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:
Mar. 16, 2021

Filed:

Nov. 17, 2020
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Majid Jahani, Bethlehem, PA (US);

Joshua David Griffin, Harrisburg, NC (US);

Seyedalireza Yektamaram, Amsterdam, NL;

Wenwen Zhou, Cary, NC (US);

Assignee:

SAS INSTITUTE INC., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 3/08 (2006.01); G06F 17/16 (2006.01); G06K 9/62 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 17/16 (2013.01); G06K 9/6228 (2013.01); G06N 5/046 (2013.01); G06N 20/10 (2019.01);
Abstract

A computer trains a neural network model. (A) Observation vectors are randomly selected from a plurality of observation vectors. (B) A forward and backward propagation of a neural network is executed to compute a gradient vector and a weight vector. (C) A search direction vector is computed. (D) A step size value is computed. (E) An updated weight vector is computed. (F) Based on a predefined progress check frequency value, second observation vectors are randomly selected, a progress check objective function value is computed given the weight vector, the step size value, the search direction vector, and the second observation vectors, and based on an accuracy test, the mini-batch size value is updated. (G) (A) to (F) are repeated until a convergence parameter value indicates training of the neural network is complete. The weight vector for a next iteration is the computed updated weight vector.


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