Implementation of an Open Artificial Intelligence Platform Based on Web and Tensorflow .
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| Title: | Implementation of an Open Artificial Intelligence Platform Based on Web and Tensorflow . |
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| Authors: | Hyun-Jun Park, Kyounghee Lee |
| Source: | Journal of Information & Communication Convergence Engineering; Sep2020, Vol. 18 Issue 3, p176-182, 7p |
| Subject Terms: | ARTIFICIAL intelligence, ARTIFICIAL neural networks, INTERNET servers, WEBSITES, LEARNING modules |
| Abstract: | In this paper, we propose a web-based open artificial intelligence (AI) platform which provides high convenience in input data pre-processing, artificial neural network training, and the configuration of subsequent operations according to inference results. The proposed platform has the advantages of the GUI-based environment which can be easily utilized by a user without complex installation. It consists of a web server implemented with the JavaScript Node.js library and a client running the tensorflow.js library. Using the platform, many users can simultaneously create, modify and run their projects to apply AI functionality into various smart services through an open web interface. With our implementation, we show the operability of the proposed platform. By loading a web page from the server, the client can perform GUI-based operations and display the results performed by three modules: the Input Module, the Learning Module and the Output Module. We also implement two application systems using our platform, called smart cashier and smart door, which demonstrate the platform’s practicality. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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