Deep learning as an advanced field of artificial intelligence research

In this article, the authors consider and analyze the system of modern principles and conceptual approaches to the study of deep learning. Deep learning is an advanced area of machine learning (ML) research. It consists of several hidden layers of artificial neural networks. The deep learning methodology applies nonlinear transformations and high-level model abstractions to large databases. Recent advances in the implementation of deep learning architecture in numerous areas have already made a significant contribution to the development of artificial intelligence. This article presents current research on the contribution and new applications of deep learning. The following overview presents, in chronological order, how and in which of the most significant applications deep learning algorithms were used. In addition, the benefits and advantages of deep learning methodology in its multi-layer hierarchy and nonlinear operations are presented, which are compared with more traditional algorithms in conventional applications. An overview of the latest developments in the field further reveals the General concepts, the ever-growing benefits and popularity of deep learning.