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Data processing method, device and system for neural networks and storage medium

A data processing system and neural network technology, applied in biological neural network models, physical implementation, etc., can solve problems such as large amount of calculation, difficult operation, large amount of floating-point operation information, etc., and achieve low computational cost and fast data processing speed. , the effect of good data processing effect

Inactive Publication Date: 2018-11-23
BEIJING KUANGSHI TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, most neural networks use floating-point calculations when processing data. Floating-point calculations contain a large amount of information and require a large amount of calculations, making it difficult to run on platforms with limited computing power.

Method used

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  • Data processing method, device and system for neural networks and storage medium
  • Data processing method, device and system for neural networks and storage medium
  • Data processing method, device and system for neural networks and storage medium

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Embodiment Construction

[0022] In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described here. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative effort shall fall within the protection scope of the present invention.

[0023] In order to realize the function of the neural network on a platform with limited computing power (such as FPGA), a low-bit-width neural network can be used. A low-bit-width neural network is a neural network in which the output of the intermediate ...

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Abstract

The embodiment of the invention provides a data processing method, device and system for neural networks and a storage medium. The data processing method for the neural networks comprises the steps of: obtaining to-be-processed data; processing the to-be-processed data by utilizing a first network structure in a neural network to obtain fixed-point features of the to-be-processed data; and processing the fixed-point features by utilizing a second network structure in the neural network to obtain floating-point features of the to-be-processed data. The method is high in the data processing speed and can cope with a task requiring a rich feature representation at the same time, so that a very good data processing effect can be obtained at a low calculation cost.

Description

technical field [0001] The present invention relates to the computer field, and more specifically relates to a data processing method, device, system and storage medium for neural networks. Background technique [0002] Neural networks have been widely and successfully applied in image recognition, speech recognition and other fields. At present, most neural networks use floating-point calculations when processing data. Floating-point calculations contain a large amount of information and require a large amount of calculations, making it difficult to run on platforms with limited computing power. Contents of the invention [0003] The present invention has been made in consideration of the above-mentioned problems. The invention provides a data processing method, device, system and storage medium for neural networks. [0004] According to one aspect of the present invention, a data processing method for a neural network is provided. The data processing method for the ne...

Claims

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Application Information

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IPC IPC(8): G06N3/02G06N3/06
CPCG06N3/02G06N3/063
Inventor 何蔚然周舒畅
Owner BEIJING KUANGSHI TECH
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