公开(公告)号：US20220147800A1

公开(公告)日：2022-05-12

申请号：US17526628

申请日：2021-11-15

Applicant: Intel Corporation

Inventor： Julio ZAMORA ESQUIVEL ,  Hector CORDOURIER MARURI ,  Jose CAMACHO PEREZ ,  Paulo LOPEZ MEYER ,  Jesus Adan CRUZ VARGAS

IPC: G06N3/04 ,  G06N3/08

Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.

公开(公告)号：US20190042921A1

公开(公告)日：2019-02-07

申请号：US15924947

申请日：2018-03-19

Applicant: Intel Corporation

Inventor： Julio ZAMORA ESQUIVEL ,  Hector CORDOURIER MARURI ,  Jose CAMACHO PEREZ ,  Paulo LOPEZ MEYER ,  Jesus Adan CRUZ VARGAS

IPC: G06N3/04 ,  G06N3/08

Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.