원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.8 No.3
2015.06
pp.367-376
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Convolutional neural networks are a technology that combines artificial neural networks and recent deep learning methods. They have been applied to many image recognition tasks and have attracted the attention of the researchers of many countries in recent years. This paper summarizes the latest development of convolutional neural networks and expounds the relative research of image recognition technology and elaborates on the application of convolutional neural networks in handwritten numeral recognition.
목차
Abstract
1. Introduction
2. The Development of Convolutional Neural Networks
3. The Relative Research of Image Recognition Technology
4. The Application of Convolutional Neural Networks in Handwritten Numeral Recognition.
4.1.The MNIST Database of Handwritten Digits
4.2.The Working Mode of Convolutional Neural Network Model
4.3 The Structure of the Convolutional Neural Network Models Adopted in This Paper
4.4. The Experiment Result
5. Conclusion
References
1. Introduction
2. The Development of Convolutional Neural Networks
3. The Relative Research of Image Recognition Technology
4. The Application of Convolutional Neural Networks in Handwritten Numeral Recognition.
4.1.The MNIST Database of Handwritten Digits
4.2.The Working Mode of Convolutional Neural Network Model
4.3 The Structure of the Convolutional Neural Network Models Adopted in This Paper
4.4. The Experiment Result
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보