Algorithm Optimization and Innovation of Deep Learning in Network Security Prediction and Analysis
This paper introduces the key role of data augmentation and preprocessing technology,structural optimization of deep learning models,and architectural innovation of deep learning models in network security.The structural optimization of deep learning models includes adjusting the network depth,width,and hierarchy,and these technologies can effectively improve the performance and effect of deep learning models in the field of network security,and provide new possibilities for building a strong network security defense system.
deep learningnetwork securityprediction and analysisalgorithm optimizationinnovative application
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