NEURAL NETWORK APPENDIX FOR RECOGNITION OF DACTYL ALPHABET SIGNS

Authors

  • Iryna Andriivna Balytska Python джуніор-розробник, Adozi Inc., США, Маямі

DOI:

https://doi.org/10.18372/2786-5487.1.15824

Keywords:

artificial neural network, convolutional neural network, dactyl alphabet, PyTorch

Abstract

The aspects of developing an application for solving the problem of recognition the hand gestures – deaf-mute alphabet signs – is considered. Artificial neural networks and computer vision are utilized.

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Published

2021-09-02

How to Cite

Balytska, I. A. (2021). NEURAL NETWORK APPENDIX FOR RECOGNITION OF DACTYL ALPHABET SIGNS. Actual Problems in the System of Education: General Secondary Education Institution – Pre-University Training – Higher Education Institution, 1(1), 60–62. https://doi.org/10.18372/2786-5487.1.15824

Issue

No. 1 (2021)

Section

Статті

License

Copyright (c) 2021 Actual Problems in the System of Education: General Secondary Education Institution – Pre-University Training – Higher Education Institution

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.