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US Patent 11269529 Neural network data processing apparatus, method and electronic device

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
112695291
Patent Inventor Names
Yupeng Li1
Haoyang Li1
Yuan Ruan1
Date of Patent
March 8, 2022
1
Patent Application Number
168930441
Date Filed
June 4, 2020
1
Patent Citations
‌
US Patent 10869036 Receptive-field-conforming convolutional models for video coding
1
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US Patent 10796220 Systems and methods for vectorized FFT for multi-dimensional convolution operations
1
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US Patent 10924755 Real time end-to-end learning system for a high frame rate video compressive sensing network
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US Patent 10621486 Method for optimizing an artificial neural network (ANN)
1
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US Patent 10778412 Multi-domain convolutional neural network
Patent Primary Examiner
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Cheng Yuan Tseng
1
Patent abstract

A neural network data processing apparatus includes: an instruction parsing module, configured to split a DMA task into multiple subtasks and acquire configuration information of a data sub-block corresponding to each subtask, where the subtasks are in a one-to-one correspondence with data sub-blocks of transported neural network data; a data reading module, configured to read a first data sub-block according to the configuration information, where the first data sub-block is a data sub-block among data sub-blocks corresponding to multiple subtasks; a data processing module, configured to compress the first data sub-block; a data write-out module, configured to output compressed data resulting from the compression of the first data sub-block.

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