Multi-layer neural network model application platform

A multi-layer neural network and application platform technology, which is applied in the field of multi-layer neural network model application platform, can solve the problems of staff consuming working time and achieve the effects of saving labor costs and time costs, improving speed and efficiency, and convenient operation

Inactive Publication Date: 2021-03-09
泰州市元和达电子科技有限公司
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AI Technical Summary

Problems solved by technology

However, the current mode of manual review needs to watch each TV series for a long time to get a relatively accurate type identification result. Obviously, this mode requires a large number of staff to consume a lot of working time

Method used

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  • Multi-layer neural network model application platform

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Embodiment Construction

[0028] The implementation of the multi-layer neural network model application platform of the present invention will be described in detail below with reference to the accompanying drawings.

[0029] TV play (TVplay; teleplay; TV drama; TV serial;) A form of drama designed for broadcast on TV. It is compatible with various elements of modern art such as film, drama, literature, music, dance, painting, and modeling. It is a modern art style formed by adapting to the characteristics of TV broadcasting and integrating the expression methods of stage and film art. Generally, it is divided into a single play and a series (television series). TV dramas developed along with the birth of television broadcasting. Behind the scenes, some TV drama websites were born due to certain impetus. The more typical classified TV drama online viewing websites are very popular among the public. In life, the definition of TV series has been narrowed, only referring to series of TV series, not other...

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Abstract

The invention relates to a multi-layer neural network model application platform, and the platform comprises a duration setting mechanism which is disposed at a media supervision end, and is used forinputting the time duration of a to-be-inputted television drama under the control of a worker; data input equipment which is connected with the duration setting mechanism and is used for inputting the television drama of the to-be-identified type; and type acquisition equipment which is used for uniformly selecting a fixed number of frame pictures with main resolution output by the resolution processing mechanism according to a time sequence to serve as input data of the multilayer neural network model, and calling and operating the multilayer neural network model to obtain the television drama type. The multi-layer neural network model application platform is compact in logic and convenient to control. As the artificial intelligence mode is adopted to automatically identify the type of each input television drama, the television drama identification speed and efficiency are improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a multilayer neural network model application platform. Background technique [0002] Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It can be imagined that the technological products brought by artificial intelligence in the future will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/41G06N3/045G06F18/241
Inventor 刘文景
Owner 泰州市元和达电子科技有限公司
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