Model generation method and device, electronic equipment and storage medium

Abstract

The invention discloses a model generation method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning. The specific implementation scheme is as follows: determining data used for model training according to a detected first user operation acting on a current application interface; performing model training based on the data through a deep learning framework module integrated in the current application; and generating and outputting a code file corresponding to the trained model according to the model deployment environment. According to the embodiment of the invention, the client can be visualized by integrating the application of the deep learning framework; therefore, adeveloper only needs to operate on the application interface to realize model training; a developer can realize model training based on a deep learning framework without knowing about program development and mastering related interface and parameter adjustment mode details of a deep learning framework program, and then a code file of the trained model is obtained, so that the model training efficiency is improved, and the workload is reduced.

Description

technical field [0001] The embodiments of the present application relate to the technical field of the Internet, in particular to the technical field of artificial intelligence, and specifically relate to a model generation method, device, electronic equipment, and storage medium. Background technique [0002] The Deep Learning Framework (Deep Learning Framework) is a tool that provides deep learning developers with full-process functional development such as model building, existing model reference, model redevelopment, training, optimization, and prediction. Its integrated deep learning project development process can be repeated The code framework and model structure used enable developers to focus more on task realization and reduce redundant underlying code development. [0003] The current deep learning frameworks are provided to developers in the form of open source code (python, C++, etc.). Developers need to install the framework, understand program development (es...

AI Technical Summary

Problems solved by technology

Developers need to install the framework, understand program development (especially Python / C++), master the relevant interface (API) of the deep learning framework program, details of parameter adjustment methods, write code to establish the program flow, and consult and modify a large number of model files at the same time To adapt it to the project, the parameter change trend of the training process needs to be developed and drawn in the form of a graphical interface icon. The overall threshold is high and the workload is heavy.

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