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Embedded system-oriented neural network mapping method and device

An embedded system and neural network technology, applied in the field of neural network systems and neural network mapping devices, can solve problems such as manpower and time consumption, affecting product prototype verification and time to market, and it is difficult to efficiently apply embedded platforms. Maximize performance and speed up implementation

Inactive Publication Date: 2018-04-24
深圳普思英察科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the problem with related technologies is that most open source frameworks are aimed at cloud platforms, and it is difficult to efficiently apply them to embedded platforms, resulting in a lot of manpower and time consumption, and even affecting product prototype verification and time-to-market

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  • Embedded system-oriented neural network mapping method and device
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  • Embedded system-oriented neural network mapping method and device

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Embodiment Construction

[0026] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. Wherein, similar elements in different implementations adopt associated similar element numbers. In the following implementation manners, many details are described for better understanding of the present application. However, those skilled in the art can readily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, and methods. In some cases, some operations related to the application are not shown or described in the description, this is to avoid the core part of the application being overwhelmed by too many descriptions, and for those skilled in the art, it is necessary to describe these operations in detail Relevant operations are not necessary, and they can fully understand the relevant operations according to the description in the specification and genera...

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Abstract

The invention discloses an embedded system-oriented neural network mapping method and device. The method comprises the following steps of: establishing a neural network structure and obtaining parameters of the neural network; generating a data flow chart for describing the neural network according to the neural network structure and the parameter of the neural network; obtaining a deep learning calculation unit library and realizing the data flow chart of the neural network by utilizing the deep learning calculation unit library so as to obtain a realization program of the neural network. According to the method and device, the neural network can be mapped into the realization program applied to an embedded system by taking the deep learning calculation unit, so that the realization speed, on an embedded platform, of the neural network can be improved and performance of the embedded platform can be maximized.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a neural network-oriented mapping method for embedded systems, a neural network system for embedded systems, and a neural network-oriented mapping device for embedded systems. Background technique [0002] In recent years, deep learning algorithms have been successfully applied in fields such as image search and language recognition. Due to the large amount of calculation, high memory usage and real-time application requirements, deep learning algorithms are often deployed in the cloud. With the advancement of chip technology and architecture technology, as well as the advent of lightweight deep learning models, deep learning algorithms can already be implemented in smartphones and embedded devices, and will become a new artificial intelligence technology for intelligent robots, drones and unmanned vehicles. The basic functional unit of an intelligent application. [0...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08
Inventor 俞波刘少山
Owner 深圳普思英察科技有限公司
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