원문정보
한국인터넷방송통신학회
The International Journal of Advanced Smart Convergence
Volume 6 Number 4
2017.12
pp.67-72
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Deep learning neural network becomes very popular nowadays due to the reason that it can learn a very complex dataset such as the image dataset. Although deep learning neural network can produce high accuracy on the image dataset, it needs a lot of time to reach the convergence stage. To solve the issue, we have proposed a scaling method to improve the neural network to achieve the convergence stage in a shorter time than the original method. From the result, we can observe that our algorithm has higher performance than the other previous work.
목차
Abstract
1. Introduction
2. Scaled neural network
2.1 Step to produce the k
3. Experimental method
4. Experimental results
5. Conclusion
Acknowledgement
References
1. Introduction
2. Scaled neural network
2.1 Step to produce the k
3. Experimental method
4. Experimental results
5. Conclusion
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보