View source for 18455717. MODEL OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT simplified abstract (Tencent Technology (Shenzhen) Company Limited)

=MODEL OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT=


==Organization Name==

[[:Category:Tencent Technology (Shenzhen) Company Limited|Tencent Technology (Shenzhen) Company Limited]]


[[Category:Tencent Technology (Shenzhen) Company Limited]]

==Inventor(s)==

[[:Category:Zhiling Ye of Shenzhen (CN)|Zhiling Ye of Shenzhen (CN)]][[Category:Zhiling Ye of Shenzhen (CN)]]

[[:Category:Han Kong of Shenzhen (CN)|Han Kong of Shenzhen (CN)]][[Category:Han Kong of Shenzhen (CN)]]

[[:Category:Yingpai Song of Shenzhen (CN)|Yingpai Song of Shenzhen (CN)]][[Category:Yingpai Song of Shenzhen (CN)]]

==MODEL OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18455717 titled 'MODEL OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT

==Simplified Explanation==

The patent application describes a method for adjusting a model in a project by encapsulating a model operator in a project model to obtain a super-model. The super-model has a dynamically variable space structure and is trained based on a configuration search space and the project model. The method aims to find an adjusted model corresponding to the project model by searching the convergence super-model.

* The method involves encapsulating a model operator in a project model to obtain a super-model.
* The super-model has a dynamically variable space structure.
* A configuration search space is determined based on the model operator and a control parameter.
* The super-model is trained using the configuration search space and the project model.
* A convergence super-model is obtained when a training end condition is reached.
* The convergence super-model is searched for an adjusted model corresponding to the project model.

== Potential Applications ==
* This method can be applied in various fields where model adjustment is required, such as machine learning, data analysis, and optimization.
* It can be used to fine-tune models in complex projects to improve their performance and accuracy.

== Problems Solved ==
* The method solves the problem of adjusting a model in a project by providing a systematic approach to encapsulate a model operator and train a super-model.
* It addresses the challenge of finding an adjusted model that corresponds to the project model by searching the convergence super-model.

== Benefits ==
* The method allows for the adjustment of models in a project by encapsulating a model operator, providing flexibility in the model's structure.
* It enables the training of a super-model based on a configuration search space, allowing for optimization and fine-tuning.
* The method provides a systematic approach to finding an adjusted model corresponding to the project model, improving the overall performance and accuracy of the project.


==Original Abstract Submitted==

A model adjustment method includes: encapsulating a model operator in a project model to obtain a super-model corresponding to the project model, the model operator at least including: a network layer in the project model, the super-model being a model with a dynamically variable space structure; determining a configuration search space corresponding to the project model according to the model operator and a control parameter; training the super-model based on the configuration search space and the project model and obtaining a convergence super-model corresponding to the project model in response to that a training end condition is reached; and searching the convergence super-model for an adjusted model corresponding to the project model.



[[Category:G06N3/096]]
[[Category:G06N3/0464]]