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:
Jun. 13, 2023

Filed:

Oct. 29, 2018
Applicants:

Robert Bosch Gmbh, Stuttgart, DE;

Carnegie Mellon University, Pittsburgh, PA (US);

Inventors:

Jeremy Zico Kolter, Pittsburgh, PA (US);

Eric Wong, Lexington, MA (US);

Frank R. Schmidt, Stuttgart, DE;

Jan Hendrik Metzen, Boeblingen, DE;

Assignees:

Robert Bosch GmbH, Stuttgart, DE;

Carnegie Mellon University, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06N 20/00 (2019.01); G06N 3/045 (2023.01); G06N 3/048 (2023.01); G06N 3/088 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/045 (2023.01); G06N 3/048 (2023.01); G06N 20/00 (2019.01); G06N 3/088 (2013.01);
Abstract

A method for training an automated learning system includes processing training input with a first neural network and processing the output of the first neural network with a second neural network. The input layer of the second neural network corresponding to the output layer of the first neural network. The output layer of the second neural network corresponding to the input layer of the first neural network. An objective function is determined using the output of the second neural network and a predetermined modification magnitude. The objective function is approximated using random Cauchy projections which are propagated through the second neural network.


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