Implementation of Face Recognition Based on Deep Learning Framework Caffe
Zijiang Zhu, Xiaoguang Deng, Yi Hu, Dong Liu, Junshan Li
Available Online March 2018.
- https://doi.org/10.2991/mecae-18.2018.144How to use a DOI?
- Deep learning, Neural network, Caffe, Face recognition.
- At present, deep learning has been recognized as the best research direction of face recognition. This paper describes the basic principle of neural network technology, uses deep learning framework Caffe to build neural network, and realizes face recognition by experiment. It also puts forward the major issues for face recognition research by the use of neural network, which provides reference for construction and implementation of Caffe Face Recognition.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zijiang Zhu AU - Xiaoguang Deng AU - Yi Hu AU - Dong Liu AU - Junshan Li PY - 2018/03 DA - 2018/03 TI - Implementation of Face Recognition Based on Deep Learning Framework Caffe BT - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018) PB - Atlantis Press SP - 189 EP - 194 SN - 2352-5401 UR - https://doi.org/10.2991/mecae-18.2018.144 DO - https://doi.org/10.2991/mecae-18.2018.144 ID - Zhu2018/03 ER -