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Visualization-based code recognition model training method and device

A technology for identifying models and model training, applied in the field of model training, which can solve the problems of low model training efficiency, large amount of code development, time-consuming, etc., to achieve the effect of reducing the amount of code development, improving training efficiency, and saving training time

Pending Publication Date: 2022-07-01
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The code with the same function needs to be developed repeatedly by the user, the amount of code development is large, it takes a long time, and the efficiency of model training is low

Method used

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  • Visualization-based code recognition model training method and device
  • Visualization-based code recognition model training method and device
  • Visualization-based code recognition model training method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] refer to figure 1 , showing a flowchart of the steps of a visualization-based code recognition model training method provided by an embodiment of the present disclosure, such as figure 1 As shown, the visualization-based code recognition model training method may specifically include the following steps:

[0084] Step 101: Display the model configuration page.

[0085] The embodiments of the present disclosure can be applied to scenarios in which the model training mode, model network structure and hyperparameters of the model are customized by the user for model training.

[0086] The model configuration page refers to a page preset by the operator for the user to set the relevant parameters of the model training. In this embodiment, a model editor can be preset, and when the user needs to set the relevant parameters of the model training, it can be activated. In the model editor, a model configuration page can be displayed at this time, and the user can set the rele...

Embodiment 2

[0125] refer to figure 2 , showing a flowchart of the steps of another visualization-based code recognition model training method provided by an embodiment of the present disclosure, such as figure 2 As shown, the visualization-based code recognition model training method may specifically include the following steps:

[0126] Step 201: Display the model configuration page.

[0127] The embodiments of the present disclosure can be applied to scenarios in which the model training mode, model network structure and hyperparameters of the model are customized by the user for model training.

[0128] The model configuration page refers to a page preset by the operator for the user to set the relevant parameters of the model training. In this embodiment, a model editor can be preset, and when the user needs to set the relevant parameters of the model training, it can be activated. In the model editor, a model configuration page can be displayed at this time, and the user can set ...

Embodiment 3

[0192] refer to image 3 , showing a schematic structural diagram of a visualization-based code recognition model training device provided by an embodiment of the present disclosure, such as image 3 As shown, the visualization-based code recognition model training device 300 may specifically include the following modules:

[0193] a configuration page display module 310, configured to display a model configuration page;

[0194] a model parameter obtaining module 320, configured to obtain the model training mode, model network structure and hyperparameters input by the user in the model configuration page;

[0195] A to-be-trained model acquisition module 330, configured to acquire a to-be-trained code recognition model that matches the model network structure;

[0196] a code sample obtaining module 340, configured to obtain, according to the model training mode, a code training sample corresponding to the pre-stored code recognition model to be trained;

[0197] The code...

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PUM

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Abstract

The embodiment of the invention provides a visualization-based code recognition model training method and device. The method comprises the following steps: displaying a model configuration page; obtaining a model training mode, a model network structure and hyper-parameters input by a user in the model configuration page; obtaining a to-be-trained code recognition model matched with the model network structure; according to the model training mode, obtaining a pre-stored code training sample corresponding to the to-be-trained code recognition model; and loading the hyper-parameters, and training the to-be-trained code recognition model according to the code training sample. According to the embodiment of the invention, a large amount of manpower, material resources and time can be saved, the code development amount is reduced, the model training time is saved, and the model training efficiency is improved.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of model training, and in particular, to a visualization-based code recognition model training method and apparatus. Background technique [0002] Deep learning has become an intelligent development trend in the industrial world, and is widely used in business lines such as food delivery, distribution, baby elephants, bicycles, and donkeys. [0003] The core of deep learning is to find the optimal model in a complex network for matching data. Deep learning is more concerned with the design of the model. A simple change or a simple adjustment of the structure can greatly improve the effect of the model. Sexual and diverse model configurations are critical. Moreover, hyperparameters play a pivotal role in deep learning model training, and hyperparameters can be used to control algorithm behavior. [0004] Currently, based on the training mode of visual deep learning model components, t...

Claims

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Application Information

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IPC IPC(8): G06F8/34G06N20/00
CPCG06F8/34G06N20/00
Inventor 刘晓娟李兆军尹非凡
Owner BEIJING SANKUAI ONLINE TECH CO LTD