Answer:
The sigmoid function is a special form of the logistic function and is usually denoted by σ (x) or sig (x). It is given by: σ (x) = 1/ (1+exp (-x)) . The sigmoid function has domain of all real numbers, with return (response) value commonly monotonically increasing but could be decreasing. Sigmoid functions most often show a return value (y axis) in the range 0 to 1 .
The numbers in the circle indicates the output of a neuron, and the number at the connection links indicate the value of the corresponding weight. You can use the sigmoid function as an activation functions. To compute the outputs y1, y2, y3, y4, and y5, you need to multiply each weight by its corresponding input and then add them up. Then you apply the sigmoid function to that sum to get each output .
Step-by-step explanation: