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Neural network model adjustment method, apparatus and device, and storage medium

A technology of neural network model and adjustment method, applied in equipment and storage medium, neural network model adjustment method, device field, can solve the problem that the performance of deep learning model cannot be guaranteed, etc.

Pending Publication Date: 2021-03-02
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a neural network model adjustment method, device, device and storage medium to solve the technical problem in the prior art that the performance of the deep learning model cannot be guaranteed when the deep learning model is applied to different scenarios

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  • Neural network model adjustment method, apparatus and device, and storage medium
  • Neural network model adjustment method, apparatus and device, and storage medium
  • Neural network model adjustment method, apparatus and device, and storage medium

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Embodiment Construction

[0082] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are used to explain the present application rather than limit the present application. In addition, it should be noted that, for the convenience of description, only some structures related to the present application are shown in the drawings but not all structures.

[0083] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation or object from another entity or operation or object, and do not necessarily require or imply that these entities or any such actual relationship or order between operations or objects. For example, "first" and "second" in the first output result and the second output result are used to distinguish two different output results.

[0084] In the prior art, when the deep learning ...

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Abstract

The embodiment of the invention discloses a neural network model adjustment method and device, equipment and a storage medium, and relates to the technical field of neural networks, and the method comprises the steps: inputting a target number of sample data into a neural network model, and updating the model parameters of the neural network model according to a first output result of the neural network model, wherein the model parameter before updating is a first parameter, and the model parameter after updating is a second parameter; and inputting the target number of application data into the updated neural network model, and correcting model parameters of the neural network model according to a second output result and a second parameter of the updated neural network model, the model parameters before correction being the first parameter, and the model parameters after correction being the third parameter. By adopting the method, the technical problem that the performance of the deep learning model cannot be ensured when the deep learning model is applied to different scenes in the prior art can be solved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of neural networks, and in particular, to a neural network model adjustment method, device, device, and storage medium. Background technique [0002] As an important field in machine learning, deep learning has been widely used in people's work and life. For example, in the field of face recognition, face recognition technology based on deep learning has been widely used in terminal face unlocking, Face sign-in, face payment and other scenarios. Usually, in order to realize the face recognition technology based on deep learning, it is necessary to build a deep learning model and train the deep learning model with a large amount of training data, so as to perform face recognition by the trained deep learning model. [0003] In the process of realizing the present invention, the inventor found that the existing technology has the following defects: when training the deep learning m...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/172G06N3/045G06F18/214
Inventor 熊凯
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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