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. ☐ 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.