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US Patent 10223635 Model compression and fine-tuning

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Date Filed
September 4, 2015
Date of Patent
March 5, 2019
Patent Application Number
14846579
Patent Citations Received
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US Patent 11972108 Parameter redundancy reduction method
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US Patent 11620435 Domain specific model compression
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US Patent 11651198 Data processing method and apparatus for neural network
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US Patent 11663476 Method and device for providing compression and transmission of training parameters in distributed processing environment
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US Patent 11842265 Processor chip and control methods thereof
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US Patent 11948062 Compressed recurrent neural network models
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US Patent 11462033 Method and system for performing classification of real-time input sample using compressed classification model
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US Patent 10716089 Deployment of trained neural network based RSS fingerprint dataset
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US Patent 11604647 Mixed precision capable hardware for tuning a machine learning model
Patent Inventor Names
David Jonathan Julian
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Venkata Sreekanta Reddy Annapureddy
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Daniel Hendricus Franciscus Dijkman
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10223635
Patent Primary Examiner
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Dave Misir

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