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 pape...

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Vydáno v:2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA) s. 1682 - 1685
Hlavní autor: Liu, Ying
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 28.06.2025
Témata:
Algorithm
Deep learning
Force
Hardware acceleration
Image recognition
Inference algorithms
Intelligent system
Intelligent systems
Optimization
Performance optimization
Reduced order systems
Speech processing
Speech recognition
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Shrnutí: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.
DOI:10.1109/ICIPCA65645.2025.11138755