Neural network training method and device, equipment and computer readable storage medium

The technology of a neural network and training method is applied in the field of devices, equipment and computer-readable storage media, and the training method of neural network, which can solve the problems of low efficiency and long time of neural network, and achieve the elimination of training time, improve efficiency, reduce The effect of calculating duration

Pending Publication Date: 2021-09-24
SHENZHEN SENSETIME TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in related technologies, the training process of neural network usually takes a long time, so the efficiency of neural network training is low

Method used

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  • Neural network training method and device, equipment and computer readable storage medium
  • Neural network training method and device, equipment and computer readable storage medium
  • Neural network training method and device, equipment and computer readable storage medium

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Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the protection scope of the present disclosure.

[0031] Before further describing the embodiments of the present disclosure in detail, the nouns and terms involved in the embodiments of the present disclosure will be described, and the nouns and terms involved in the embodiments of the present disclosure are used for the following explanations.

[0032] 1) Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machine models controlled by digital computers to extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results . In other words, artificial intelligence ...

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Abstract

The embodiment of the invention discloses a neural network training method and device, equipment and a computer readable storage medium. The method comprises the following steps: converting parameters of a preset network layer in a to-be-trained model from a first data type to a second data type to obtain a prediction model; performing forward propagation on the obtained training sample in the prediction model until the training sample is transmitted to an output layer of which the parameter type is the first data type, and obtaining a prediction value of the first data type; according to the difference between the predicted value of the first data type and the true value of the training sample, performing parameter updating on the to-be-trained model to obtain an updated model; continuously updating the parameters of the updated model until a training end condition is met, and generating a target model; the target model is used for determining a plurality of prediction labels corresponding to a plurality of label dimensions for an input prediction sample. According to the invention, the efficiency of neural network training can be improved.

Description

technical field [0001] The present disclosure relates to computer vision technology, and in particular to a neural network training method, device, equipment and computer-readable storage medium. Background technique [0002] Image classification is an important issue in the field of computer vision and is widely used in different fields of production and life, such as retail product recognition, industrial defect recognition, vehicle type recognition in monitoring scenarios, municipal monitoring, etc. With the development of machine learning and deep learning technology, deep convolutional neural network is used to extract image features, and the extracted image features are used for classification, and excellent classification results have been achieved. Prior to this, deep convolutional neural networks needed to learn massive amounts of training data to obtain network models available in actual scenarios. However, in related technologies, the training process of the neur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/047G06N3/048G06N3/045G06F18/2415G06F18/241
Inventor 王长春袁坤郭少鹏闫俊杰
Owner SHENZHEN SENSETIME TECH CO LTD
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