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Deep learning network training device based on artificial intelligence

A deep learning network and artificial intelligence technology, applied to teaching aids, educational tools, instruments, etc. operated by electricity, can solve the problems of consuming more time and wasting the learning time of scholars

Pending Publication Date: 2021-05-28
JIANGHAI POLYTECHNIC COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing training devices for network learning are installed in a box body, and the box cover needs to be opened before use, and then the training device inside is taken out or the training device is pushed out through the driving mechanism, so as to facilitate The use of the training device by scholars, but because it cannot be smoothly pushed out of the training device from the device while opening the box cover, it takes a lot of time for the student to use the device to remove the training device from the box. Therefore, it is urgent to develop a deep learning network training device based on artificial intelligence

Method used

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  • Deep learning network training device based on artificial intelligence
  • Deep learning network training device based on artificial intelligence
  • Deep learning network training device based on artificial intelligence

Examples

Experimental program
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Effect test

Embodiment

[0030] Such as Figure 1-5 The shown a kind of deep learning network training device based on artificial intelligence includes a housing 1, a display screen 2 and a protective housing 3, the housing 1 is equipped with a display screen 2 that guides people to learn, and the outside of the housing 1 is equipped with There is a protective shell 3 for protecting it. The shell 1 and the protective shell 3 are both rectangular structures, and the inside of the protective shell 3 is provided with a cavity 4 communicating with its top and right side, and the shell 1 is movable. It is located inside the protective shell 3, and the inside of the protective shell 3 is provided with a drive structure for driving to move up and down. 1. The connecting block 6 at the bottom end of the left outer wall and parallel to the block 5, and the threaded rod 7 vertically arranged inside the cavity 4 and whose top is rotatably connected to the bottom end of the block 5. The bottom end of the threaded...

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Abstract

The invention discloses a deep learning network training device based on artificial intelligence, and belongs to the field of network training equipment, the deep learning network training device comprises a shell, a display screen and a protective shell, the shell is provided with the display screen for tutoring people to learn, the protective shell for protecting the shell is arranged on the outer side of the shell, the shell and the protective shell are both of a rectangular structure, and the shell and the protective shell are both of a rectangular structure; a containing cavity communicating with the top end and the right side of the protective shell is formed in the protective shell, the shell is movably arranged in the protective shell, a driving structure for driving the protective shell to move up and down is arranged in the protective shell, and a supporting plate is rotationally connected to the open end of the right side of the protective shell through a rotating shaft. When the shell moves up and down, the supporting plate can be linked with the shell and is opened or closed, so that a scholar can correspondingly adjust the using state of the training device according to the using requirements of the scholar, the scholar can conveniently use the training device, and meanwhile, the training device is protected.

Description

technical field [0001] The invention relates to the field of network training equipment, in particular to an artificial intelligence-based deep learning network training device. Background technique [0002] Network learning refers to a kind of learning activity through computer network, which mainly adopts independent learning and negotiation learning. Compared with traditional learning activities, network learning has the following three characteristics: first, sharing rich network learning Resources, the second is the main form of individual independent learning and collaborative learning, and the third is to break through the time and space constraints of traditional learning. [0003] Most of the existing training devices for network learning are installed in a box body, and the box cover needs to be opened before use, and then the training device inside is taken out or the training device is pushed out through the driving mechanism, so as to facilitate The use of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09B5/02
CPCG09B5/02
Inventor 任云晖丁红冯政军
Owner JIANGHAI POLYTECHNIC COLLEGE
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