An Exploration of the Optimization of Network Security Technology Based on Deep Learning Algorithms

Abstract

With the development of society into the information age, artificial intelligence is developing rapidly, and its influence on various industries through machine learning and deep learning cannot be underestimated. Machine learning, as a branch of the field of artificial intelligence, allows computers to autonomously learn from data while performing tasks, to achieve the purpose of strengthening the combination of man and machine to adapt to changes in the environment, and ultimately to enhance the ability to find problems and solve problems. With the continuous exploration and development in the field of computer learning, deep learning using neural network algorithms has emerged and gradually played a key role in the field of network security. Therefore, this paper discusses the optimization scheme of network security technology based on deep learning algorithm with the background of network security, in order to provide certain reference for the solution of network security technology problems.