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:
Dec. 21, 2021

Filed:

Apr. 13, 2021
Applicant:

Stradvision, Inc., Pohang-si, KR;

Inventors:

Hongmo Je, Pohang-si, KR;

Yongjoong Kim, Pohang-si, KR;

Dongkyu Yu, Pohang-si, KR;

Sung An Gweon, Seoul, KR;

Assignee:

Stradvision, Inc., Pohang-si, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G06K 9/6257 (2013.01); G06N 20/00 (2019.01);
Abstract

A method for performing on-device learning of embedded machine learning network of autonomous vehicle by using multi-stage learning with adaptive hyper-parameter sets is provided. The processes include: (a) dividing the current learning into a 1-st stage learning to an n-th stage learning, assigning 1-st stage training data to n-th stage training data, generating a 1_1-st hyper-parameter set candidate to a 1_h-th hyper-parameter set candidate, training the embedded machine learning network in the 1-st stage learning, and determining a 1-st adaptive hyper-parameter set; (b) generating a k_1-st hyper-parameter set candidate to a k_h-th hyper-parameter set candidate, training the (k−1)-th stage-completed machine learning network in the k-th stage learning, and determining a k-th adaptive hyper-parameter set; and (c) generating an n-th adaptive hyper-parameter set, and executing the n-th stage learning, to thereby complete the current learning.


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