Open AccessTraining Network Design Based on Convolution Neural Network for Object Classification in few class problem
Author(s) -
임수창,
김승현,
김연호,
김도연
Publication year - 2017
Publication title -
han-guk jeongbo tongsin hakoe nonmunji
Language(s) - English
Resource type - Journals
eISSN - 2288-4165
pISSN - 2234-4772
DOI - 10.6109/jkiice.2017.21.1.144
Subject(s) - overfitting , computer science , artificial intelligence , pattern recognition (psychology) , convolution (computer science) , deep learning , artificial neural network , convolutional neural network , contextual image classification , class (philosophy) , data set , object (grammar) , abstraction , representation (politics) , image (mathematics) , philosophy , epistemology , politics , political science , law