원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 6 Number 4
2018.12
pp.262-265
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Deep learning, a sub-field of machine learning changing the prospects of artificial intelligence (AI) because of its recent advancements and application in various field. Deep learning deals with algorithms inspired by the structure and function of the brain called artificial neural networks. This works reviews basic architecture and recent advancement of deep structured learning. It also describes contemporary applications of deep structured learning and its advantages over the treditional learning in artificial interlligence. This study is useful for the general readers and students who are in the early stage of deep learning studies.
목차
Abstract
1. Introduction
2. Architecture of Deep Learning
3. Application of Deep Learning
3.1 Automatic Speech Recognition (ASR)
3.2 Image processing
3.3 Natural Language Processing (NLP)
3.4 Recommender system
3.5 Other various areas
4. Conclusion
Acknowledgement
References
1. Introduction
2. Architecture of Deep Learning
3. Application of Deep Learning
3.1 Automatic Speech Recognition (ASR)
3.2 Image processing
3.3 Natural Language Processing (NLP)
3.4 Recommender system
3.5 Other various areas
4. Conclusion
Acknowledgement
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보