Improved system based on deep learning semantic segmentation algorithm

Abstract

The invention discloses an improved system based on a deep learning semantic segmentation algorithm. The improved system comprises a main processor module, a deep learning module, an information output module, a wireless transmission module, a receiving terminal module, a safety inspection module, a data submission module, a power supply module, a segmentation algorithm module, a virus searching and killing module and a data recording module. The output end of the main processor module, the deep learning module and the segmentation algorithm module are connected in sequence, the power output end of the power supply module is connected with the power input end of the main processor module, and the data inspection module is installed outside the main processor module; the power output end ofthe power supply module is connected with the power input end of the main processor module, and the data inspection module is fixedly installed outside the main processor module. And the output end of the main processor module is connected with the input end of the information output module.

Description

technical field [0001] The invention belongs to the technical field of learning algorithms, and specifically relates to an improved system based on deep learning semantic segmentation algorithms. Background technique [0002] Deep learning is to learn the internal laws and representation levels of sample data. The information obtained during the learning process is of great help to the interpretation of data such as text, images and sounds. Its ultimate goal is to enable machines to have the ability to analyze and learn like humans, and to be able to recognize data such as text, images, and sounds. Deep learning is a complex machine learning algorithm that has achieved results in speech and image recognition that far exceed previous related technologies. [0003] However, when common systems are in use, there is a lack of data inspection modules inside, which will make the data prone to errors when performing segmentation algorithms, resulting in low work efficiency. At the...

AI Technical Summary

Problems solved by technology

[0003] However, when common systems are in use, there is a lack of data inspection modules inside, which will make the data prone to errors when performing segmentation algorithms, resulting in low work efficiency and lack of Antivirus software protects in real time, which is not conducive to system security

Images