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:
Sep. 03, 2024

Filed:

Mar. 07, 2019
Applicant:

Nippon Telegraph and Telephone Corporation, Tokyo, JP;

Inventors:

Chihiro Watanabe, Tokyo, JP;

Kaoru Hiramatsu, Tokyo, JP;

Kunio Kashino, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06F 18/23 (2023.01); G06N 3/084 (2023.01); G06V 30/182 (2022.01); G06V 30/19 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/217 (2023.01); G06F 18/23 (2023.01); G06V 30/1823 (2022.01); G06V 30/19173 (2022.01); G06V 30/10 (2022.01);
Abstract

The present invention enables the structure of a neural network to be quantitatively analyzed. An analyzing unit calculates, for each of combinations of a dimension of input data and a cluster, a sum of squared errors between an output of each unit belonging to the cluster when a value of the dimension of the input data is replaced with an average value of the dimension of the input data included in learning data and an output of each unit belonging to the cluster for the input data before replacement as a relationship between the combinations, and calculates, for each of combinations of the cluster and a dimension of output data, a squared error between the value of the dimension of the output data when an output value of each unit belonging to the cluster is replaced with an average output value of each unit of the cluster when the input data included in the learning data was input and the value of the dimension of the output data before replacement as a relationship between the combinations.


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