公开(公告)号：US12271812B2

公开(公告)日：2025-04-08

申请号：US17251508

申请日：2019-07-18

Applicant: TELECOM ITALIA S.p.A.

Inventor： Attilio Fiandrotti ,  Gianluca Francini ,  Skjalg Lepsoy ,  Enzo Tartaglione

IPC: G06N3/08 ,  G05D1/00 ,  G06N3/04

Abstract: A method includes providing a neural network having a set of weights. The neural network receives an input data structure for generating a corresponding output array according to values of the set of weights. The neural network is trained to obtain a trained neural network. The training includes setting values of the set of weights with a gradient descent algorithm which exploits a cost function including a loss term and a regularization term. The trained neural network is deployed on a device through a communication network, and used by the device. The regularization term is based on a rate of change of elements of the output array caused by variations of the set of weights values.