Research Article
Layering Images with Convolution Neural Networks on Cloud Computing
@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
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.
