Discussion
The activation levels of node in neural network depends on the activation function chosen. If it is a sigmoid function, then activation levels are :
Answer: A
The activation levels lie in [0, 1].
The logistic sigmoid \(f(x) = \frac{1}{1 + e^{-x}}\) maps any real input into the range 0 to 1, approaching 0 for large negative x and 1 for large positive x.
An unrestricted or minus to plus infinity range belongs to linear activations, and the discrete values 0 (or -1) and 1 are produced by step (threshold) functions, not by a sigmoid.
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