Convolutional neural network, and data processing method and device based on convolutional neural network

A convolutional neural network and data processing technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as excessive computing, low computing efficiency, and complex computing processes

Pending Publication Date: 2020-07-14
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0003] In the data processing process of the traditional convolutional neural network, due to the complexity of the calculation process, excessive calculations often occur, resulting in low operational efficiency.

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  • Convolutional neural network, and data processing method and device based on convolutional neural network
  • Convolutional neural network, and data processing method and device based on convolutional neural network

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Embodiment Construction

[0028] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0029] It can be understood that the terms "first", "second" and the like used in this application may be used to describe various elements herein, but these elements are not limited by these terms. These terms are only used to distinguish one element from another element. For example, a first convolutional layer could be termed a second convolutional layer, and, similarly, a second convolutional layer could be termed a first convolutional layer, without departing from the scope of the present application. Both the first convolutional layer and the second convolutional la...

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Abstract

The invention relates to a convolutional neural network, a data processing method and device based on the convolutional neural network, electronic equipment and a computer readable storage medium, andthe method comprises the steps: inputting original data into the convolutional neural network, wherein the original data comprises at least one of image data, audio data and natural language data; and processing the original data through the custom layer of the convolutional neural network to obtain a data processing result, and outputting the data processing result. The convolutional neural network comprises a custom layer. The custom layer comprises at least one data processing mode set according to data processing requirements; the parameters corresponding to the data processing mode do not change along with back propagation of the convolutional neural network, so that manual control can be introduced into the whole convolutional neural network through the custom layer, excessive operation is avoided, the operand in the data processing process can be reduced, and the data processing efficiency is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a convolutional neural network, a data processing method and device based on the convolutional neural network, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the continuous development of computer technology, deep learning technology has been more and more widely used in image processing, image recognition, object recognition, data processing and analysis, natural language recognition, artificial intelligence and other fields. Among them, Convolutional Neural Networks (CNN) is a type of Feedforward Neural Networks (Feedforward Neural Networks) that includes convolution calculations and has a deep structure, and is one of the representative algorithms for deep learning. [0003] In the data processing process of the traditional convolutional neural network, due to the complexity of the calculation process, excessive cal...

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/08G06N3/084G06N3/045
Inventor张弓
OwnerGUANGDONG OPPO MOBILE TELECOMM CORP LTD