The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 23, 2023

Filed:

Jul. 20, 2017
Applicant:

Denso IT Laboratory, Inc., Tokyo, JP;

Inventor:

Mitsuru Ambai, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/38 (2006.01); G06N 3/08 (2023.01); G06F 17/16 (2006.01); G06N 3/04 (2023.01); G06N 3/063 (2023.01); G06N 3/045 (2023.01); G06N 3/048 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 17/16 (2013.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/048 (2023.01); G06N 3/063 (2013.01);
Abstract

A neural network apparatus () includes a storage unit () storing a neural network model, and an arithmetic unit () inputting input information into an input layer of the neural network and outputting an output layer. A weight matrix (W) of an FC layer of the neural network model is constituted by a product of a weight basis matrix (M) of integers and a weight coefficient matrix (C) of real numbers. In the FC layer, the arithmetic unit () uses an output vector from a previous layer as an input vector (x) to decompose the input vector (x) into a product of a binary input basis matrix (M) and an input coefficient vector (c) of real numbers and an input bias (b) and derives a product of the input vector (x) and a weight matrix (W).


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