Data Science, Machine Learning, Deep Learning, Neural Networks, Activation Functions.
between 0 and 1. It does this by taking the input and squashing it between 0 and 1 using a mathematical function that can be differentiated. The shape of the Sigmoid Function’s curve is determined by the parameters of the function. The Sigmoid Function’s curve looks like an S-shape curve because of