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Data processing method, device and equipment based on convolutional neural network

A convolutional neural network and data processing technology, applied in electrical digital data processing, biological neural network models, digital data processing components, etc., can solve functional limitations, increase development costs and use costs, and low utilization of hardware resources and other issues to achieve the effect of reducing costs, improving hardware resource utilization, and enriching chip functions

Pending Publication Date: 2022-03-11
GUANGZHOU XIAOPENG CONNECTIVITY TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the convolutional neural network only has the calculation method of "dot product" for the operation of two variables, and cannot directly process logical operations, resulting in limited functions and low utilization of hardware resources, which in turn increases development costs and use costs.

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  • Data processing method, device and equipment based on convolutional neural network
  • Data processing method, device and equipment based on convolutional neural network
  • Data processing method, device and equipment based on convolutional neural network

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Embodiment Construction

[0052] Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the scope of this application to those skilled in the art.

[0053] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a" and "the" are also intended to include the plural unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations of on...

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Abstract

The invention relates to a data processing method, device and equipment based on a convolutional neural network. The method comprises the steps that at least two pieces of input data are preprocessed, preprocessed data corresponding to the at least two pieces of input data are obtained, and the length of at least one piece of data in the at least two pieces of input data is M; in the convolutional neural network, processing the at least two pieces of preprocessed data through convolution calculation layers and activation function layers of the at least M full adder operation units to obtain operation data of the M full adder operation units; and post-processing the operation data to obtain output data. According to the scheme provided by the invention, the processing logic of the full adder can be executed on the neural network dedicated chip, the hardware resource utilization rate can be improved, the chip function can be enriched, and the cost can be reduced.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a data processing method, device and equipment based on a convolutional neural network. Background technique [0002] Logic gates, also known as "basic units of digital logic circuits", are basic components that perform logical operations such as "or", "and", "not", "or not", "and not" on integrated circuits. Any complex logic circuit can be composed of these logic gates, and logic gates have been widely used in the fields of computers, communications, control and digital instruments. Currently, digital logic dedicated chips or general-purpose processors can be used to perform various types of logical operation processing, so as to meet the realization requirements of computer program algorithms such as HASH (hash) algorithm and encryption algorithm. [0003] With the rapid development of deep learning algorithms based on convolutional neural networks, conv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F7/501G06F17/16G06N3/04
CPCG06F7/501G06F17/16G06N3/045
Inventor 胡宇李天元刘嘉超刘兰个川李品逸
Owner GUANGZHOU XIAOPENG CONNECTIVITY TECH CO LTD