2.6 Which of the following statements is/are true?

To perform regression using MLPs, non-linear activation functions might be required in

the hidden layer but generally, no non-linear activation function is required for the

output layer.

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If you would want to predict an age of a person, we can use ReLU activation function in

the output layer.→→

For a regression problem, in which the output value is always within a range of values,

we could use sigmoid or tanh function and scale the values to ensure it is in the bounded

range.