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:
Jul. 11, 2023

Filed:

Jun. 25, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Oliver Willers, Korb, DE;

Sebastian Sudholt, Neuenstadt Am Kocher, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 20/20 (2019.01); G06N 7/01 (2023.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06N 20/20 (2019.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01);
Abstract

A method for training an artificial neural network, in particular a Bayesian neural network, by way of training data sets, having a step of adapting the parameters of the artificial neural network depending on a loss function, the loss function encompassing a first term that represents an estimate of a lower bound of the distances between the classifications of the training data sets by the artificial neural network and the expected classifications of the training data sets. The loss function further encompasses a second term that is configured in such a way that differences in the aleatoric uncertainty in the training data sets over different samples of the artificial neural network are regulated.


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