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Deep-learning identification system, method and electronic device

A deep learning and recognition system technology, applied in the field of computer applications, can solve the problem of high threshold for deep learning, and achieve the effect of lowering the threshold, reducing time costs, and improving recognition efficiency

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Problems solved by technology

[0004] In order to solve the technical problem of high threshold of deep learning in related technologies, the present invention provides a deep learning identification method, system and electronic equipment

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  • Deep-learning identification system, method and electronic device
  • Deep-learning identification system, method and electronic device

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Embodiment Construction

[0043] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of systems and methods consistent with aspects of the invention as recited in the appended claims.

[0044] figure 1 is a block diagram of a deep learning recognition system 10 shown according to an exemplary embodiment, such as figure 1 As shown, the deep learning recognition system may include a deep learning task management module 110 and a recognition configuration module 120 .

[0045] The deep learning task management module 110 is used to create deep learning tasks according to user instructions, and manage the created deep learning tasks.

[0046] Through the deep learning task management module 110, it is convenient for users to create new tasks and view tas...

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Abstract

The invention discloses a depth learning identification system, a method and an electronic device, belonging to the technical field of computer application. The system comprises a depth learning taskmanagement module and an identification configuration module. The depth learning task management module is used for creating a depth learning task according to a user instruction and managing the created depth learning task. The identification configuration module is configured to load the corresponding parameter file according to the user's selection to carry out depth learning for identification. The in-depth learning identification system, method and electronic device can reduce time cost when selecting assembly scene, realize assembly scene management and assembly automation and informationization, and greatly improve production efficiency.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a deep learning recognition system, method and electronic equipment. Background technique [0002] Deep learning is in the ascendant. With the continuous improvement of hardware performance, deep learning has been applied more and more in all walks of life. However, the process from problem definition to problem solving experience is not so simple. For example, when using deep learning to recognize the state of handle switches, it is first necessary to collect materials related to handle switches and start to mark them, then choose a deep learning framework, build a training environment, configure various parameters, and choose or write a suitable The neural network model starts training, after which the prediction function can be called. [0003] However, the requirements for technical personnel to fulfill this requirement are very high, and technical personnel a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24133
Inventor 徐泽明戴坤
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