APPARATUS FOR DATA CLASSIFICATION BASED ON BOOST POOLING NEURAL NETWORK, AND METHOD FOR TRAINING THE APPATRATUS

摘要

A data classification device based on a boost pooling neural network is disclosed. According to an embodiment of the present invention, the data classification device comprises: an input layer wherein data is inputted; an output layer outputting a plurality of first output values of the data regarding at least some classes among entire classes to be classified and outputting one first class value regarding remaining classes among the entire classes; and a boost pooling layer outputting one second output value per class by inputting at least one the first output value. The present invention provides a data classification device capable of precisely classifying data.