US 12,067,477 B2
Multi-layer neural networks using symmetric tensors
Julio Zamora Esquivel, Zapopan Jal (MX); Hector Cordourier Maruri, Jal (MX); Jose Camacho Perez, Jalisco Jal (MX); Paulo Lopez Meyer, Jal (MX); and Jesus Adan Cruz Vargas, Jal (MX)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Nov. 15, 2021, as Appl. No. 17/526,628.
Application 17/526,628 is a continuation of application No. 15/924,947, filed on Mar. 19, 2018, granted, now 11,205,114.
Prior Publication US 2022/0147800 A1, May 12, 2022
Int. Cl. G06N 3/048 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01)
CPC G06N 3/048 (2023.01) [G06N 3/08 (2013.01); G06N 3/084 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for implementing a neural network system, the method comprising:
identifying, by the neural network system, a higher order neural network;
identifying, by the neural network system, inputs for a second order neuron of the higher order neural network;
identifying, by the neural network system, a symmetric tensor;
combining, by the neural network system, the identified inputs for the second order neuron with the identified symmetric tensor; and
outputting, by the neural network system, the combined inputs.