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:
Aug. 22, 2023

Filed:

Apr. 19, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Rahul A R, Bangalore, IN;

Neelamadhav Gantayat, Bangalore, IN;

Shreya Khare, Bangalore, IN;

Senthil K K Mani, Bangalore, IN;

Naveen Panwar, Bangalore, IN;

Anush Sankaran, Bangalore, IN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06N 3/10 (2006.01); G06N 5/022 (2023.01); G06F 30/20 (2020.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 30/20 (2020.01); G06N 3/105 (2013.01); G06N 5/022 (2013.01); G06F 2111/10 (2020.01);
Abstract

Methods, systems, and computer program products for multi-modal construction of deep learning networks are provided herein. A computer-implemented method includes extracting, from user-provided multi-modal inputs, one or more items related to generating a deep learning network; generating a deep learning network model, wherein the generating includes inferring multiple details attributed to the deep learning network model based on the one or more extracted items; creating an intermediate representation based on the deep learning network model, wherein the intermediate representation includes (i) one or more items of data pertaining to the deep learning network model and (ii) one or more design details attributed to the deep learning network model; automatically converting the intermediate representation into source code; and outputting the source code to at least one user.


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