The sigmoid function is a function often used in machine learning, and is expressed as follows.
Graphically, it is as follows.
The advantage of the sigmoid function is that it can be made to operate like a step response. Generally, step responses are often expressed by dividing them into cases as shown below,
which makes them nonlinear and difficult to handle, but the sigmoid function can also be differentiated and is easy to handle.