Research on Image Recognition Based on Deep Learning Technology
- https://doi.org/10.2991/amitp-16.2016.53How to use a DOI?
- Image Recognition; Deep Learning;
Nowadays image recognition technology is widely used, and plays a very important in various fields. Deep learning technology uses multilayer structure to analyze and deal with image features, which can improve the performance of image recognition. The popular models of deep learning contain AutoEncoder, Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and other improved methods. The applications of image recognition based on deep learning technology including image classification, facial recognition, image search, object detection, pedestrian detection, video analysis. We believe that in the future deep learning will develop rapidly in theory, algorithm, and application and they will make our lives more intelligent.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hao Zhai PY - 2016/09 DA - 2016/09 TI - Research on Image Recognition Based on Deep Learning Technology BT - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016) PB - Atlantis Press SP - 266 EP - 270 SN - 2352-538X UR - https://doi.org/10.2991/amitp-16.2016.53 DO - https://doi.org/10.2991/amitp-16.2016.53 ID - Zhai2016/09 ER -