Deep learning evolution from shallow to deep: a case study based on language recognition

Yizhou Luo

doi:10.1117/12.2641495

10 November 2022 Deep learning evolution from shallow to deep: a case study based on language recognition

Yizhou Luo

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 1234822 (2022) https://doi.org/10.1117/12.2641495
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

Deep learning is a systems science based on neural network and machine learning. It abstracts complex data models by using multi-layer based on complex machine structures and nonlinear transformation algorithms. At present, the research results of deep learning have been successfully applied to speech recognition, pattern recognition, target recognition, natural language programming, man-machine chess, artificial intelligence, smart city and other fields. This paper mainly talks about how deep learning evolved and the evolution applied on speech recognition.

Citation Download Citation

Yizhou Luo "Deep learning evolution from shallow to deep: a case study based on language recognition", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 1234822 (10 November 2022); https://doi.org/10.1117/12.2641495

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