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

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.

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Published

2023-12-28