of answer choices Non - linear activation functions reduce the

Why is it important to use non-linear activation functions in neural networks?
Group of answer choices
Non-linear activation functions reduce the computational complexity
Non-linear activation functions improve numerical stability
Non-linear activation functions accelerate the convergence speed of the network
Non-linear activation functions help the network approximate complex relationships in data

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