A stochastic implementation method of an activation function for an artificial neural network and a system including the same

摘要

The present invention relates to implementing an activation function for an artificial neural network. Specifically, the present invention can implement four different types of active functions by adjusting comparator inputs constituting the artificial neural network. It is possible to implement the activation function without an analog-to-digital converter.