A data processing method, device, system and storage medium

Abstract

The present invention provides a data processing method, device, system and storage medium. The method includes: acquiring data to be processed; performing feature extraction on the data to be processed to obtain data features of the data to be processed; inputting the data features into a trained data processing model , to obtain the data processing results; wherein, the training of the data processing model includes: selecting training samples of the quantity category in the training data; inputting the category weight of the quantity category into the layer of the corresponding category of the neural network; using the training samples to train the neural network to obtain the quantity The new category weight of the category; repeat the above steps, and stop the training when the neural network model meets the training conditions, and obtain the trained data processing model. According to the method, device, system and storage medium of the present invention, the neural network model obtained by training the neural network by selecting a fixed number of training samples out of order is easy to converge, and has high accuracy, which is suitable for data processing applications and optimizes data processing the process of.

Description

A data processing method, device, system and storage medium technical field [0001] The present invention relates to the technical field of data processing, and more particularly to a method, device, system and storage for data processing. medium. Background technique With the wide application of neural network in data processing such as image processing, text processing and language processing [0002] With the use of neural networks, the demand and requirements for neural networks are gradually increasing. The neural network often needs to contain category information to complete the classification classes, detection of different classes, or regression for multi-class tasks. Often, since these categories of information are also undetermined, It needs to be optimized or optimized during the training process, and these category information are often stored as network weights in the neural network feature. In a certain layer, it participates in training and inference...

AI Technical Summary

Problems solved by technology

The present invention provides a data processing method, device, system and computer storage medium to solve the problem that the neural network model is difficult to converge, requires a long training time, and cannot train category weights, which is not conducive to the optimization of the data processing process

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