Study of the application of deep learning based on artificial intelligence technologies

115 106

Authors

  • A.T. Bayaly Khoja Akhmet Yassawi Kazakh-Turkish International University
  • N.M. Zhunissov Khoja Akhmet Yassawi Kazakh-Turkish International University
  • A.B. Zhaksylyk Khoja Akhmet Yassawi Kazakh-Turkish International University

Keywords:

Artificial intelligence (AI), deep learning, machine learning, neural network, algorithm, technology, object recognition.

Abstract

The study of the use of deep learning based on artificial intelligence (AI) technologies is a dynamic and dynamically developing field covering a wide variety of industries and industries. Deep learning, part of machine learning, involves the use of multiple neural networks to analyze and process data, allowing machines to learn and make decisions independently.
This article provides an overview of the main aspects related to the use of in-depth learning in the context of artificial intelligence. Deep learning is a field of machine learning research (machine learning-ML). The deep learning methodology uses nonlinear transformations and high-level model abstractions in large databases. The introduction of deep learning architecture in many areas has been making a significant contribution to the development of artificial intelligence. Therefore, the article provides the latest research on the contributions and new applications of deep learning to be considered.
Deep learning research methods based on artificial intelligence technologies the importance of the topic is a study designed to specifically observe the development of international culture. This study compares the management of deep learning methods for training, training in artificial intelligence technologies and the use of artificial intelligence. The research plan of this topic examines the preparation for identifying aspects of the development and transformation of pedagogical, technological and intelligent products of artificial intelligence technologies.

References

Rajesh S.B. Brief on Regression analysis // Logistic Regression Assumptions. URL: https://medium.com/greyatom/logistic-regression-89e496433063 (дата обращения: 04.11.2019)

Лысачев М.Н. Искусственный интеллект. Анализ, тренды, мировой опыт / М.Н.Лысачев, А.Н.Прохоров; научный редактор Д.А. Ларионов. - Корпоративное издание. – Москва; Белгород: КОНСТАНТА-принт, 2023. - 460 с.: ил., табл.

Max Simkoff, Andy Mahdavi, November 12, 2019, [Electronic resource]. - Available at:https://blogs.scientificamerican.com/observations/ai-doesntactually-exist-yet/(Accessed: 28.11.2022).

Artificial Intelligence Definition, 09 Nov 2020, Article By: Nunung Nurul Qomariyah, Ph.D [Electronic resource]. - Available at:https: // international.binus.ac.id / computer-science /2020/11/09/ artificial intelligence-definition/ (Accessed: 28.11.2022).

Introduction to the JAGI Special Issue «On Defining Artificial Intelligence» February 2020. Journal of artificial General Intelligence Special Issue «On Defining Artificial Intelligence» [Electronic resource]. - Available at: https: // www.researchgate.net / publication /39720104_Introduction_to_the_JAGI_Special_Issue_On_Defining_Artificial_Intelligence_Commentaries_and_Author’s_Response (Accessed:28.11.2022).

Konstantinova L.V., Vorozhikhin V.V., Petrov A.M., Titova E.S., Shtykhno D.A. Generative Artificial Intelligence in Education: Discussions and Forecasts. Open Education. 2023;27(2):36-48. (In Russ.)

PETER MORGAN - Towards a General Theory of Intelligence | Rise of AI conference 2019 [Electronic resource]. - Available at: https://www.youtube.com/watch?v=qZf4f8nHKKU (Accessed:28.11.2022).

Machine Learning vs Deep Learning: A non-technical introduction [Electronic resource]. - Available at: https://medium.com@labai / machine-learning-vs-deep-learning-a-non-technical-introductiond2cdce6a953f (Accessed: 28.11.2022).

AI, Machine Learning and neural networks explained, 27 July 2020, Sieuwert van Otterloo [Electronic resource]. – Available at: https://ictinstitute.nl/ai-machine-learning-and-neural-networks-explained /(Accessed:28.11.2022).

Supervised vs Unsupervised Vs Reinforcement Learning – The fundamental differences JANUARY 24, 2021 [Электронный ресурс]. – Доступно: https://starship-knowledge.com / supervised-vs-unsupervised-reinforcement (Accessed: 28.11.2022).

A Gentle Introduction to Object Recognition with Deep Learning. By Jason Brownlee on May 22, 2019 [Electronic resource]. - Available at: https: // machine learning mastery.com / object-recognition-with-deep learning / (Accessed:28.11.2022).

Alexandre Villella. Jun 22, 2020. Time-to-Revenue in Self-Driving Cars [Electronic resource]. - Available at: https://medium.com/@ alexandrevillela/time-to-revenue-in-self-driving-cars-a48c9d7340a5 (Accessed:28.11.2022).

Machine Learning Tops AI Dollars by Sarah Feldman, May 10, 2019 [Electronic resource]. – Available at: https://www.statista.com/ chart/17966/worldwide-artificial-intelligence-funding/ (Accessed: 28.11.2022).

Павлов А.О. Искусственный интеллект в логистике // Актуальные исследования. 2021. №44 (71). С. 16-18. URL: https://apni.ru/article/3107-iskusstvennij-intellect-v-logistic

Еремина Л.В. Повышение эффективности логистического планирования за счет использования искусственного интеллекта / Л.В. Еремина, А.Ю. Мамойко, А.С. Папикян. Текст: непосредственный // Техника. Технологии. Инженерия. 2019. № 4 (14). С. 1-7. URL: https://moluch.ru/th/8/archive/142/4404/ (дата обращения: 14.02.2023).

Микуленков А.С. Искусственный интеллект: драйвер цифровой трансформации и источник экономических угроз // Ученые записки международного банковского института ISSN:24133345. 2022. №1(39). С.129-146.URL: https: // www.elibrary.ru / item.asp?id=48392462

Мешечкина Р.П., Ворона А.А. Перспективные направления развития таможенных органов на основе цифровых технологий и искусственного интеллекта // Вестник Белгородского университета кооперации, экономики и права. 2021. № 6 (91). С. 9-18.

Rajesh S.B. Brief on Regression analysis // Logistic Regression Assumptions. URL: https://medium.com/greyatom/logistic-regression-89e496433063 (дата обращения: 04.11.2019)

Лысачев М.Н. Искусственный интеллект. Анализ, тренды, мировой опыт / М.Н.Лысачев, А.Н.Прохоров; научный редактор Д.А. Ларионов. - Корпоративное издание. – Москва; Белгород: КОНСТАНТА-принт, 2023. - 460 с.: ил., табл.

Max Simkoff, Andy Mahdavi, November 12, 2019, [Electronic resource]. - Available at:https://blogs.scientificamerican.com/observations/ai-doesntactually-exist-yet/(Accessed: 28.11.2022).

Artificial Intelligence Definition, 09 Nov 2020, Article By: Nunung Nurul Qomariyah, Ph.D [Electronic resource]. - Available at:https: // international.binus.ac.id / computer-science /2020/11/09/ artificial intelligence-definition/ (Accessed: 28.11.2022).

Introduction to the JAGI Special Issue «On Defining Artificial Intelligence» February 2020. Journal of artificial General Intelligence Special Issue «On Defining Artificial Intelligence» [Electronic resource]. - Available at: https: // www.researchgate.net / publication /39720104_Introduction_to_the_JAGI_Special_Issue_On_Defining_Artificial_Intelligence_Commentaries_and_Author’s_Response (Accessed:28.11.2022).

Konstantinova L.V., Vorozhikhin V.V., Petrov A.M., Titova E.S., Shtykhno D.A. Generative Artificial Intelligence in Education: Discussions and Forecasts. Open Education. 2023;27(2):36-48. (In Russ.)

PETER MORGAN - Towards a General Theory of Intelligence | Rise of AI conference 2019 [Electronic resource]. - Available at: https://www.youtube.com/watch?v=qZf4f8nHKKU (Accessed:28.11.2022).

Machine Learning vs Deep Learning: A non-technical introduction [Electronic resource]. - Available at: https://medium.com@labai / machine-learning-vs-deep-learning-a-non-technical-introductiond2cdce6a953f (Accessed: 28.11.2022).

AI, Machine Learning and neural networks explained, 27 July 2020, Sieuwert van Otterloo [Electronic resource]. – Available at: https://ictinstitute.nl/ai-machine-learning-and-neural-networks-explained /(Accessed:28.11.2022).

Supervised vs Unsupervised Vs Reinforcement Learning – The fundamental differences JANUARY 24, 2021 [Электронный ресурс]. – Доступно: https://starship-knowledge.com / supervised-vs-unsupervised-reinforcement (Accessed: 28.11.2022).

A Gentle Introduction to Object Recognition with Deep Learning. By Jason Brownlee on May 22, 2019 [Electronic resource]. - Available at: https: // machine learning mastery.com / object-recognition-with-deep learning / (Accessed:28.11.2022).

Alexandre Villella. Jun 22, 2020. Time-to-Revenue in Self-Driving Cars [Electronic resource]. - Available at: https://medium.com/@ alexandrevillela/time-to-revenue-in-self-driving-cars-a48c9d7340a5 (Accessed:28.11.2022).

Machine Learning Tops AI Dollars by Sarah Feldman, May 10, 2019 [Electronic resource]. – Available at: https://www.statista.com/ chart/17966/worldwide-artificial-intelligence-funding/ (Accessed: 28.11.2022).

Павлов А.О. Искусственный интеллект в логистике // Актуальные исследования. 2021. №44 (71). С. 16-18. URL: https://apni.ru/article/3107-iskusstvennij-intellect-v-logistic

Еремина Л.В. Повышение эффективности логистического планирования за счет использования искусственного интеллекта / Л.В. Еремина, А.Ю. Мамойко, А.С. Папикян. Текст: непосредственный // Техника. Технологии. Инженерия. 2019. № 4 (14). С. 1-7. URL: https://moluch.ru/th/8/archive/142/4404/ (дата обращения: 14.02.2023).

Микуленков А.С. Искусственный интеллект: драйвер цифровой трансформации и источник экономических угроз // Ученые записки международного банковского института ISSN:24133345. 2022. №1(39). С.129-146.URL: https: // www.elibrary.ru / item.asp?id=48392462

Мешечкина Р.П., Ворона А.А. Перспективные направления развития таможенных органов на основе цифровых технологий и искусственного интеллекта // Вестник Белгородского университета кооперации, экономики и права. 2021. № 6 (91). С. 9-18.

Published

2023-12-28