A Study on the Application and the Advancement of Deep Neural Network Algorithm

Deep neural network is a new type of learning algorithm, which has both global and local aspects and performs well in pattern recognition and computational speed. In recent years, deep neural network algorithm has been widely used in scientific research and real life, but its complexity, parallelism...

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Vydané v:Journal of physics. Conference series Ročník 2146; číslo 1; s. 12001 - 12006
Hlavní autori: Song, Jiulin, Chen, Yansheng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bristol IOP Publishing 01.01.2022
Predmet:
Algorithm
Algorithms
Artificial neural networks
Deep Neural Networks
Feature Extraction
Hierarchies
Machine Learning
Neural networks
Pattern recognition
Physics
The Advancement
ISSN:1742-6588, 1742-6596
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Popis
Shrnutí:Deep neural network is a new type of learning algorithm, which has both global and local aspects and performs well in pattern recognition and computational speed. In recent years, deep neural network algorithm has been widely used in scientific research and real life, but its complexity, parallelism and other characteristics lead it to be a very challenging and innovative research area. This study briefly introduces the basic principles and theoretical knowledge of deep neural network algorithms, and mainly discusses their applications and Advancement of feature extraction in the field.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2146/1/012001