Characters Style application Based Convolutional Neural Network

DOI

10.2991/ncce-18.2018.144How to use a DOI?

Keywords

characters; deep convolutional neural networks; image generation; network structure.

Abstract

In the past ten years, convolutional neural networks have achieved a series of breakthrough developments in the areas of classification detection, pattern recognition, and semantic segmentation. Convolutional neural network learning have led to a wide range of applications and research for its capabilities and feature extraction and classification recognition capabilities. And it has important analysis and research value. Firstly,the historical background and the development status of convolutional neural network is introduced. The following are basic structure and operation principle of convolutional neural network. What’s more, the network structure of Chinese character application based on convolutional neural network are mainly introduced. Finally we summarize the current deficiencies of the convolutional neural network and the future direction of development.

Copyright

© 2018, 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  - Haiyan Deng
AU  - Yijun Liu
PY  - 2018/05
DA  - 2018/05
TI  - Characters Style application Based Convolutional Neural Network
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 869
EP  - 872
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.144
DO  - 10.2991/ncce-18.2018.144
ID  - Deng2018/05
ER  -