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Nature of Computation and Communication. 8th EAI International Conference, ICTCC 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings

Research Article

Layering Images with Convolution Neural Networks on Cloud Computing

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28790-9_11,
        author={Tam Van Nguyen and Luan Khanh Tran and Tu Cam Thi Tran and Hiep Xuan Huynh},
        title={Layering Images with Convolution Neural Networks on Cloud Computing},
        proceedings={Nature of Computation and Communication. 8th EAI International Conference, ICTCC 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings},
        proceedings_a={ICTCC},
        year={2023},
        month={3},
        keywords={Deep learning Cloud computing Keras AWS cloud Convolution Neural Networks Image},
        doi={10.1007/978-3-031-28790-9_11}
    }
    
  • Tam Van Nguyen
    Luan Khanh Tran
    Tu Cam Thi Tran
    Hiep Xuan Huynh
    Year: 2023
    Layering Images with Convolution Neural Networks on Cloud Computing
    ICTCC
    Springer
    DOI: 10.1007/978-3-031-28790-9_11
Tam Van Nguyen1, Luan Khanh Tran, Tu Cam Thi Tran2, Hiep Xuan Huynh,*
  • 1: Department of Mechanical Weakness - Information Technology, Office of Hau Giang Provincial Party Committee
  • 2: Vinh Long University of Technology Education
*Contact email: hxhiep@ctu.edu.vn

Abstract

Artificial neural networks combined with deep learning (DL) techniques are becoming a very powerful tool that gives the best performance for many difficult problems such as: the speech recognition, the image recognition, etc. the language processing. The training of the neural network models takes place in many different languages, different techniques, different sizes of organizations. However, previous studies only focused on the model training techniques, the datasets, currently there is no research that fully introduces running artificial neural network models, the network models are run in the cloud connecting directly from RStudio. In this article, we focus on creating models and applying deep learning models of the artificial neural networks based on the cloud computing, in order to create a separate research direction. The results of this study open up a new approach to cloud-based deep learning programming, providing an additional choice of the deep learning approaches for those wishing to enter the field.

Keywords
Deep learning Cloud computing Keras AWS cloud Convolution Neural Networks Image
Published
2023-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28790-9_11
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