Research on Image Recognition Based on Deep Learning Technology

DOI

10.2991/amitp-16.2016.53How to use a DOI?

Keywords

Image Recognition; Deep Learning;

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/amitp-16.2016.53
ID  - Zhai2016/09
ER  -