A WEB APPLICATION FOR REAL-TIME VISUALIZATION OF NEURAL NETWORK TRAINING

Authors

  • Dane Milišić Autor

DOI:

https://doi.org/10.24867/30BE26Milisic

Keywords:

JavaScript, React.JS, Socket.IO, Python, Neural networks, Web application

Abstract

This paper deals with the development of a web application for real-time visualization of neural network training. The goal is to explore the possibility of using modern web technologies such as React.JS for tracking neural network training. Different libraries are examined to determine the most optimal solution for various application segments.

 

References

[1] Fundamentals of Data Visualization, https://clauswilke.com/dataviz/
[2] Socket.IO – Official website, https://socket.io/
[3] TensorFlow – Official website, https://www.tensorflow.org/
[4] Python – Official website, https://www.python.org/

Downloads

Published

2025-03-07

Issue

Vol. 40 No. 03 (2025): Proceedings of the Faculty of Technical Sciences

Section

Electrotechnical and Computer Engineering