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Neural network data processing method and apparatus

A neural network and data technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as large data throughput and storage space occupation

Pending Publication Date: 2021-05-11
SAMSUNG ELECTRONICS CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, only part of the data of the neural network (e.g., intermediate data of operations, weights, training data sets, etc.)

Method used

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  • Neural network data processing method and apparatus
  • Neural network data processing method and apparatus
  • Neural network data processing method and apparatus

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Embodiment Construction

[0042] Reference will now be made in detail to embodiments, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like elements throughout. In this regard, the present embodiments may have different forms and should not be construed as being limited to the descriptions set forth herein. Accordingly, the embodiments are merely described below, by referring to the figures, to explain aspects. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items. Expressions such as "at least one of," when preceding a list of elements, modify the entire list of elements and do not modify the individual elements of the list.

[0043] Terms used herein are selected to be commonly used by those of ordinary skill in the art in consideration of the functions of the present embodiment, but may be changed according to technical intentions, precedents, or disclosure of new technologies. In ad...

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Abstract

A method and apparatus for processing data of a neural network are provided. The method comprises: obtaining one or more bit representations of data for processing a neural network from a memory and / or a neural network processor; generating a plurality of candidate configuration files based on the one or more bit representations; determining a final profile by comparing the compression performance of each of the candidate profiles; determining an optimal configuration for compressing the data of the neural network based on the determined final configuration file, and compressing the data of the neural network by using the determined optimal configuration; and storing the compressed data of the neural network to the memory.

Description

[0001] This application claims U.S. Provisional Application No. 62 / 930,029 filed with the United States Patent and Trademark Office on November 04, 2019 and Korean Patent Application No. 10-2020-0136124 filed at the Korean Intellectual Property Office on October 20, 2020 , the disclosures of said U.S. Provisional Application and Korean Patent Application are hereby incorporated by reference in their entirety. technical field [0002] The present disclosure relates to methods and devices for processing data for neural networks. Background technique [0003] A neural network represents a computational architecture that simulates a biological brain. Recently, with the development of neural network technology, various electronic systems have been actively researched to analyze input data and extract effective information using neural network devices. Neural network devices require extensive data transfer and computation on complex input data. Due to limited hardware resources,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/063G06N3/08
CPCG06N3/063G06N3/08G06N3/048G06N3/045H03M7/3064H03M7/607H03M7/70G06N3/044G06N3/04
Inventor 高裕善艾利克斯·查德维克罗伯特·马林斯丹尼尔·贝茨
Owner SAMSUNG ELECTRONICS CO LTD