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:
Dec. 25, 2018

Filed:

Mar. 30, 2017
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:
Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/00 (2006.01); G06K 9/62 (2006.01); G06T 5/20 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06N 99/00 (2010.01);
U.S. Cl.
CPC ...
G06T 5/20 (2013.01); G06K 9/6256 (2013.01); G06K 9/6269 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 99/005 (2013.01); G06T 2207/20084 (2013.01);
Abstract

System and method for layer-wise training of deep neural networks (DNNs) are disclosed. In an embodiment, multiple labelled images are received at a layer of multiple layers of a DNN. Further, the labelled images are pre-processed. The pre-processed images are then transformed based on a predetermined weight matrix to obtain feature representation of the pre-processed images at the layer, the feature representation comprise feature vectors and associated labels. Furthermore, kernel similarity between the feature vectors is determined based on a predefined kernel function. Moreover, a Gaussian kernel matrix is determined based on the kernel similarity. In addition, an error function is computed based on the predetermined weight matrix and the Gaussian kernel matrix. Also, a weight matrix associated with the layer is computed based on the error function and predetermined weight matrix, thereby training the layer of the multiple layers.


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