Research on Implementation and Performance Optimization of Deep Learning in Intelligent Systems

As one of the key technologies of AI, deep learning is widely used in all kinds of intelligent systems, which has promoted the progress of image recognition, speech processing and other technologies. From the core algorithm and implementation process of deep learning in intelligent system, this paper analyzes the current main algorithms of artificial intelligence, automatic image recognition, intelligent voice recognition, personalized service, etc., and proposes several strategies to improve the efficiency of deep learning from the perspectives of improving hardware efficiency, module reduction, algorithm optimization, etc., so as to improve the computing efficiency of intelligent system, thus reducing latency.