A Study on the Application and the Advancement of Deep Neural Network Algorithm
Jiulin Song, Yansheng Chen
Abstract
Abstract 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.
Topics & Concepts
Deep learningComputer scienceArtificial neural networkArtificial intelligenceField (mathematics)Feature (linguistics)AlgorithmParallelism (grammar)Deep neural networksNervous system network modelsTime delay neural networkMachine learningTypes of artificial neural networksParallel computingMathematicsLinguisticsPhilosophyPure mathematicsAdvanced Technologies in Various FieldsAI and Multimedia in EducationAutomated Road and Building Extraction