원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 10 Number 3
2022.09
pp.360-370
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.
목차
Abstract
1. INTRODUCTION
2. MACHINE LEARNING FOR MOBILE APPLICATION
3. MACHINE LEARNING TOOLS FOR MOBILE APPLICATION
3.1 iOS ML APIs
3.2 Core ML
3.3 Create ML
3.4 TensorFlow Lite
3.5 ML Kit
4. COMPARISON OF MACHINE LEARNING TOOLS FOR MOBILE APPLICATION
5. CONCLUSION
REFERENCES
1. INTRODUCTION
2. MACHINE LEARNING FOR MOBILE APPLICATION
3. MACHINE LEARNING TOOLS FOR MOBILE APPLICATION
3.1 iOS ML APIs
3.2 Core ML
3.3 Create ML
3.4 TensorFlow Lite
3.5 ML Kit
4. COMPARISON OF MACHINE LEARNING TOOLS FOR MOBILE APPLICATION
5. CONCLUSION
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보