The sigmoid function also called the logistic function, is traditionally a very popular activation function for neural networks.
Sigmoid takes a real value as input and transforms it to output another value **between 0 and 1. **Inputs that are much larger than 1 are transformed to the value 1, similarly, values much smaller than 0are snapped to 0.
The sigmoid function was introduced in a series of three papers by Pierre Francios Verhulst between 1838 and 1847, who devised it as a model of population growth by adjusting the exponential growth model. under the guidance of Adolphe Quetelet.
source: Wikipedia
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