Model iterative correction method, device and system
An iterative and model technology, which is applied in the field of model iterative correction methods, devices and systems to achieve the effect of improving solution efficiency
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0030] First, refer to figure 1 An example electronic device 100 for implementing a model iterative correction method, device and system according to an embodiment of the present invention will be described.
[0031] Such as figure 1 Shown is a schematic structural diagram of an electronic device. The electronic device 100 includes one or more processors 102, one or more storage devices 104, an input device 106, an output device 108, and an image acquisition device 110. These components pass through a bus system 112 and / or other forms of connection mechanisms (not shown). It should be noted that figure 1 The components and structure of the electronic device 100 shown are only exemplary, not limiting, and the electronic device may also have other components and structures as required.
[0032] The processor 102 can be implemented in at least one hardware form of a digital signal processor (DSP), a field programmable gate array (FPGA), and a programmable logic array (PLA), an...
Embodiment 2
[0039] This embodiment provides a method for model iterative correction, which can be executed by a server. During specific implementation, the number of servers can be set by itself. For example, only one main server can be used to implement it. A training platform and a training platform can be deployed on the main server. A variety of basic models that can be provided to users to achieve different functions. The basic model is a model that meets the user's preset requirements (such as product basic requirements); the main server can also store training data for training models, and can also Evaluation data and the like for evaluating the model are stored. Of course, this can also be implemented with two servers, one server (which can be called the main server) is only used to deploy the training platform and the basic model, and the other server (which can be called the storage server) is used to store training data, evaluation data, etc. In a specific application, the stor...
Embodiment 3
[0064] Corresponding to the aforementioned model iterative correction method, this embodiment provides a model iterative correction device, which can be set on the server side, see Figure 4 A structural block diagram of a model iterative correction device shown, the device includes:
[0065] The information receiving module 402 is used to receive the model feedback information uploaded by the client; the model feedback information includes problem type and problem correction data;
[0066] A model search module 404, configured to search for a pre-stored basic model corresponding to the problem type;
[0067] The model iteration module 406 is configured to iteratively train the basic model based on the problem correction data, so as to correct the basic model.
[0068] In the above-mentioned model iterative correction device provided by the embodiment of the present invention, the server can receive the model feedback information (including the problem type and problem correc...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com