Data processing method, device and equipment based on convolutional neural network
A convolutional neural network and data processing technology, applied in biological neural network model, neural architecture, physical implementation, etc., can solve the problem of single operator, limited function of neural network chip, increase the development cost and use cost of neural network chip, etc. problems, to reduce development costs and use costs, enrich chip functions, and improve hardware resource utilization.
Pending Publication Date: 2022-03-08
GUANGZHOU XIAOPENG CONNECTIVITY TECH CO LTD
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[0004] However, the operator of the neural network chip is relatively simple, mainly based on inference convolution operations, which cannot directly process logic operations, resulting in limited functions of the neural network chip, low utilization of hardware resources of the neural network chip, and increased neural network performance. Chip development cost and usage cost
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[0069] The embodiment of the present application will be described in more detail below with reference to the accompanying drawings. Although the embodiments of the present application are shown, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, providing these embodiments is to make the present application more thoroughly and complete, and can integrate the scope of the present application to those skilled in the art.
[0070] The terms used in this application are only for the purposes of describing particular embodiments, not intended to limit the invention. The "one", "one", "one", "one", "" "" and "" "used in the present application and the appended claims are also intended to include many forms unless the context clearly represents other meanings. It should also be understood that the terms "and / or" as used herein refer to any or more of any or all possible combina...
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The invention relates to a data processing method, device and equipment based on a convolutional neural network. The method is applied to a processor and comprises the following steps: preprocessing input data to obtain preprocessed data; according to different logic operation requirements in a convolutional neural network, processing the preprocessed data through convolution calculation layers and activation function layers of different logic operation units to obtain operation data of the logic operation units; and post-processing the operation data to obtain output data. According to the scheme provided by the invention, logic operation processing can be executed on the neural network chip, the hardware resource utilization rate of the neural network chip can be improved, the chip function of the neural network chip can be enriched, and the development cost and the use cost of the neural network chip are reduced.
Description
Technical field [0001] The present application relates to the field of data processing, and more particularly to a data processing method, apparatus, and apparatus based on convolutional neural network. Background technique [0002] The logic gate is also known as the "digital logic circuit basic unit", which is a basic component of "or", ",", ",", "," or ",", ",", ",", ",", ",",. Any complex logic circuit can be composed of these logic gates, and logic gates have been widely used in computer, communication, control and digital instrumentation. Currently, various types of logical operations can be performed using a digital logic dedicated chip or a general purpose processor to meet the implementation needs of computer program algorithms such as Hash (Hash) algorithm, encryption algorithm. [0003] With the rapid development of deep learning algorithms based on convolutional neural network, convolutation neural networks have been widely used in different technical fields, and the ...
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Login to View More IPC IPC(8): G06N3/04G06N3/063
CPCG06N3/063G06N3/045
Inventor 胡宇李天元刘嘉超刘兰个川
Owner GUANGZHOU XIAOPENG CONNECTIVITY TECH CO LTD