Fault and handling measures of computer network communication technology based on deep learning

In order to improve the security and efficiency of computer network communication, this article analyzes the application of deep learning technology in network communication fault detection and processing. By introducing convolutional neural networks and long short-term memory networks, research focuses on network fault prediction, feature extraction, and security reinforcement. The results indicate that combining these technologies can significantly improve the stability and security protection capabilities of the network, providing effective improvement strategies for network communication technology.