Service processing method, device and equipment

Abstract

The invention provides a service processing method, apparatus and device. The method comprises the steps of obtaining multiple function types corresponding to a target service; for each function type,determining a target resource value corresponding to the function type, and selecting a target network model from at least one initial network model corresponding to the function type based on the target resource value; generating a model file corresponding to the function type, wherein the model file can comprise the target network model; obtaining a target file corresponding to the target service based on the model files corresponding to the plurality of function types; and sending the target file to an edge device, so that the edge device performs service processing on to-be-processed databased on the target file to obtain a service processing result matched with the target service. By means of the technical scheme, the optimal target network model can be automatically selected according to the available resource condition, and the optimal model effect is achieved while it is guaranteed that resources are fully utilized.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a business processing method, device and equipment. Background technique [0002] Machine learning is a way to realize artificial intelligence. It is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Machine learning is used to study how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their own performance. Machine learning pays more attention to algorithm design, enabling computers to automatically learn laws from data and use the laws to predict unknown data. [0003] Machine learning has been used in a wide range of applications, such as: data mining, computer vision, natural language processing, biometric recognition, search e...

AI Technical Summary

Problems solved by technology

[0004] Although machine learning technology has been widely used, there is currently no reasonable way to use machine learning technology to implement various types of business processing, such as face detection, vehicle detection, etc.

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