Model recommendation method and device, device, and computer storage medium

A recommendation method and model technology, applied in the field of artificial intelligence, can solve the problems of long model selection cycle, high model trial and error costs, and high selection difficulty, and achieve the effect of overcoming the long model selection cycle, realizing automatic recommendation, and improving accuracy

Active Publication Date: 2022-07-05
SHENZHEN SENSETIME TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in related technologies, when selecting a model, engineers often make the selection based on work experience. The selection is difficult and the accuracy is poor, which makes the trial and error cost of the model higher, which in turn leads to a longer model selection cycle. defect

Method used

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  • Model recommendation method and device, device, and computer storage medium
  • Model recommendation method and device, device, and computer storage medium
  • Model recommendation method and device, device, and computer storage medium

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Embodiment Construction

[0039] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present disclosure, and those skilled in the art will not All other embodiments obtained under the premise of creative work fall within the protection scope of the present disclosure.

[0040] In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" can be the same or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0041] In the following description, the term "first\second\third" is only used to distinguish similar objects, and does not represent a specific ordering of objects. It is understood that "first\second\third" Where pe...

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Abstract

The embodiment of the present application discloses a model recommendation method, apparatus, device, and computer storage medium. The model recommendation method includes: acquiring target attribute parameters of a neural network model running on first hardware; the target attribute parameters include expected speed values ​​and / or expected speed values. Accuracy value; based on the first hardware and target attribute parameters, screen each neural network model in the preset neural network model library to obtain a neural network model matching the target attribute parameters; the preset neural network model library The attribute parameters of each neural network model are obtained by testing on the second hardware, and the second hardware includes the first hardware. The automatic recommendation of the model is realized.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence, and in particular, to a model recommendation method, device, device, and computer storage medium. Background technique [0002] With the rapid development of artificial intelligence, deep learning technology has been successfully applied in the field of computer vision. The feature extraction of images is changed from traditional manual design to automatic extraction based on data, which greatly improves the robustness of image features and the accuracy of recognition. In this, the design of the model plays a crucial role. [0003] Because for the same task, the task processing effect that can be achieved based on different models is different, so it is of great significance to select an appropriate model for a specific task. However, when selecting models in related technologies, engineers often choose based on work experience. The selection is difficult and the accuracy is poor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241
Inventor 袁坤余锋伟
Owner SHENZHEN SENSETIME TECH CO LTD
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