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:

May. 21, 2020
Applicant:

Dimaag-ai, Inc., Fremont, CA (US);

Inventors:

Nagarjun Pogakula Surya, Bangalore, IN;

Gomathi Sankar, Bangalore, IN;

Fuk Ho Pius Ng, Portland, OR (US);

Satish Padmanabhan, Sunnyvale, CA (US);

Assignee:

DIMAAG-AI, Inc., Fremont, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/086 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/086 (2013.01); G06N 3/045 (2023.01);
Abstract

Systems and methods are disclosed for training a previously trained neural network with incremental dataset. Original train data is provided to a neural network and the neural network is trained based on the plurality of classes in the sets of training data and/or testing data. The connected representation and the weights of the neural network is the model of the neural network. The trained model is to be updated for an incremental train data. The embodiments provide a process by which the trained model is updated for the incremental train data. This process creates a ground truth for the original training data and trains on the combined set of original train data and the incremental train data. The incremental training is tested on a test data to conclude the training and to generate the incremental trained model, minimizing the knowledge learned with the original data. Thus, the results remain consistent with the original model trained by the original dataset except the incremental train data.


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