Research on Network Information Security Applications Based on Deep Learning Algorithms

According to the principles of security management, intuitive scientificity, and scalability, an information security system architecture based on representation and metric deep learning algorithms was designed. Two key algorithm technologies, interactive interfaces, neural network algorithms, and convolutional operation algorithms, were used for information security prediction analysis and information security level interpretation. By optimizing the explanation mechanism, deep learning algorithm inference, and core knowledge acquisition, the security normalization management of application data was achieved.