Deep Learning, Machine Learning, Artificail Intelligence, Neural Networks, Activation Functions.
popular in regression classification problems. The sigmoid function gives value in the range of 0 and 1. sigmoid function Code to implement: def sigmoid(x): return 1 / (1 + m.exp(-x)) values_of_sigmoid = [] values_of_x = [] for i in range(-500,500,1): i = i*0.01 values_of_x.append(i)