A survey on deep learning and its applications

Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to be closer to its primary goal-artificial intelligence. This paper mainly adopts the summary and the induction methods of deep learning. Firstly, it introduces the global development and the current situation of deep learning. Secondly, it describes the structural principle, the characteristics, and some kinds of classic models of deep learning, such as stacked auto encoder, deep belief network, deep Boltzmann machine, and convolutional neural network. Thirdly, it presents the latest developments and applications of deep learning in many fields such as speech processing, computer vision, natural language processing, and medical applications. Finally, it puts forward the problems and the future research directions of deep learning. (C) 2021 Elsevier Inc. All rights reserved.

Automated summary

This paper primarily focuses on the development, classic models, latest applications, problems, and future research directions of deep learning in various fields such as speech processing, computer vision, natural language processing, and medical applications.