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Question at position 7 What activation functions are commonly used in hidden layers of neural networks? (Select all possible answers)SigmoidReLUSoftmaxTanhLinearUnit Step

Options
A.Sigmoid
B.ReLU
C.Softmax
D.Tanh
E.Linear
F.Unit Step
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To tackle this question, I will examine each option in the given list of possible activation functions and assess whether it is commonly used in the hidden layers of neural networks. Option: Sigmoid Reasoning: The sigmoid function maps inputs to the (0,1) range and has historically been used in hidden layers, especially in earlier networks. It can introduce nonlinearity, but it has drawbacks like vanishing gradients for deep networks. Nevertheless, it is indeed a commonly cited activation function for hidden layers in some a......Login to view full explanation

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