Machine learning recognition method based on deep learning

Abstract

The invention provides a machine learning recognition method based on deep learning. Multiple times of different learning training can be performed on a machine learning model f1 with a certain quantity of known classes of multimedia data samples in different contrast sample input arranging orders, the machine learning model f1 obtained by learning is used for recognizing multimedia data classes and selects a convolutional neural network model or a fully connected neural network model, dependence on a huge number of training samples is reduced substantially, the multimedia data classes not subjected to learning training can be expanded conveniently for class recognition, the problem that practical applicability and generality are limited due to dependence of the conventional machine learning method for multimedia data classification on the huge number of training samples and failure in direct classification recognition on the classes not subjected to learning training is solved well, and the machine learning recognition method can be applied to more specific multimedia data classification occasions more extensively and more effectively.

Description

technical field [0001] The invention relates to the fields of multimedia data processing technology and machine learning technology, in particular to a machine learning recognition method based on deep learning. Background technique [0002] Multimedia (Multimedia) is a combination of multiple media. In computer systems, multimedia refers to a human-computer interactive information exchange and dissemination media that combines two or more media. The media used include text, pictures, photos, and sound. , animations and videos, and the interactive features provided by the program. [0003] With the advent of the era of big data, the classification and mining technology of massive multimedia data is particularly important. In massive data mining, how to use the information classified and mined from existing data to guide the classification and mining of new data has become a new research hotspot. Especially when the number of samples for certain tasks is small, the use of m...

AI Technical Summary

Problems solved by technology

[0006] In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is how to provide a machine learning recognition method based on deep learning to solve the problem that the existing multimedia data classification machine learning recognition method needs to rely on a large number of training samples. It leads to the problem of limited practical application, and further solves the problem that the existing multimedia data classification machine learning recognition method cannot directly classify and recognize categories that have not been trained, resulting in limited versatility

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