IMAGE PROCESSING RESEARCH BASED ON DEEP NEURAL NETWORK
LeiBin Wu . · International Journal of Research in Engineering and Technology · 2017
Machine Learning is always the focus in research of pattern recognition in the field of artificial intelligence .Deep Learning the latest rising algorithm is a new type of machine learning methods in recent years .Nowadays a lot of machine learning methods are based on the shallow network structure , it's hard to express and generalize some of the complex nonlinear functions by this shallow network structure .Deep Learning can realize the approximation of the complex functions by one of the deep nonlinear neural network .The paper will mainly introduce two depth network model and combine them with each other in order to improve the quality of the network .Last we will verify the feasibility though the experiment.