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US Patent 10402720 Decomposing convolution operation in neural networks

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Patent Citations Received
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US Patent 12131507 Low rank matrix compression
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US Patent 11922314 Systems and methods for building dynamic reduced order physical models
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Patent abstract

A method of training a neural network includes encouraging one or more filters in the neural network to have a low rank.

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Patent Inventor Names
Venkata Sreekanta Reddy Annapureddy0
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Official Website
https://pdfpiw.uspto.gov/.piw?Docid=104027200
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Patent Citations Received
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US Patent 11620766 Low rank matrix compression
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Patent Citations Received
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US Patent 11037330 Low rank matrix compression
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Infobox
Is a
Patent
Patent
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104027200
Date of Patent
September 3, 2019
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Patent Application Number
145260460
Date Filed
October 28, 2014
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Official Website
https://pdfpiw.uspto.gov/.piw?Docid=104027200
Patent Citations Received
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US Patent 11010691 Distributable event prediction and machine learning recognition system
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US Patent 11037330 Low rank matrix compression
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Patent Primary Examiner
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Luis A Sitiriche
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https://pdfpiw.uspto.gov/.piw?Docid=10402720
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Patent citations received
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US Patent 11037330 Low rank matrix compression
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Patent citations received
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US Patent 11010691 Distributable event prediction and machine learning recognition system
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 US Patent 10402720 Decomposing convolution operation in neural networks

Infobox
Is a
Patent
Patent
Patent jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent number
10402720
Date of patent
September 3, 2019
Patent application number
14526046
Date Filed
October 28, 2014
Patent primary examiner
‌
Luis A Sitiriche

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