Fine tuning of trained artificial neural network

Abstract

Systems and methods for fine tuning a trained artificial neural network (ANN) are provided. An example method may include receiving a description of the neurons, a first set of first parameters for the neurons and a second set of second parameters for the neurons; acquiring a plurality of inputs to the neurons, the inputs including first inputs associated with the first set of first parameters and second inputs associated with the second set of second parameters; obtaining first values correlating the first inputs and the second inputs; obtaining second values correlating the first inputs and the second inputs being weighted partially by the first parameters or the second parameters; and determining, based on the first values and the second values, a third set of third parameters to minimize a distance between neurons outputs determined based on the first parameters and neurons outputs determined based the third parameters.