Neural networks reliability for feedback processing.

Nowadays neural networks are a powerful instrument involved in industry, medicine, and science. AI takes part in graphics design, medicine, natural text processing, video recognition, speech generation, autonomous driving, and numerous other fields. Might AI completely replace a human workforce in specific areas? Or does it stay as a mighty instrument to facilitate task execution?

Firstly, I have analyzed CNN and RNN neural network structure.

Secondly, I have described an experiment to process feedback with AI to check its reliability

Content

Author and article information

Journal

Title: ScienceOpen Preprints

Publisher: ScienceOpen

Publication date (Electronic preprint): 2 March 2024

Affiliations

[1 ] ;

Author notes

[* ]Email: airermakova@ 123456gmail.com .

Author information

Anastasia Ermakova https://orcid.org/0000-0002-8088-0671

Article

DOI: 10.14293/PR2199.000740.v1

SO-VID: f7552b4d-c647-45d2-863d-46d73d42f704

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 2 March 2024

Neural networks reliability for feedback processing.

Abstract