Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

Research on Image Recognition Based on Deep Learning Technology

Authors
Hao Zhai
Corresponding Author
Hao Zhai
Available Online September 2016.
DOI
https://doi.org/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.
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Proceedings
2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.53How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 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  -